{"id":"https://openalex.org/W4385834447","doi":"https://doi.org/10.1109/access.2023.3305405","title":"Tea Buds Detection in Complex Background Based on Improved YOLOv7","display_name":"Tea Buds Detection in Complex Background Based on Improved YOLOv7","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385834447","doi":"https://doi.org/10.1109/access.2023.3305405"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3305405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3305405","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10217818.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/ielx7/6287639/6514899/10217818.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011832323","display_name":"Junquan Meng","orcid":"https://orcid.org/0009-0002-4885-4120"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junquan Meng","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China","School of technology, Beijing Forestry University, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011535364","display_name":"Feng Kang","orcid":"https://orcid.org/0000-0002-9845-3790"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Kang","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China","School of technology, Beijing Forestry University, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9845-3790","affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651169","display_name":"Yaxiong Wang","orcid":"https://orcid.org/0000-0003-4370-7009"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxiong Wang","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China","School of technology, Beijing Forestry University, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035312288","display_name":"Siyuan Tong","orcid":"https://orcid.org/0000-0001-5434-5440"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Tong","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China","School of technology, Beijing Forestry University, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361488","display_name":"Chenxi Zhang","orcid":"https://orcid.org/0000-0002-5736-9285"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Zhang","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China","School of technology, Beijing Forestry University, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070293132","display_name":"Chongchong Chen","orcid":"https://orcid.org/0000-0003-4144-8592"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210132245","display_name":"Research Institute of Forestry","ror":"https://ror.org/02nmvgz47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210132245","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongchong Chen","raw_affiliation_strings":["School of Technology, Beijing Forestry University, Beijing, China","School of technology, Beijing Forestry University, Beijing, China","Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"School of technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Key Lab of State Forestry Administration for Forestry Equipment and Automation, Beijing, China","institution_ids":["https://openalex.org/I4210132245"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2976,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91539908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"88295","last_page":"88304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7077247500419617},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6267927885055542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6124902963638306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5408191680908203},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5311782360076904},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5143969655036926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4982616901397705},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4920918345451355},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.41740065813064575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41189149022102356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3375120162963867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3294191360473633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0999639630317688}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7077247500419617},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6267927885055542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6124902963638306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5408191680908203},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5311782360076904},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5143969655036926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4982616901397705},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4920918345451355},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.41740065813064575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41189149022102356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3375120162963867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3294191360473633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0999639630317688},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/access.2023.3305405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3305405","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10217818.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:f697d6225d4646579e0011da1fead06f","is_oa":true,"landing_page_url":"https://doaj.org/article/f697d6225d4646579e0011da1fead06f","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 Access, Vol 11, Pp 88295-88304 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3305405","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3305405","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10217818.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/G3852206081","display_name":null,"funder_award_id":"BLX201820","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4817416070","display_name":null,"funder_award_id":"2019BBF02009","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"}],"funders":[{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385834447.pdf","grobid_xml":"https://content.openalex.org/works/W4385834447.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2365772816","https://openalex.org/W2384683470","https://openalex.org/W2531409750","https://openalex.org/W2776855315","https://openalex.org/W2791438539","https://openalex.org/W2884585870","https://openalex.org/W2963037989","https://openalex.org/W2998301879","https://openalex.org/W2998927093","https://openalex.org/W3007512540","https://openalex.org/W3106250896","https://openalex.org/W3167722461","https://openalex.org/W3168459163","https://openalex.org/W3177052299","https://openalex.org/W3182734564","https://openalex.org/W3214752088","https://openalex.org/W4241105586","https://openalex.org/W4281728915","https://openalex.org/W4286697538","https://openalex.org/W4290839394","https://openalex.org/W4293222257","https://openalex.org/W4296019571","https://openalex.org/W4311955377","https://openalex.org/W4386076325","https://openalex.org/W4386985033","https://openalex.org/W6628973269","https://openalex.org/W6747043858","https://openalex.org/W6753412334","https://openalex.org/W6785652829","https://openalex.org/W6842243816","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2043523297","https://openalex.org/W2475378634","https://openalex.org/W2113405914","https://openalex.org/W2352508618","https://openalex.org/W2392529310","https://openalex.org/W2977517636","https://openalex.org/W1969179582","https://openalex.org/W2810129309"],"abstract_inverted_index":{"Aiming":[0],"at":[1,144],"the":[2,5,14,25,36,75,92,96,105,109,126,134,138,157],"problem":[3],"that":[4,104,119],"color":[6],"of":[7,91,98,108,120,141,159],"tea":[8,114,142,161],"buds":[9,115,143],"is":[10,21,129],"highly":[11],"similar":[12],"to":[13,23],"background":[15],"in":[16],"complex":[17],"scenes":[18],"and":[19,47,54,68,78,82,85,125,137,150],"it":[20],"difficult":[22],"identify":[24],"buds,":[26],"this":[27],"study":[28,153],"proposed":[29],"an":[30],"improved":[31,61,93,110],"YOLOv7":[32,111],"algorithm":[33,112],"by":[34,66,73,133],"replacing":[35],"original":[37],"convolution":[38],"blocks":[39],"with":[40],"Depth":[41],"Separable":[42],"Convolution":[43],"(DS":[44],"Conv)":[45],"blocks,":[46],"adding":[48],"Convolutional":[49],"Block":[50],"Attention":[51,56],"Modules":[52],"(CBAM)":[53],"Coordinate":[55],"(CA)":[57],"modules.":[58],"The":[59,101],"method":[60],"mean":[62,69],"Average":[63],"Precision":[64],"(mAP)":[65],"1.28%":[67],"Recall":[70],"(mR)":[71],"rate":[72],"2.92%,":[74],"final":[76],"mAP":[77],"mR":[79],"reached":[80],"96.70%":[81],"93.88%,":[83],"respectively,":[84],"30.62":[86],"Frame":[87],"Per":[88],"Second":[89],"(FPS)":[90],"model":[94],"meets":[95],"requirements":[97],"real-time":[99],"detection.":[100],"results":[102],"show":[103],"detection":[106,123],"accuracy":[107,140],"for":[113,156],"was":[116,148],"higher":[117],"than":[118],"other":[121],"target":[122],"algorithms,":[124],"detecting":[127],"performance":[128],"not":[130],"significantly":[131],"affected":[132],"light":[135],"conditions,":[136],"recognition":[139],"each":[145],"growing":[146],"period":[147],"excellent":[149],"balanced.":[151],"This":[152],"provides":[154],"experience":[155],"realization":[158],"intelligent":[160],"picking.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}