{"id":"https://openalex.org/W4361275416","doi":"https://doi.org/10.3390/s23073596","title":"Improved Optimization Strategy Based on Region Division for Collaborative Multi-Agent Coverage Path Planning","display_name":"Improved Optimization Strategy Based on Region Division for Collaborative Multi-Agent Coverage Path Planning","publication_year":2023,"publication_date":"2023-03-30","ids":{"openalex":"https://openalex.org/W4361275416","doi":"https://doi.org/10.3390/s23073596","pmid":"https://pubmed.ncbi.nlm.nih.gov/37050656"},"language":"en","primary_location":{"id":"doi:10.3390/s23073596","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073596","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3596/pdf?version=1680158536","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/7/3596/pdf?version=1680158536","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079090183","display_name":"Yijie Qin","orcid":"https://orcid.org/0000-0001-6681-139X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Qin","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058898929","display_name":"Lei Fu","orcid":"https://orcid.org/0000-0002-6496-0161"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Fu","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038519621","display_name":"Dingxin He","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingxin He","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321249","display_name":"Zhi\u2010Wei Liu","orcid":"https://orcid.org/0000-0003-3005-1792"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwei Liu","raw_affiliation_strings":["School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038519621","https://openalex.org/A5100321249"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4891,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84238933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"7","first_page":"3596","last_page":"3596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9998999834060669,"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":0.9728999733924866,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9258999824523926,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.6576191186904907},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.6454652547836304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147933602333069},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.6125496029853821},{"id":"https://openalex.org/keywords/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.5946020483970642},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5568500757217407},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.5304063558578491},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5258275270462036},{"id":"https://openalex.org/keywords/eulerian-path","display_name":"Eulerian path","score":0.45582708716392517},{"id":"https://openalex.org/keywords/path-length","display_name":"Path length","score":0.4508204758167267},{"id":"https://openalex.org/keywords/any-angle-path-planning","display_name":"Any-angle path planning","score":0.4458322823047638},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4343160390853882},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.4328756332397461},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4124464988708496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25878798961639404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16759735345840454},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1560116708278656},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.14150869846343994},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.12323230504989624}],"concepts":[{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.6576191186904907},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.6454652547836304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147933602333069},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.6125496029853821},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.5946020483970642},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5568500757217407},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.5304063558578491},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5258275270462036},{"id":"https://openalex.org/C43058520","wikidata":"https://www.wikidata.org/wiki/Q624580","display_name":"Eulerian path","level":3,"score":0.45582708716392517},{"id":"https://openalex.org/C129045301","wikidata":"https://www.wikidata.org/wiki/Q7144654","display_name":"Path length","level":2,"score":0.4508204758167267},{"id":"https://openalex.org/C158485040","wikidata":"https://www.wikidata.org/wiki/Q4778119","display_name":"Any-angle path planning","level":4,"score":0.4458322823047638},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4343160390853882},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.4328756332397461},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4124464988708496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25878798961639404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16759735345840454},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1560116708278656},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.14150869846343994},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.12323230504989624},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C53469067","wikidata":"https://www.wikidata.org/wiki/Q505735","display_name":"Lagrangian","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23073596","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073596","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3596/pdf?version=1680158536","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:37050656","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37050656","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10099348","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10099348","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10099348/pdf/sensors-23-03596.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:afb336084d8b4e228d35117284e002ad","is_oa":true,"landing_page_url":"https://doaj.org/article/afb336084d8b4e228d35117284e002ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 7, p 3596 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/7/3596/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23073596","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":"Sensors; Volume 23; Issue 7; Pages: 3596","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23073596","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073596","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3596/pdf?version=1680158536","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G112931149","display_name":null,"funder_award_id":"2022CFA052","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G3849160823","display_name":null,"funder_award_id":"61973133\uff0c61972170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4372123473","display_name":null,"funder_award_id":"61973133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"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}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361275416.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W68472771","https://openalex.org/W124539925","https://openalex.org/W1604935688","https://openalex.org/W1608159678","https://openalex.org/W1641300110","https://openalex.org/W1873425142","https://openalex.org/W1981988453","https://openalex.org/W2012806873","https://openalex.org/W2019738489","https://openalex.org/W2030021468","https://openalex.org/W2044493395","https://openalex.org/W2063472265","https://openalex.org/W2089344586","https://openalex.org/W2093385687","https://openalex.org/W2105848344","https://openalex.org/W2110362031","https://openalex.org/W2129320259","https://openalex.org/W2163947939","https://openalex.org/W2267012268","https://openalex.org/W2283031475","https://openalex.org/W2346969910","https://openalex.org/W2361140013","https://openalex.org/W2579187612","https://openalex.org/W2888064822","https://openalex.org/W2906764419","https://openalex.org/W3003308247","https://openalex.org/W3003535951","https://openalex.org/W3021982876","https://openalex.org/W3041796216","https://openalex.org/W3097963854","https://openalex.org/W3100386740","https://openalex.org/W4205268283","https://openalex.org/W4242811155","https://openalex.org/W6659787839","https://openalex.org/W6682228397","https://openalex.org/W6683151470"],"related_works":["https://openalex.org/W2004837674","https://openalex.org/W2092513144","https://openalex.org/W3139139461","https://openalex.org/W3111684308","https://openalex.org/W2165808384","https://openalex.org/W2056737145","https://openalex.org/W2940127232","https://openalex.org/W1562914357","https://openalex.org/W1660309994","https://openalex.org/W4297094037"],"abstract_inverted_index":{"In":[0],"this":[1,93],"paper,":[2],"we":[3,95],"investigate":[4],"the":[5,20,34,49,58,71,89,101,107,116,123,138,149,153,159,167,172,184,190],"algorithms":[6],"for":[7,100,125],"traversal":[8],"exploration":[9,81,202,210],"and":[10,82,122,174,208],"path":[11,37,150,173],"coverage":[12,188],"of":[13,23,26,88,104,109,136,169,189,195,201],"target":[14,50,90,191],"regions":[15],"using":[16],"multiple":[17,53,196],"agents,":[18],"enabling":[19],"efficient":[21],"deployment":[22],"a":[24,30,145],"set":[25],"agents":[27],"to":[28,78,85,114,143,148],"cover":[29],"complex":[31],"region.":[32,91],"First,":[33],"original":[35],"multi-agent":[36],"planning":[38],"problem":[39],"(mCPP)":[40],"is":[41,112,141],"transformed":[42],"into":[43,52],"several":[44],"single-agent":[45],"sub-problems,":[46],"by":[47,70,131],"dividing":[48],"region":[51,160],"balanced":[54,126],"sub-regions,":[55],"which":[56,157],"reduces":[57],"explosive":[59],"combinatorial":[60],"complexity;":[61],"subsequently,":[62],"closed-loop":[63],"paths":[64],"are":[65],"planned":[66],"in":[67,119,171],"each":[68,86],"sub-region":[69],"rapidly":[72],"exploring":[73],"random":[74],"trees":[75],"(RRT)":[76],"algorithm":[77,140,182],"ensure":[79],"continuous":[80],"repeated":[83],"visits":[84],"node":[87],"On":[92],"basis,":[94],"also":[96],"propose":[97],"two":[98],"improvements:":[99],"corner":[102],"case":[103],"narrow":[105],"regions,":[106],"use":[108],"geodesic":[110,154],"distance":[111,118],"proposed":[113],"replace":[115],"Eulerian":[117],"Voronoi":[120],"partitioning,":[121],"iterations":[124],"partitioning":[127],"can":[128],"be":[129],"reduced":[130],"more":[132,162,177],"than":[133],"one":[134],"order":[135],"magnitude;":[137],"Dijkstra":[139],"introduced":[142],"assign":[144],"smaller":[146],"weight":[147],"cost":[151],"when":[152],"direction":[155],"changes,":[156],"makes":[158],"division":[161],"\"cohesive\",":[163],"thus":[164],"greatly":[165],"reducing":[166],"number":[168],"turns":[170],"making":[175],"it":[176],"robust.":[178],"The":[179],"final":[180],"optimization":[181],"ensures":[183],"following":[185],"characteristics:":[186],"complete":[187],"area,":[192],"wide":[193],"applicability":[194],"area":[197],"shapes,":[198],"reasonable":[199],"distribution":[200],"tasks,":[203],"minimum":[204],"average":[205],"waiting":[206],"time,":[207],"sustainable":[209],"without":[211],"any":[212],"preparation":[213],"phase.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}