{"id":"https://openalex.org/W3022656627","doi":"https://doi.org/10.1109/jstars.2020.2992298","title":"Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion","display_name":"Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022656627","doi":"https://doi.org/10.1109/jstars.2020.2992298","mag":"3022656627"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.2992298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.2992298","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09088264.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09088264.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101949052","display_name":"Shanxiong Chen","orcid":"https://orcid.org/0000-0002-9235-6340"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanxiong Chen","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9235-6340","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644664","display_name":"Wenzhong Shi","orcid":"https://orcid.org/0000-0002-3886-7027"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenzhong Shi","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033315448","display_name":"Mingting Zhou","orcid":"https://orcid.org/0000-0002-5150-4511"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingting Zhou","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5150-4511","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012727269","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-1643-5271"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1643-5271","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028526834","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0002-0856-7234"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong","School of Geospatial Engineering and Science, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0856-7234","affiliations":[{"raw_affiliation_string":"Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Geospatial Engineering and Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.621,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.80774868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"2081","last_page":"2095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.993399977684021,"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/computer-science","display_name":"Computer science","score":0.7901453971862793},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6010398268699646},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5599027872085571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.547933042049408},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5192280411720276},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5101130604743958},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47784969210624695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4775417745113373},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4476904273033142},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.43907126784324646},{"id":"https://openalex.org/keywords/photogrammetry","display_name":"Photogrammetry","score":0.41678574681282043},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.41492223739624023},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41483333706855774},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34056273102760315},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09497606754302979},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07171317934989929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7901453971862793},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6010398268699646},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5599027872085571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.547933042049408},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5192280411720276},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5101130604743958},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47784969210624695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4775417745113373},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4476904273033142},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.43907126784324646},{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.41678574681282043},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.41492223739624023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41483333706855774},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34056273102760315},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09497606754302979},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07171317934989929},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2020.2992298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.2992298","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09088264.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/89082","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/89082","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:doaj.org/article:b9edd8d7edb5468e972a9f48e50ab50b","is_oa":true,"landing_page_url":"https://doaj.org/article/b9edd8d7edb5468e972a9f48e50ab50b","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2081-2095 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.2992298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.2992298","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/8994817/09088264.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3479729433","display_name":null,"funder_award_id":"1-ZVN6","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G4631324087","display_name":null,"funder_award_id":"2017YFB0503604","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022656627.pdf","grobid_xml":"https://content.openalex.org/works/W3022656627.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1662323679","https://openalex.org/W1741230646","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1944630830","https://openalex.org/W1964167192","https://openalex.org/W1976044762","https://openalex.org/W1981565399","https://openalex.org/W1986427369","https://openalex.org/W1991367009","https://openalex.org/W1996749420","https://openalex.org/W2019545415","https://openalex.org/W2021422668","https://openalex.org/W2053395988","https://openalex.org/W2065738167","https://openalex.org/W2066312471","https://openalex.org/W2074597728","https://openalex.org/W2077264955","https://openalex.org/W2085665642","https://openalex.org/W2088805832","https://openalex.org/W2089525768","https://openalex.org/W2102673432","https://openalex.org/W2104872621","https://openalex.org/W2110158442","https://openalex.org/W2111207708","https://openalex.org/W2112772978","https://openalex.org/W2115193009","https://openalex.org/W2117186870","https://openalex.org/W2125188192","https://openalex.org/W2130898597","https://openalex.org/W2133059825","https://openalex.org/W2155148032","https://openalex.org/W2164976328","https://openalex.org/W2170764835","https://openalex.org/W2170912380","https://openalex.org/W2184116797","https://openalex.org/W2300635092","https://openalex.org/W2316981074","https://openalex.org/W2326674917","https://openalex.org/W2328946037","https://openalex.org/W2344125013","https://openalex.org/W2416190443","https://openalex.org/W2587360163","https://openalex.org/W2587989515","https://openalex.org/W2590095287","https://openalex.org/W2595680755","https://openalex.org/W2596161715","https://openalex.org/W2630837129","https://openalex.org/W2685970220","https://openalex.org/W2755226765","https://openalex.org/W2774038444","https://openalex.org/W2787614951","https://openalex.org/W2888889084","https://openalex.org/W2891567162","https://openalex.org/W2902098370","https://openalex.org/W2903523210","https://openalex.org/W2924260171","https://openalex.org/W2943401122","https://openalex.org/W2989983865","https://openalex.org/W3023411394","https://openalex.org/W6739696289","https://openalex.org/W6981165577"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4210818033"],"abstract_inverted_index":{"Extracting":[0],"buildings":[1],"from":[2,156],"remotely":[3],"sensed":[4],"data":[5,49,65],"is":[6,17,211],"a":[7,40,103,189,193,198],"fundamental":[8],"task":[9,16],"in":[10,24,216],"many":[11],"geospatial":[12],"applications.":[13,218],"However,":[14],"this":[15,35,37],"resistant":[18],"to":[19,22,107,154],"automation":[20],"due":[21],"variability":[23],"building":[25,43,92,104,110,130],"shapes":[26],"and":[27,50,59,74,121,197],"the":[28,78,116,138,145,149,157,162,174,185,203,209],"environmental":[29],"complexity":[30],"surrounding":[31],"buildings.":[32],"To":[33],"solve":[34],"problem,":[36],"article":[38],"introduces":[39],"novel":[41],"automatic":[42],"extraction":[44,182],"method":[45,71,147,176,187,210],"that":[46,144,173,208],"integrates":[47],"LiDAR":[48],"high":[51],"spatial":[52],"resolution":[53],"imagery":[54],"using":[55,137],"adaptive":[56,68],"iterative":[57,69],"segmentation":[58,70,97],"hierarchical":[60,88],"overlay":[61,89],"analysis":[62,90],"based":[63,76,95],"on":[64,77,96,115,161],"fusion.":[66],"An":[67],"overcomes":[72],"over-":[73],"undersegmentation":[75],"globalized":[79],"probability":[80],"of":[81,191,195,200],"boundary":[82],"contour":[83],"detection":[84],"algorithm.":[85],"A":[86,99,165],"data-fusion-based":[87],"extracts":[91],"candidate":[93,105],"regions":[94],"results.":[98,111,183],"morphological":[100],"operation":[101],"optimizes":[102],"region":[106],"obtain":[108],"final":[109],"Experiments":[112],"were":[113,132],"conducted":[114],"international":[117],"society":[118],"for":[119],"photogrammetry":[120],"remote":[122],"sensing":[123],"(ISPRS)":[124],"Vaihingen":[125,205],"benchmark":[126],"dataset.":[127],"The":[128],"extracted":[129,136],"footprints":[131],"compared":[133,153],"with":[134,168,213],"those":[135],"state-of-the-art":[139,170],"methods.":[140],"Evaluation":[141],"results":[142,155],"show":[143],"proposed":[146,175,186],"achieved":[148,188],"highest":[150],"area-based":[151],"quality":[152,199],"other":[158],"tested":[159],"methods":[160,171],"ISPRS":[163],"website.":[164],"detailed":[166],"comparison":[167],"four":[169],"shows":[172],"requiring":[177],"no":[178],"samples":[179],"achieves":[180],"competitive":[181],"Furthermore,":[184],"completeness":[190],"94.1%,":[192],"correctness":[194],"90.3%,":[196],"85.5%":[201],"over":[202],"whole":[204],"dataset,":[206],"indicating":[207],"robust,":[212],"great":[214],"potential":[215],"practical":[217]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
