{"id":"https://openalex.org/W3104564825","doi":"https://doi.org/10.1109/tgrs.2020.2969040","title":"Deep Learning Inversion of Electrical Resistivity Data","display_name":"Deep Learning Inversion of Electrical Resistivity Data","publication_year":2020,"publication_date":"2020-02-11","ids":{"openalex":"https://openalex.org/W3104564825","doi":"https://doi.org/10.1109/tgrs.2020.2969040","mag":"3104564825"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2969040","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":"http://arxiv.org/pdf/1904.05265","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101783387","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-5188-3320"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Data Science Institute, Shandong University, Jinan, China","Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China","School of Qilu Transportation, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Data Science Institute, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060385109","display_name":"Qian Guo","orcid":"https://orcid.org/0000-0001-7113-4135"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Guo","raw_affiliation_strings":["Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042107634","display_name":"Shucai Li","orcid":"https://orcid.org/0000-0002-4914-0325"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shucai Li","raw_affiliation_strings":["Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China","School of Qilu Transportation, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455","https://openalex.org/I4210109718"]},{"raw_affiliation_string":"Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061616083","display_name":"Benchao Liu","orcid":"https://orcid.org/0000-0002-1798-868X"},"institutions":[{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benchao Liu","raw_affiliation_strings":["School of Qilu Transportation, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006793709","display_name":"Yuxiao Ren","orcid":"https://orcid.org/0000-0002-7023-0632"},"institutions":[{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Ren","raw_affiliation_strings":["School of Qilu Transportation, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006883","display_name":"Yonghao Pang","orcid":"https://orcid.org/0000-0002-1848-8134"},"institutions":[{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghao Pang","raw_affiliation_strings":["School of Qilu Transportation, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991070","display_name":"Xu Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Guo","raw_affiliation_strings":["Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Geotechnical and Structural Engineering Research Center, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056635606","display_name":"Lanbo Liu","orcid":"https://orcid.org/0000-0001-6721-2460"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"funder","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanbo Liu","raw_affiliation_strings":["University of Connecticut, Mansfield, USA"],"affiliations":[{"raw_affiliation_string":"University of Connecticut, Mansfield, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091117089","display_name":"Peng Jiang","orcid":"https://orcid.org/0000-0002-7342-7940"},"institutions":[{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"funder","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jiang","raw_affiliation_strings":["School of Qilu Transportation, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.118,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":167,"citation_normalized_percentile":{"value":0.999907,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"58","issue":"8","first_page":"5715","last_page":"5728"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.998,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7758384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.60462785},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.56552327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56366694},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.52042466},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5120037},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4494179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4002843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39244667},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13678598},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2969040","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.05265","pdf_url":"http://arxiv.org/pdf/1904.05265","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1904.05265","pdf_url":"https://arxiv.org/pdf/1904.05265","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1904.05265","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.05265","pdf_url":"http://arxiv.org/pdf/1904.05265","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320311026","funder_display_name":"Shandong University","award_id":null},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"U1806226"},{"funder":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong","award_id":"Z135050009107"}],"datasets":[],"versions":["https://openalex.org/W2937350470","https://openalex.org/W3104564825"],"referenced_works_count":62,"referenced_works":["https://openalex.org/W1515543311","https://openalex.org/W1570126984","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1923799275","https://openalex.org/W1964236991","https://openalex.org/W1967833299","https://openalex.org/W1968915050","https://openalex.org/W1976730797","https://openalex.org/W1977772221","https://openalex.org/W1980801769","https://openalex.org/W1983093939","https://openalex.org/W1985779979","https://openalex.org/W1992942239","https://openalex.org/W1999279042","https://openalex.org/W2013940486","https://openalex.org/W2014424020","https://openalex.org/W2019433708","https://openalex.org/W2025105905","https://openalex.org/W2030976848","https://openalex.org/W2033091591","https://openalex.org/W2067271121","https://openalex.org/W2081229197","https://openalex.org/W2091340121","https://openalex.org/W2114135037","https://openalex.org/W2121402967","https://openalex.org/W2146001101","https://openalex.org/W2158596874","https://openalex.org/W2163605009","https://openalex.org/W2164289056","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2285400781","https://openalex.org/W2332990274","https://openalex.org/W2342277278","https://openalex.org/W2467991189","https://openalex.org/W2477508086","https://openalex.org/W2513126885","https://openalex.org/W2538244214","https://openalex.org/W2556967412","https://openalex.org/W2574952845","https://openalex.org/W2776585113","https://openalex.org/W2783165089","https://openalex.org/W2799401390","https://openalex.org/W2804015809","https://openalex.org/W2809585091","https://openalex.org/W2887280559","https://openalex.org/W2890946821","https://openalex.org/W2915004230","https://openalex.org/W2919115771","https://openalex.org/W2949846184","https://openalex.org/W2963057024","https://openalex.org/W3017715243","https://openalex.org/W3020929080","https://openalex.org/W3096437212","https://openalex.org/W3099006605","https://openalex.org/W3103964896","https://openalex.org/W3110622110","https://openalex.org/W4233610117","https://openalex.org/W4301459988"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W3103566983","https://openalex.org/W2951211570","https://openalex.org/W2180954594","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W164103134"],"abstract_inverted_index":{"The":[0],"inverse":[1],"problem":[2],"of":[3,11,42,75,115,176,186],"electrical":[4],"resistivity":[5,57,61,80],"surveys":[6],"(ERSs)":[7],"is":[8],"difficult":[9],"because":[10],"its":[12],"nonlinear":[13,39],"and":[14,31,92,120,138,155,170,184,196,206],"ill-posed":[15],"nature.":[16],"For":[17],"this":[18,47],"task,":[19],"traditional":[20],"linear":[21],"inversion":[22,164],"methods":[23],"still":[24],"face":[25],"challenges":[26],"such":[27],"as":[28],"suboptimal":[29],"approximation":[30],"initial":[32],"model":[33,62],"selection.":[34],"Inspired":[35],"by":[36,65],"the":[37,53,71,78,89,99,116,124,167,182,187,192,212],"remarkable":[38],"mapping":[40,54],"ability":[41],"deep":[43,168],"learning":[44],"approaches,":[45],"in":[46,77],"article,":[48],"we":[49,102,128],"propose":[50],"to":[51,60,109,111,162,180,191],"build":[52],"from":[55],"apparent":[56,79],"data":[58,81],"(input)":[59],"(output)":[63],"directly":[64],"convolutional":[66],"neural":[67],"networks":[68],"(CNNs).":[69],"However,":[70],"vertically":[72],"varying":[73],"characteristic":[74],"patterns":[76],"may":[82],"cause":[83],"ambiguity":[84],"when":[85],"using":[86],"CNNs":[87,110],"with":[88,200],"weight":[90],"sharing":[91],"effective":[93],"receptive":[94],"field":[95],"properties.":[96],"To":[97],"address":[98],"potential":[100],"issue,":[101],"supply":[103],"an":[104],"additional":[105],"tier":[106,201],"feature":[107,202],"map":[108],"help":[112],"those":[113],"aware":[114],"relationship":[117],"between":[118],"input":[119],"output.":[121],"Based":[122],"on":[123],"prevalent":[125],"U-Net":[126],"architecture,":[127],"design":[129],"our":[130],"network":[131],"(ERSInvNet)":[132],"that":[133],"can":[134,139],"be":[135],"trained":[136],"end-to-end":[137],"reach":[140],"a":[141,151,156],"very":[142],"fast":[143],"inference":[144],"speed":[145],"during":[146],"testing.":[147],"We":[148],"further":[149],"introduce":[150],"depth":[152,207],"weighting":[153,208],"function":[154,161,209],"smooth":[157,204],"constraint":[158],"into":[159],"loss":[160],"improve":[163],"accuracy":[165],"for":[166],"region":[169],"suppress":[171],"false":[172],"anomalies.":[173],"Six":[174],"groups":[175],"experiments":[177],"are":[178],"considered":[179],"demonstrate":[181],"feasibility":[183],"efficiency":[185],"proposed":[188],"methods.":[189],"According":[190],"comprehensive":[193],"qualitative":[194],"analysis":[195],"quantitative":[197],"comparison,":[198],"ERSInvNet":[199],"map,":[203],"constraints,":[205],"together":[210],"achieve":[211],"best":[213],"performance.":[214]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3104564825","counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":37},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":1}],"updated_date":"2025-05-02T05:41:51.374932","created_date":"2020-11-23"}