{"id":"https://openalex.org/W4381327837","doi":"https://doi.org/10.1109/access.2023.3287940","title":"Exploring Semantic Information Extraction From Different Data Forms in 3D Point Cloud Semantic Segmentation","display_name":"Exploring Semantic Information Extraction From Different Data Forms in 3D Point Cloud Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4381327837","doi":"https://doi.org/10.1109/access.2023.3287940"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3287940","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287940","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10156854.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10156854.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059914660","display_name":"Ansi Zhang","orcid":"https://orcid.org/0000-0002-5888-1184"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ansi Zhang","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055097216","display_name":"Song Li","orcid":"https://orcid.org/0009-0004-0933-1532"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Li","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106698710","display_name":"Jie Wu","orcid":"https://orcid.org/0009-0000-4587-1801"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384255","display_name":"Bao Zhang","orcid":"https://orcid.org/0000-0003-3236-221X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059914660"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.1503,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91911452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"61929","last_page":"61949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9957000017166138,"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":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.9017534255981445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8434025049209595},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8346114158630371},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5253378748893738},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4868106544017792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45902520418167114},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45663124322891235},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43863046169281006},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4318579435348511},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4105266332626343},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34594249725341797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3413041830062866}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9017534255981445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434025049209595},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8346114158630371},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5253378748893738},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4868106544017792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45902520418167114},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45663124322891235},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43863046169281006},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4318579435348511},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4105266332626343},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34594249725341797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413041830062866},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":2,"locations":[{"id":"doi:10.1109/access.2023.3287940","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287940","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10156854.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a49ca640b2434775818f8f5932fca81a","is_oa":true,"landing_page_url":"https://doaj.org/article/a49ca640b2434775818f8f5932fca81a","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":"IEEE Access, Vol 11, Pp 61929-61949 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3287940","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3287940","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10156854.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1024661548","display_name":null,"funder_award_id":"Platform","funder_id":"https://openalex.org/F4320326674","funder_display_name":"Department of Education of Guizhou Province"},{"id":"https://openalex.org/G5369140197","display_name":null,"funder_award_id":"[2022]142","funder_id":"https://openalex.org/F4320335952","funder_display_name":"Guizhou Education Department Youth Science and Technology Talents Growth Project"},{"id":"https://openalex.org/G5517038434","display_name":null,"funder_award_id":"2020YFB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6426443712","display_name":null,"funder_award_id":"2020YFB1713300","funder_id":"https://openalex.org/F4320321927","funder_display_name":"Guizhou University"},{"id":"https://openalex.org/G7127202371","display_name":null,"funder_award_id":"(2021)74","funder_id":"https://openalex.org/F4320321927","funder_display_name":"Guizhou University"},{"id":"https://openalex.org/G7631137103","display_name":null,"funder_award_id":"2022]14","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8689087753","display_name":null,"funder_award_id":"2020YFB1713300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321927","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916"},{"id":"https://openalex.org/F4320326674","display_name":"Department of Education of Guizhou Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335952","display_name":"Guizhou Education Department Youth Science and Technology Talents Growth Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381327837.pdf","grobid_xml":"https://content.openalex.org/works/W4381327837.grobid-xml"},"referenced_works_count":138,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W1990517717","https://openalex.org/W1994699846","https://openalex.org/W2075638098","https://openalex.org/W2113640817","https://openalex.org/W2126786328","https://openalex.org/W2131396337","https://openalex.org/W2211722331","https://openalex.org/W2279098554","https://openalex.org/W2460657278","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2594519801","https://openalex.org/W2609719703","https://openalex.org/W2609946960","https://openalex.org/W2614059183","https://openalex.org/W2770174753","https://openalex.org/W2788158258","https://openalex.org/W2797997528","https://openalex.org/W2798297823","https://openalex.org/W2798965597","https://openalex.org/W2888754481","https://openalex.org/W2897529137","https://openalex.org/W2930709109","https://openalex.org/W2942498895","https://openalex.org/W2948107928","https://openalex.org/W2948494091","https://openalex.org/W2949553705","https://openalex.org/W2953399169","https://openalex.org/W2954174912","https://openalex.org/W2954258401","https://openalex.org/W2954561862","https://openalex.org/W2962701877","https://openalex.org/W2962912109","https://openalex.org/W2962928871","https://openalex.org/W2963057320","https://openalex.org/W2963121255","https://openalex.org/W2963123724","https://openalex.org/W2963125977","https://openalex.org/W2963158438","https://openalex.org/W2963163009","https://openalex.org/W2963182550","https://openalex.org/W2963226018","https://openalex.org/W2963231572","https://openalex.org/W2963281829","https://openalex.org/W2963312728","https://openalex.org/W2963438049","https://openalex.org/W2963509914","https://openalex.org/W2963517242","https://openalex.org/W2963706542","https://openalex.org/W2963719584","https://openalex.org/W2963721253","https://openalex.org/W2963727135","https://openalex.org/W2968296999","https://openalex.org/W2968557240","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2981856165","https://openalex.org/W2982210492","https://openalex.org/W2982319484","https://openalex.org/W2982589786","https://openalex.org/W2983098675","https://openalex.org/W2985088149","https://openalex.org/W2990045899","https://openalex.org/W2990479855","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W2991284067","https://openalex.org/W2998658430","https://openalex.org/W3003437478","https://openalex.org/W3009257359","https://openalex.org/W3012494314","https://openalex.org/W3025802147","https://openalex.org/W3034591723","https://openalex.org/W3035275207","https://openalex.org/W3035398346","https://openalex.org/W3035426492","https://openalex.org/W3047223011","https://openalex.org/W3087682120","https://openalex.org/W3093434340","https://openalex.org/W3109154950","https://openalex.org/W3109944402","https://openalex.org/W3116959466","https://openalex.org/W3119986872","https://openalex.org/W3120926185","https://openalex.org/W3130180315","https://openalex.org/W3131287729","https://openalex.org/W3132455321","https://openalex.org/W3135761984","https://openalex.org/W3137210930","https://openalex.org/W3154000858","https://openalex.org/W3158097430","https://openalex.org/W3166573884","https://openalex.org/W3167736108","https://openalex.org/W3168037706","https://openalex.org/W3169120894","https://openalex.org/W3171215128","https://openalex.org/W3171440254","https://openalex.org/W3173732446","https://openalex.org/W3177015573","https://openalex.org/W3177450673","https://openalex.org/W3183229916","https://openalex.org/W3199480997","https://openalex.org/W3202349074","https://openalex.org/W3203495808","https://openalex.org/W3204644301","https://openalex.org/W3206593131","https://openalex.org/W3207554615","https://openalex.org/W4205419321","https://openalex.org/W4214755140","https://openalex.org/W4225365663","https://openalex.org/W4229366028","https://openalex.org/W4283519211","https://openalex.org/W4288349627","https://openalex.org/W4295529465","https://openalex.org/W4312259052","https://openalex.org/W4312403179","https://openalex.org/W4312414163","https://openalex.org/W4312664299","https://openalex.org/W4312828305","https://openalex.org/W4312944418","https://openalex.org/W4313184971","https://openalex.org/W4317569045","https://openalex.org/W4319300695","https://openalex.org/W4324119993","https://openalex.org/W4385245566","https://openalex.org/W6695314431","https://openalex.org/W6736894448","https://openalex.org/W6739778489","https://openalex.org/W6739901393","https://openalex.org/W6761590077","https://openalex.org/W6761883357","https://openalex.org/W6763761063","https://openalex.org/W6765299845","https://openalex.org/W6765328322","https://openalex.org/W6772750526","https://openalex.org/W6781274669","https://openalex.org/W6783984961"],"related_works":["https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404"],"abstract_inverted_index":{"As":[0],"a":[1,55,185,200],"critical":[2],"step":[3],"in":[4,57,59,75,120,166],"3D":[5,156],"scene":[6],"understanding,":[7],"semantic":[8,62,95,114,123,152,162],"segmentation":[9,42,63,96,102,153,163],"of":[10,64,85,132,151,188,192],"point":[11,65,77,86,93,121,157,160],"clouds":[12,78],"has":[13],"broad":[14],"application":[15],"scenarios,":[16],"including":[17],"intelligent":[18],"driving,":[19],"augmented":[20],"reality,":[21],"smart":[22],"factories,":[23],"etc.":[24],"Point":[25],"cloud":[26,94,122,161],"data":[27,118],"is":[28,182],"complex":[29],"and":[30,32,97,195,204],"irregular,":[31],"traditional":[33],"machine":[34],"learning":[35,45],"methods":[36,134,174],"are":[37,139,145,169],"difficult":[38],"to":[39,54,183],"achieve":[40],"ideal":[41],"results.":[43],"Deep":[44],"techniques":[46,154,164],"have":[47],"yielded":[48],"remarkable":[49],"outcomes":[50],"for":[51,92,100,155,202],"researchers,":[52],"leading":[53],"surge":[56],"interest":[58],"investigating":[60],"the":[61,72,81,129,148,172,193],"clouds.":[66,87,158],"This":[67],"article":[68],"begins":[69],"by":[70,79],"examining":[71],"difficulties":[73],"involved":[74],"segmenting":[76],"analyzing":[80],"inherent":[82],"structural":[83],"characteristics":[84],"Then,":[88],"commonly":[89],"used":[90,198],"datasets":[91,138],"evaluation":[98],"metrics":[99],"assessing":[101],"performance":[103],"were":[104],"introduced.":[105],"Subsequently,":[106],"an":[107],"exploration":[108],"was":[109],"carried":[110],"out":[111],"on":[112,126,135],"extracting":[113],"information":[115],"from":[116,171],"different":[117],"forms":[119],"segmentation.":[124],"Based":[125],"these":[127,133],"findings,":[128],"experimental":[130],"results":[131],"publicly":[136],"available":[137],"compared":[140],"quantitatively.":[141],"Lastly,":[142],"several":[143],"outlooks":[144],"presented":[146,175],"regarding":[147],"future":[149],"development":[150],"The":[159,180],"summarized":[165],"this":[167,189],"paper":[168],"mainly":[170],"state-of-the-art":[173],"at":[176],"top":[177],"international":[178],"conferences.":[179],"goal":[181],"provide":[184],"comprehensive":[186],"overview":[187],"field\u2019s":[190],"state":[191],"art":[194],"can":[196],"be":[197],"as":[199],"reference":[201],"researchers":[203],"beginners.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
