{"id":"https://openalex.org/W4390114327","doi":"https://doi.org/10.3390/rs16010059","title":"A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement","display_name":"A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4390114327","doi":"https://doi.org/10.3390/rs16010059"},"language":"en","primary_location":{"id":"doi:10.3390/rs16010059","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010059","pdf_url":"https://www.mdpi.com/2072-4292/16/1/59/pdf?version=1703253057","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/2072-4292/16/1/59/pdf?version=1703253057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065498068","display_name":"Yi Tan","orcid":"https://orcid.org/0000-0001-8902-4778"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Tan","raw_affiliation_strings":["Key Laboratory for Resilient Infrastructures of Coastal Cities, Ministry of Education, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Resilient Infrastructures of Coastal Cities, Ministry of Education, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112221797","display_name":"Xin Liu","orcid":"https://orcid.org/0009-0005-2601-6750"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109502695","display_name":"Shuaishuai Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuaishuai Jin","raw_affiliation_strings":["Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China"],"affiliations":[{"raw_affiliation_string":"Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391115","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-8892-0244"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China"],"affiliations":[{"raw_affiliation_string":"Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084228510","display_name":"Daochu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daochu Wang","raw_affiliation_strings":["Guangzhou Construction Engineering Co., Ltd., Guangzhou 510030, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Construction Engineering Co., Ltd., Guangzhou 510030, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017238969","display_name":"Xiaofeng Xie","orcid":"https://orcid.org/0000-0002-7970-2974"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofeng Xie","raw_affiliation_strings":["Guangzhou Construction Engineering Co., Ltd., Guangzhou 510030, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Construction Engineering Co., Ltd., Guangzhou 510030, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109502695"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.9857,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96264343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"59","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":1.0,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9905999898910522,"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/point-cloud","display_name":"Point cloud","score":0.7979868650436401},{"id":"https://openalex.org/keywords/flatness","display_name":"Flatness (cosmology)","score":0.764445424079895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418536901473999},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.6170750856399536},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5193289518356323},{"id":"https://openalex.org/keywords/geometric-shape","display_name":"Geometric shape","score":0.4320659637451172},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4262280762195587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41252461075782776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39134734869003296},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.26724135875701904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17803573608398438},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1404341757297516},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10314127802848816}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7979868650436401},{"id":"https://openalex.org/C2778530986","wikidata":"https://www.wikidata.org/wiki/Q5457948","display_name":"Flatness (cosmology)","level":3,"score":0.764445424079895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418536901473999},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.6170750856399536},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5193289518356323},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.4320659637451172},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4262280762195587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41252461075782776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39134734869003296},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.26724135875701904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17803573608398438},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1404341757297516},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10314127802848816},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26405456","wikidata":"https://www.wikidata.org/wiki/Q338","display_name":"Cosmology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16010059","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010059","pdf_url":"https://www.mdpi.com/2072-4292/16/1/59/pdf?version=1703253057","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:doaj.org/article:93bad25ca83c42e78eb56a9deaaa7522","is_oa":true,"landing_page_url":"https://doaj.org/article/93bad25ca83c42e78eb56a9deaaa7522","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":"Remote Sensing, Vol 16, Iss 1, p 59 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16010059","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16010059","pdf_url":"https://www.mdpi.com/2072-4292/16/1/59/pdf?version=1703253057","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/8","score":0.5099999904632568,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","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/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","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/G3880973209","display_name":null,"funder_award_id":"52308319","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/G4413561973","display_name":null,"funder_award_id":"2023A15150","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4871260389","display_name":null,"funder_award_id":"2023A151","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"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/G6246776548","display_name":null,"funder_award_id":"51501111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6690358936","display_name":null,"funder_award_id":"2023A1515011119","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6786260366","display_name":null,"funder_award_id":"2022B007","funder_id":"https://openalex.org/F4320325571","funder_display_name":"Shenzhen University"},{"id":"https://openalex.org/G7012638997","display_name":null,"funder_award_id":"2023A","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7705812921","display_name":null,"funder_award_id":"2022B007","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"},{"id":"https://openalex.org/G875952886","display_name":null,"funder_award_id":"52308319","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"},{"id":"https://openalex.org/G8873891464","display_name":null,"funder_award_id":"2023A1515011119","funder_id":"https://openalex.org/F4320331088","funder_display_name":"Natural Science Foundation for Young Scientists of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"},{"id":"https://openalex.org/F4320331088","display_name":"Natural Science Foundation for Young Scientists of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390114327.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W607109624","https://openalex.org/W1600914513","https://openalex.org/W1658042064","https://openalex.org/W1940623076","https://openalex.org/W1964936552","https://openalex.org/W1974659990","https://openalex.org/W1974942783","https://openalex.org/W1996772577","https://openalex.org/W2017585657","https://openalex.org/W2025853323","https://openalex.org/W2026729462","https://openalex.org/W2027280769","https://openalex.org/W2028541251","https://openalex.org/W2033318022","https://openalex.org/W2042771443","https://openalex.org/W2043900036","https://openalex.org/W2057531282","https://openalex.org/W2059122749","https://openalex.org/W2070549879","https://openalex.org/W2076032759","https://openalex.org/W2085078232","https://openalex.org/W2087952184","https://openalex.org/W2092940113","https://openalex.org/W2101443124","https://openalex.org/W2119512999","https://openalex.org/W2140038482","https://openalex.org/W2161044850","https://openalex.org/W2517726615","https://openalex.org/W2520512835","https://openalex.org/W2596546056","https://openalex.org/W2674352656","https://openalex.org/W2727643342","https://openalex.org/W2788968098","https://openalex.org/W2801573647","https://openalex.org/W2809411025","https://openalex.org/W2910920637","https://openalex.org/W2913109850","https://openalex.org/W2917081331","https://openalex.org/W2962818872","https://openalex.org/W2963046274","https://openalex.org/W2986615800","https://openalex.org/W2997179795","https://openalex.org/W3022463004","https://openalex.org/W3045667085","https://openalex.org/W3186228734","https://openalex.org/W3205863226","https://openalex.org/W4214720270","https://openalex.org/W4295296323","https://openalex.org/W4297733205","https://openalex.org/W4317106294","https://openalex.org/W6640300118","https://openalex.org/W6774235134"],"related_works":["https://openalex.org/W2150628625","https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3196715007","https://openalex.org/W2366440988","https://openalex.org/W4399030596","https://openalex.org/W2358582870","https://openalex.org/W4293059742"],"abstract_inverted_index":{"The":[0,111,149,165],"indoor":[1,17,48,188],"geometric":[2,18,42,49,117,189],"dimensions":[3,43,125,177],"of":[4,31,41,115,119,145,167],"a":[5,64],"building":[6],"are":[7,20],"crucial":[8],"for":[9,15,74,85],"acceptance":[10],"criteria.":[11],"Traditional":[12],"manual":[13],"methods":[14,202],"measuring":[16],"quality":[19,50,118,190],"labor-intensive,":[21],"time-consuming,":[22],"error-prone,":[23],"and":[24,38,100,104,113,123,130,135,143,155,175,181,196],"yield":[25],"non-reproducible":[26],"results.":[27],"With":[28],"the":[29,36,79,116,141,146,204],"advancement":[30],"ground-based":[32,55],"laser":[33,56],"scanning":[34,57],"technology,":[35],"efficient":[37],"precise":[39],"measurement":[40,51,112],"has":[44],"become":[45],"achievable.":[46],"An":[47],"method":[52,169],"based":[53,68,106],"on":[54,69,107],"is":[58,178],"presented":[59],"in":[60,170],"this":[61,163,168],"paper.":[62],"Initially,":[63],"coordinate":[65,76],"transformation":[66],"algorithm":[67],"selected":[70],"points":[71],"was":[72,89],"developed":[73,84],"conducting":[75],"conversion.":[77],"Subsequently,":[78],"Cube":[80],"Diagonal-based":[81],"Denoising":[82],"algorithm,":[83],"point":[86],"cloud":[87],"denoising,":[88],"employed.":[90],"Following":[91],"that,":[92],"architectural":[93],"components":[94],"such":[95],"as":[96],"walls,":[97],"ceilings,":[98],"floors,":[99],"openings":[101],"were":[102,126,137],"identified":[103],"extracted":[105],"their":[108],"spatial":[109],"relationships.":[110],"visualization":[114],"walls\u2019":[120],"flatness,":[121,173],"verticality,":[122,174],"opening":[124,176],"automated":[127],"using":[128,162,203],"fitting":[129],"simulation":[131],"methods.":[132],"Lastly,":[133],"tests":[134],"validation":[136],"conducted":[138],"to":[139,199],"assess":[140],"accuracy":[142,166],"applicability":[144],"proposed":[147,205],"method.":[148,164,206],"experimental":[150],"results":[151,185],"demonstrate":[152],"that":[153,187],"time":[154],"human":[156],"resources":[157],"can":[158,191],"be":[159,192],"significantly":[160],"saved":[161],"assessing":[171],"wall":[172],"77.8%,":[179],"88.9%,":[180],"95.9%,":[182],"respectively.":[183],"These":[184],"indicate":[186],"detected":[193],"more":[194],"accurately":[195],"efficiently":[197],"compared":[198],"traditional":[200],"inspection":[201]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}