{"id":"https://openalex.org/W4317930986","doi":"https://doi.org/10.3390/s23031320","title":"A Classification Method of Point Clouds of Transmission Line Corridor Based on Improved Random Forest and Multi-Scale Features","display_name":"A Classification Method of Point Clouds of Transmission Line Corridor Based on Improved Random Forest and Multi-Scale Features","publication_year":2023,"publication_date":"2023-01-24","ids":{"openalex":"https://openalex.org/W4317930986","doi":"https://doi.org/10.3390/s23031320","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772360"},"language":"en","primary_location":{"id":"doi:10.3390/s23031320","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031320","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1320/pdf?version=1674555865","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/1424-8220/23/3/1320/pdf?version=1674555865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072191652","display_name":"Qingyun Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyun Tang","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001191909","display_name":"Letan Zhang","orcid":"https://orcid.org/0000-0002-1079-3003"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Letan Zhang","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025522659","display_name":"Guiwen Lan","orcid":"https://orcid.org/0000-0002-0232-9817"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiwen Lan","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541006, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]},{"raw_affiliation_string":"Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031755536","display_name":"Xiaoyong Shi","orcid":"https://orcid.org/0000-0001-8548-8786"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyong Shi","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013048815","display_name":"Xinghui Duanmu","orcid":"https://orcid.org/0000-0002-3460-0536"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghui Duanmu","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636633","display_name":"Kan Chen","orcid":"https://orcid.org/0000-0003-3628-6699"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Chen","raw_affiliation_strings":["College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China","institution_ids":["https://openalex.org/I38706770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001191909"],"corresponding_institution_ids":["https://openalex.org/I38706770"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.2133,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86273608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"1320","last_page":"1320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9908000230789185,"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/random-forest","display_name":"Random forest","score":0.8092079758644104},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7775647044181824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052144765853882},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5324424505233765},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4971645176410675},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.47399985790252686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4574349522590637},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.44623053073883057},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.42150789499282837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4191793203353882},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41404253244400024},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3216988444328308},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1834867298603058},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13801780343055725},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06576171517372131}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8092079758644104},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7775647044181824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052144765853882},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5324424505233765},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4971645176410675},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.47399985790252686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4574349522590637},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.44623053073883057},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.42150789499282837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4191793203353882},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41404253244400024},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3216988444328308},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1834867298603058},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13801780343055725},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06576171517372131},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031320","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031320","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1320/pdf?version=1674555865","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:36772360","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772360","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:9919022","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9919022","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9919022/pdf/sensors-23-01320.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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:e9bf6cd88d4444faaee1104ad1969588","is_oa":true,"landing_page_url":"https://doaj.org/article/e9bf6cd88d4444faaee1104ad1969588","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 3, p 1320 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1320/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031320","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 3; Pages: 1320","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031320","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031320","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1320/pdf?version=1674555865","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1230088799","display_name":null,"funder_award_id":"41861050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G5994120800","display_name":null,"funder_award_id":"Natural","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4317930986.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1978879784","https://openalex.org/W1982094581","https://openalex.org/W1986522259","https://openalex.org/W1990519701","https://openalex.org/W1994699846","https://openalex.org/W2001014393","https://openalex.org/W2007200979","https://openalex.org/W2022394120","https://openalex.org/W2029895480","https://openalex.org/W2044515094","https://openalex.org/W2057749491","https://openalex.org/W2058537106","https://openalex.org/W2066233470","https://openalex.org/W2074773884","https://openalex.org/W2131256165","https://openalex.org/W2301086635","https://openalex.org/W2322716129","https://openalex.org/W2330711204","https://openalex.org/W2334845011","https://openalex.org/W2393787764","https://openalex.org/W2599022140","https://openalex.org/W2739137411","https://openalex.org/W2739764235","https://openalex.org/W2892686729","https://openalex.org/W2911964244","https://openalex.org/W2922416509","https://openalex.org/W2953708357","https://openalex.org/W2982681558","https://openalex.org/W2983050543","https://openalex.org/W2999710774","https://openalex.org/W3013918271","https://openalex.org/W3015550093","https://openalex.org/W3084646423","https://openalex.org/W3096162502","https://openalex.org/W3099213298","https://openalex.org/W3136610752","https://openalex.org/W3155874520","https://openalex.org/W3160028740","https://openalex.org/W3185177793","https://openalex.org/W3190036675","https://openalex.org/W3205684057","https://openalex.org/W4205438261","https://openalex.org/W4210885148","https://openalex.org/W4213416185","https://openalex.org/W6665123514","https://openalex.org/W6754630510","https://openalex.org/W6760964492","https://openalex.org/W6782971881","https://openalex.org/W6794976502"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3039673966","https://openalex.org/W3011239835","https://openalex.org/W4312534362","https://openalex.org/W4386970009","https://openalex.org/W3213126983","https://openalex.org/W3185760728","https://openalex.org/W2915047625"],"abstract_inverted_index":{"Classification":[0],"of":[1,8,12,56,59,62,91,100,114,121,139,145],"airborne":[2],"laser":[3],"scanning":[4],"(ALS)":[5],"point":[6,40,60,76,94,102,116,161],"clouds":[7,61,77],"power":[9,33,36],"lines":[10,34],"is":[11,20,48,66,156,166],"great":[13],"importance":[14],"to":[15,25,50,110,134,141,158],"their":[16],"reconstruction.":[17],"However,":[18],"it":[19],"still":[21],"a":[22,46],"difficult":[23],"task":[24],"efficiently":[26],"and":[27,35,54,72,118,127,177,201,206],"accurately":[28],"classify":[29,159],"the":[30,52,57,81,89,92,101,111,115,119,136,143,146,160,174,178,184],"ground,":[31],"vegetation,":[32],"pylons":[37],"from":[38,173],"ALS":[39],"clouds.":[41,162],"Therefore,":[42],"in":[43],"this":[44],"paper,":[45],"method":[47,165,196],"proposed":[49,164],"improve":[51],"accuracy":[53,205],"efficiency":[55],"classification":[58,154,204],"transmission":[63,122],"lines,":[64],"which":[65],"based":[67,186],"on":[68,187],"improved":[69],"Random":[70,152,193],"Forest":[71,153],"multi-scale":[73],"features.":[74],"The":[75,98,124,163],"are":[78,96,107,132],"filtered":[79,93],"by":[80,168],"optimized":[82],"progressive":[83],"TIN":[84],"densification":[85],"filtering":[86],"algorithm,":[87],"then":[88,149],"elevations":[90],"cloud":[95,103,117],"normalized.":[97],"features":[99,113,140],"at":[104],"different":[105,171],"scales":[106],"calculated":[108],"according":[109],"basic":[112],"characteristics":[120],"lines.":[123],"Relief":[125],"F":[126],"Sequential":[128],"Backward":[129],"Selection":[130],"algorithm":[131],"used":[133],"select":[135],"best":[137],"subset":[138],"estimate":[142],"parameters":[144],"learning":[147],"model,":[148],"an":[150],"Improved":[151],"model":[155],"built":[157],"verified":[167],"using":[169],"three":[170],"samples":[172],"study":[175],"area":[176],"results":[179],"show":[180],"that,":[181],"compared":[182],"with":[183],"methods":[185],"Support":[188],"Vector":[189],"Machines,":[190],"AdaBoost":[191],"or":[192],"Forest,":[194],"our":[195],"can":[197],"reduce":[198],"feature":[199],"redundancy":[200],"has":[202],"higher":[203],"efficiency.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}