{"id":"https://openalex.org/W3116963012","doi":"https://doi.org/10.1109/tip.2020.3045636","title":"A Global-Local Self-Adaptive Network for Drone-View Object Detection","display_name":"A Global-Local Self-Adaptive Network for Drone-View Object Detection","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3116963012","doi":"https://doi.org/10.1109/tip.2020.3045636","mag":"3116963012","pmid":"https://pubmed.ncbi.nlm.nih.gov/33360993"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3045636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3045636","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053102287","display_name":"Sutao Deng","orcid":"https://orcid.org/0000-0002-8984-516X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sutao Deng","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8984-516X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4182-1588","affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860507","display_name":"Ke Xie","orcid":"https://orcid.org/0000-0001-5483-6899"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xie","raw_affiliation_strings":["State Grid Information and Telecommunication Group Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064016745","display_name":"Wenfeng Song","orcid":"https://orcid.org/0000-0002-5101-1071"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Song","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5101-1071","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882797","display_name":"Xiao Liao","orcid":"https://orcid.org/0000-0002-0137-3541"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liao","raw_affiliation_strings":["State Grid Information and Telecommunication Group Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Information and Telecommunication Group Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-7699-1355","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2108,"has_fulltext":false,"cited_by_count":254,"citation_normalized_percentile":{"value":0.9808514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"1556","last_page":"1569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7733709812164307},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7150881886482239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6869958639144897},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5855008959770203},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5721163749694824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49942803382873535},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48767006397247314},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48459088802337646},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4567793905735016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44146254658699036},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4197675883769989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733709812164307},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7150881886482239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869958639144897},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5855008959770203},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5721163749694824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49942803382873535},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48767006397247314},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48459088802337646},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4567793905735016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44146254658699036},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4197675883769989},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.3045636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3045636","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:33360993","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33360993","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1195506233","display_name":null,"funder_award_id":"IIS-1715985","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1694221729","display_name":null,"funder_award_id":"IIS-0949467","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2877319249","display_name":null,"funder_award_id":"61532002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3986012012","display_name":null,"funder_award_id":"L182016","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5304081864","display_name":null,"funder_award_id":"IIS-1047715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5877057813","display_name":null,"funder_award_id":"2018YFB1700603","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5964015034","display_name":null,"funder_award_id":"IIS-1049448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6423037832","display_name":"\u57fa\u4e8e\u5e7f\u4e49\u96c6\u6210\u5b66\u4e60\u7684\u8d85\u58f0\u56fe\u50cf\u7532\u72b6\u817a\u7ed3\u8282\u81ea\u52a8\u8bc6\u522b\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61672077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1575060531","https://openalex.org/W1861492603","https://openalex.org/W1960182310","https://openalex.org/W2031489346","https://openalex.org/W2043552486","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2125215748","https://openalex.org/W2135440260","https://openalex.org/W2399953608","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579152745","https://openalex.org/W2613718673","https://openalex.org/W2768489488","https://openalex.org/W2774291319","https://openalex.org/W2795812085","https://openalex.org/W2796347433","https://openalex.org/W2798799804","https://openalex.org/W2897882347","https://openalex.org/W2909060814","https://openalex.org/W2910778976","https://openalex.org/W2921849979","https://openalex.org/W2924450865","https://openalex.org/W2924873663","https://openalex.org/W2962774998","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963346150","https://openalex.org/W2963351448","https://openalex.org/W2963372104","https://openalex.org/W2963381188","https://openalex.org/W2963786238","https://openalex.org/W2963790522","https://openalex.org/W2963897760","https://openalex.org/W2964241181","https://openalex.org/W2989611864","https://openalex.org/W2995199175","https://openalex.org/W2996735448","https://openalex.org/W3002826435","https://openalex.org/W3103461182","https://openalex.org/W3106250896","https://openalex.org/W3208645658","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6634243595","https://openalex.org/W6680132831","https://openalex.org/W6750227808","https://openalex.org/W6750759024","https://openalex.org/W6751325469","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Directly":[0],"benefiting":[1],"from":[2],"the":[3,53,121,128,134,140,151,155,167,172,176,188,210,220,228],"deep":[4],"learning":[5],"methods,":[6],"object":[7,20],"detection":[8,21,54,86],"has":[9],"witnessed":[10],"a":[11,84,89,99,106,111,245],"great":[12],"performance":[13],"boost":[14],"in":[15,74,80,154],"recent":[16],"years.":[17],"However,":[18],"drone-view":[19],"remains":[22],"challenging":[23],"for":[24,57,143,183],"two":[25],"main":[26],"reasons:":[27],"(1)":[28],"Objects":[29],"of":[30,232],"tiny-scale":[31],"with":[32,248],"more":[33,117,180,194,212],"blurs":[34],"w.r.t.":[35],"ground-view":[36],"objects":[37,51],"offer":[38],"less":[39],"valuable":[40],"information":[41,182],"towards":[42,205],"accurate":[43],"and":[44,98,161,192,198,216,224,230],"robust":[45],"detection;":[46],"(2)":[47],"The":[48,77,146,196],"unevenly":[49],"distributed":[50],"make":[52],"inefficient,":[55],"especially":[56],"regions":[58,153],"occupied":[59],"by":[60,133],"crowded":[61,152],"objects.":[62],"Confronting":[63],"such":[64],"challenges,":[65],"we":[66,170],"propose":[67],"an":[68,236],"end-to-end":[69],"global-local":[70,85,107],"self-adaptive":[71,93],"network":[72,87,102,114,206,240],"(GLSAN)":[73],"this":[75],"paper.":[76],"key":[78],"components":[79],"our":[81,233,239],"GLSAN":[82],"include":[83],"(GLDN),":[88],"simple":[90],"yet":[91],"efficient":[92],"region":[94],"selecting":[95],"algorithm":[96],"(SARSA),":[97],"local":[100,122],"super-resolution":[101],"(LSRN).":[103],"We":[104],"integrate":[105],"fusion":[108],"strategy":[109],"into":[110,166],"progressive":[112],"scale-varying":[113],"to":[115,174,202,244],"perform":[116],"precise":[118],"detection,":[119],"where":[120],"fine":[123],"detector":[124,137,189,211],"can":[125,148,162],"adaptively":[126],"refine":[127],"target's":[129],"bounding":[130],"boxes":[131],"detected":[132],"global":[135],"coarse":[136],"via":[138],"cropping":[139],"original":[141],"images":[142],"higher-resolution":[144],"detection.":[145],"SARSA":[147,197],"dynamically":[149],"crop":[150],"input":[156],"images,":[157,178],"which":[158,208],"is":[159,241],"unsupervised":[160],"be":[163],"easily":[164],"plugged":[165],"networks.":[168],"Additionally,":[169],"train":[171],"LSRN":[173,199],"enlarge":[175],"cropped":[177],"providing":[179],"detailed":[181],"finer-scale":[184],"feature":[185],"extraction,":[186],"helping":[187],"distinguish":[190],"foreground":[191],"background":[193],"easily.":[195],"also":[200,242],"contribute":[201],"data":[203],"augmentation":[204],"training,":[207],"makes":[209],"robust.":[213],"Extensive":[214],"experiments":[215],"comprehensive":[217],"evaluations":[218],"on":[219],"VisDrone2019-DET":[221],"benchmark":[222],"dataset":[223,226,247],"UAVDT":[225],"demonstrate":[227],"effectiveness":[229],"adaptivity":[231],"method.":[234],"Towards":[235],"industrial":[237],"application,":[238],"applied":[243],"DroneBolts":[246],"proven":[249],"advantages.":[250],"Our":[251],"source":[252],"codes":[253],"have":[254],"been":[255],"available":[256],"at":[257],"https://github.com/dengsutao/glsan.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":30},{"year":2025,"cited_by_count":85},{"year":2024,"cited_by_count":64},{"year":2023,"cited_by_count":44},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}