{"id":"https://openalex.org/W2990464187","doi":"https://doi.org/10.3390/rs11232841","title":"High-Resolution Optical Remote Sensing Image Registration via Reweighted Random Walk Based Hyper-Graph Matching","display_name":"High-Resolution Optical Remote Sensing Image Registration via Reweighted Random Walk Based Hyper-Graph Matching","publication_year":2019,"publication_date":"2019-11-29","ids":{"openalex":"https://openalex.org/W2990464187","doi":"https://doi.org/10.3390/rs11232841","mag":"2990464187"},"language":"en","primary_location":{"id":"doi:10.3390/rs11232841","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232841","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2841/pdf?version=1575460943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/23/2841/pdf?version=1575460943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100370845","display_name":"Yingdan Wu","orcid":"https://orcid.org/0000-0002-2815-6694"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]},{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yingdan Wu","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","Hubei Collaborative Innovation Centre for High-efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China","School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Hubei Collaborative Innovation Centre for High-efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012116347","display_name":"Liping Di","orcid":"https://orcid.org/0000-0002-3953-9965"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liping Di","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635425","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0001-9873-9839"},"institutions":[{"id":"https://openalex.org/I4210103140","display_name":"CCCC Highway Consultants (China)","ror":"https://ror.org/01bs84e19","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ming","raw_affiliation_strings":["Institute of Surveying and Mapping, CCCC Second Highway Consultants Co., Ltd., No. 18 Chuangye Road, Wuhan 430056, China"],"affiliations":[{"raw_affiliation_string":"Institute of Surveying and Mapping, CCCC Second Highway Consultants Co., Ltd., No. 18 Chuangye Road, Wuhan 430056, China","institution_ids":["https://openalex.org/I4210103140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540377","display_name":"Hui Lv","orcid":"https://orcid.org/0000-0003-3226-0926"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Lv","raw_affiliation_strings":["Hubei Collaborative Innovation Centre for High-efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China","School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"],"affiliations":[{"raw_affiliation_string":"Hubei Collaborative Innovation Centre for High-efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113977140","display_name":"Han Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Tan","raw_affiliation_strings":["Wuhan Vocational College of Software and Engineering, No. 117 Guanggu Avenue, Wuhan 430205, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Vocational College of Software and Engineering, No. 117 Guanggu Avenue, Wuhan 430205, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012116347"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.3065,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62056844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"23","first_page":"2841","last_page":"2841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12292","display_name":"Graph Theory and Algorithms","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6758013963699341},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6590953469276428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5890094041824341},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.545598030090332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5414526462554932},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5297799110412598},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5052643418312073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49300524592399597},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.42434629797935486},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4129020869731903},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4106512665748596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3500474691390991},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.34902575612068176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.267841637134552},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.26020127534866333}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6758013963699341},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6590953469276428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5890094041824341},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.545598030090332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5414526462554932},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5297799110412598},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5052643418312073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49300524592399597},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.42434629797935486},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4129020869731903},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4106512665748596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3500474691390991},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34902575612068176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.267841637134552},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.26020127534866333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs11232841","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232841","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2841/pdf?version=1575460943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/23/2841/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11232841","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 23; Pages: 2841","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11232841","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232841","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2841/pdf?version=1575460943","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3744313044","display_name":null,"funder_award_id":"Social","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5263985713","display_name":null,"funder_award_id":"201808420417","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174047481","display_name":null,"funder_award_id":"2018CFB540","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G7412646320","display_name":null,"funder_award_id":"61301278","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7742222752","display_name":null,"funder_award_id":"2014001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320309029","display_name":"George Mason University","ror":"https://ror.org/02jqj7156"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990464187.pdf","grobid_xml":"https://content.openalex.org/works/W2990464187.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1587878450","https://openalex.org/W1591388113","https://openalex.org/W1964855131","https://openalex.org/W1969081995","https://openalex.org/W1969455833","https://openalex.org/W1998840160","https://openalex.org/W2005107673","https://openalex.org/W2025970222","https://openalex.org/W2027305101","https://openalex.org/W2034872721","https://openalex.org/W2046434485","https://openalex.org/W2058409096","https://openalex.org/W2085261163","https://openalex.org/W2088392889","https://openalex.org/W2107880390","https://openalex.org/W2111308925","https://openalex.org/W2115072079","https://openalex.org/W2117228865","https://openalex.org/W2120339103","https://openalex.org/W2121225280","https://openalex.org/W2122419177","https://openalex.org/W2127252680","https://openalex.org/W2129708993","https://openalex.org/W2132508147","https://openalex.org/W2138910149","https://openalex.org/W2141584146","https://openalex.org/W2143667750","https://openalex.org/W2144502914","https://openalex.org/W2145072179","https://openalex.org/W2147555557","https://openalex.org/W2149448621","https://openalex.org/W2151103935","https://openalex.org/W2166820607","https://openalex.org/W2177274842","https://openalex.org/W2572013555","https://openalex.org/W2610752411","https://openalex.org/W2726622130","https://openalex.org/W2775386268","https://openalex.org/W2791873954","https://openalex.org/W2897157243","https://openalex.org/W2917604672","https://openalex.org/W2990138404"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W2359698967","https://openalex.org/W2354624122","https://openalex.org/W2037143534","https://openalex.org/W2888631859","https://openalex.org/W2357811830","https://openalex.org/W2046610828","https://openalex.org/W3154360165","https://openalex.org/W854405203","https://openalex.org/W4237936143"],"abstract_inverted_index":{"High-resolution":[0],"optical":[1,190],"remote":[2],"sensing":[3],"image":[4,54,81,175],"registration":[5,204],"is":[6,32,74,96,112,128,146,156,183,209],"still":[7],"a":[8,28,104,140],"challenging":[9],"task":[10],"due":[11],"to":[12,45,83,98,114,130,148,172],"non-linearity":[13],"in":[14,77,162,231],"the":[15,38,61,78,85,90,100,132,153,160,163,167,174,180,215,219],"intensity":[16],"differences":[17],"and":[18,42,106,122,201,229,239],"geometric":[19,87],"distortion.":[20],"In":[21],"this":[22],"paper,":[23],"an":[24,123],"efficient":[25,124],"method":[26,57,111,182,217],"utilizing":[27],"hyper-graph":[29,125],"matching":[30,66,95,110,116,126,161,221,240],"algorithm":[31,127],"proposed,":[33],"which":[34],"can":[35],"simultaneously":[36],"use":[37],"high-order":[39],"structure":[40],"information":[41],"radiometric":[43],"information,":[44],"obtain":[46],"thousands":[47],"of":[48,60,179,188,206,233,236],"feature":[49,120,137],"point":[50,94,121],"pairs":[51,187],"for":[52,118,135],"accurate":[53],"registration.":[55,176],"The":[56,177,211],"mainly":[58],"consists":[59],"following":[62],"steps:":[63],"firstly,":[64],"initial":[65],"by":[67],"Uniform":[68],"Robust":[69],"Scale-Invariant":[70],"Feature":[71],"Transform":[72],"(UR-SIFT)":[73],"carried":[75],"out":[76],"highest":[79],"pyramid":[80],"level":[82,208],"derive":[84,115],"approximate":[86],"relationship":[88],"between":[89],"images;":[91],"secondly,":[92],"two-stage":[93],"performed":[97],"find":[99,131],"matches,":[101],"that":[102,214],"is,":[103],"rotation":[105],"scale":[107],"invariant":[108],"area-based":[109],"used":[113,147,171],"candidates":[117],"each":[119,136],"applied":[129],"best":[133],"match":[134,150],"point;":[138],"thirdly,":[139],"local":[141],"quadratic":[142],"polynomial":[143],"constraint":[144],"framework":[145],"eliminate":[149],"outliers;":[151],"finally,":[152],"above":[154],"process":[155],"iterated":[157],"until":[158],"finishing":[159],"original":[164],"image.":[165],"Then,":[166],"obtained":[168],"correspondences":[169],"are":[170],"perform":[173],"effectiveness":[178],"proposed":[181,216],"tested":[184],"with":[185],"six":[186],"high-resolution":[189],"images,":[191],"covering":[192],"different":[193],"landscape":[194],"types\u2014such":[195],"as":[196,224],"mountain":[197],"area,":[198],"urban,":[199],"suburb,":[200],"flat":[202],"land\u2014and":[203],"accuracy":[205],"sub-pixel":[207],"obtained.":[210],"experiments":[212],"show":[213],"outperforms":[218],"conventional":[220],"algorithms":[222],"such":[223],"SURF,":[225],"AKAZE,":[226],"ORB,":[227],"BRISK,":[228],"FAST":[230],"terms":[232],"total":[234],"number":[235],"correct":[237],"matches":[238],"precision.":[241]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-12-05T00:00:00"}