{"id":"https://openalex.org/W4385300670","doi":"https://doi.org/10.1109/tgrs.2023.3299299","title":"SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression","display_name":"SRDF: Single-Stage Rotate Object Detector via Dense Prediction and False Positive Suppression","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385300670","doi":"https://doi.org/10.1109/tgrs.2023.3299299"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3299299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3299299","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5032928643","display_name":"Beihang Song","orcid":"https://orcid.org/0000-0003-2179-4949"},"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":"Beihang Song","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2179-4949","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337001","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-8181-0886"},"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":"Jing Li","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8181-0886","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1371-5801","affiliations":[{"raw_affiliation_string":"Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"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":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-8458","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268548","display_name":"Jun Chang","orcid":"https://orcid.org/0000-0002-3594-9879"},"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":"Jun Chang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3594-9879","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655825","display_name":"Jun Wan","orcid":"https://orcid.org/0000-0002-9961-7902"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wan","raw_affiliation_strings":["School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China","College of Computer Science and Software Engineering, Shen zhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9961-7902","affiliations":[{"raw_affiliation_string":"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China","institution_ids":["https://openalex.org/I158934434"]},{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shen zhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103078106","display_name":"Tianpeng Liu","orcid":"https://orcid.org/0000-0003-1239-1240"},"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":"Tianpeng Liu","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1239-1240","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":0.7613,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68804903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/minimum-bounding-box","display_name":"Minimum bounding box","score":0.7440750598907471},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7294726967811584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7258610129356384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915650963783264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6792929768562317},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6528509259223938},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6282721757888794},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6226657032966614},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.572659969329834},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5244108438491821},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4912981390953064},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.45295748114585876},{"id":"https://openalex.org/keywords/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.4431203007698059},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.43619441986083984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3694232702255249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2590998411178589},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.191989004611969},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.17315718531608582}],"concepts":[{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.7440750598907471},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7294726967811584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7258610129356384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915650963783264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6792929768562317},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6528509259223938},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6282721757888794},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6226657032966614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.572659969329834},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5244108438491821},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4912981390953064},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.45295748114585876},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.4431203007698059},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.43619441986083984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3694232702255249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2590998411178589},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.191989004611969},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.17315718531608582},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3299299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3299299","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G6224760140","display_name":null,"funder_award_id":"2019AEA170","funder_id":"https://openalex.org/F4320336744","funder_display_name":"Science and Technology Program of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320336744","display_name":"Science and Technology Program of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1745334888","https://openalex.org/W1972065312","https://openalex.org/W2143425792","https://openalex.org/W2194775991","https://openalex.org/W2296151615","https://openalex.org/W2339589954","https://openalex.org/W2400138547","https://openalex.org/W2412782625","https://openalex.org/W2464918637","https://openalex.org/W2550687635","https://openalex.org/W2594177559","https://openalex.org/W2605076167","https://openalex.org/W2605982830","https://openalex.org/W2725486421","https://openalex.org/W2752782242","https://openalex.org/W2784050770","https://openalex.org/W2788202095","https://openalex.org/W2855340099","https://openalex.org/W2884585870","https://openalex.org/W2910628332","https://openalex.org/W2943515156","https://openalex.org/W2962749812","https://openalex.org/W2962766617","https://openalex.org/W2962810613","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963624663","https://openalex.org/W2964294787","https://openalex.org/W2964979676","https://openalex.org/W2967487473","https://openalex.org/W2970370255","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W2989678931","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W2992196312","https://openalex.org/W2997747012","https://openalex.org/W3003295287","https://openalex.org/W3010864078","https://openalex.org/W3012573144","https://openalex.org/W3022917557","https://openalex.org/W3043183554","https://openalex.org/W3092088889","https://openalex.org/W3092693034","https://openalex.org/W3093319256","https://openalex.org/W3093565423","https://openalex.org/W3099008583","https://openalex.org/W3102695566","https://openalex.org/W3103179390","https://openalex.org/W3107075539","https://openalex.org/W3109055651","https://openalex.org/W3118321860","https://openalex.org/W3118957360","https://openalex.org/W3119027652","https://openalex.org/W3122893743","https://openalex.org/W3127987988","https://openalex.org/W3136761610","https://openalex.org/W3156315514","https://openalex.org/W3170033848","https://openalex.org/W3174389852","https://openalex.org/W3174873843","https://openalex.org/W3177052299","https://openalex.org/W3177105943","https://openalex.org/W3200975211","https://openalex.org/W3213677878","https://openalex.org/W3217491623","https://openalex.org/W4200586929","https://openalex.org/W4205580335","https://openalex.org/W4205832794","https://openalex.org/W4212841652","https://openalex.org/W4214648418","https://openalex.org/W4226456028","https://openalex.org/W4285111769","https://openalex.org/W4285189202","https://openalex.org/W4293584584","https://openalex.org/W4295312788","https://openalex.org/W4312804579","https://openalex.org/W4404090460","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6642972425","https://openalex.org/W6719590338","https://openalex.org/W6739844568","https://openalex.org/W6750227808","https://openalex.org/W6753033036","https://openalex.org/W6753412334","https://openalex.org/W6753494528","https://openalex.org/W6766978945","https://openalex.org/W6770886966","https://openalex.org/W6788870397","https://openalex.org/W6792062264","https://openalex.org/W6804539393","https://openalex.org/W6874182738"],"related_works":["https://openalex.org/W1964120219","https://openalex.org/W2023603361","https://openalex.org/W2540960825","https://openalex.org/W2768865287","https://openalex.org/W2161193411","https://openalex.org/W3211653591","https://openalex.org/W2766547489","https://openalex.org/W2546942002","https://openalex.org/W4385300670","https://openalex.org/W2963037989"],"abstract_inverted_index":{"Oriented":[0],"object":[1,58,144,256],"detection":[2,257],"has":[3],"made":[4],"astonishing":[5],"progress.":[6],"However,":[7],"existing":[8],"methods":[9],"neglect":[10],"to":[11,100,119,141,214],"address":[12,49],"the":[13,20,35,41,50,80,101,107,114,143,146,150,158,164,170,190,199,205,226,246,249],"issue":[14,171],"of":[15,43,83,91,110,160,166,172,192,248],"false":[16,129],"positives":[17],"caused":[18,33,175,195],"by":[19,34,88,176,196],"background":[21],"or":[22],"nearby":[23],"clutter":[24],"objects.":[25],"Meanwhile,":[26],"class":[27,173],"imbalance":[28,174],"and":[29,63,85,95,138,162,212,223,241],"boundary":[30,193],"overflow":[31,194],"issues":[32],"predicting":[36],"rotation":[37],"angles":[38],"may":[39],"affect":[40],"accuracy":[42],"rotated":[44,255],"bounding":[45,227],"box":[46],"predictions.":[47],"To":[48],"above":[51],"issues,":[52],"we":[53,69,133,203],"propose":[54],"a":[55,135,181,215],"Single-stage":[56],"Rotate":[57],"detector":[59],"via":[60],"Dense":[61],"prediction":[62,231],"False":[64,73],"positive":[65,130],"suppression":[66],"(SRDF).":[67],"Specifically,":[68],"design":[70],"an":[71],"Instance-level":[72],"Positive":[74],"Suppression":[75],"Module":[76],"(IFPSM),":[77],"IFPSM":[78],"acquires":[79],"weight":[81,98],"information":[82],"target":[84],"non-target":[86,111],"regions":[87,112],"supervised":[89],"learning":[90],"spatial":[92],"feature":[93,103,116],"encoding,":[94],"applies":[96],"these":[97],"values":[99],"deep":[102,115],"map,":[104],"thereby":[105],"attenuating":[106],"response":[108],"signals":[109],"within":[113],"map.":[117],"Compared":[118],"commonly":[120],"used":[121],"attention":[122],"mechanisms,":[123],"this":[124],"approach":[125],"more":[126],"accurately":[127,222],"suppresses":[128],"regions.":[131],"Then,":[132],"introduce":[134],"hybrid":[136],"classification":[137,185],"regression":[139],"method":[140,252],"represent":[142],"orientation,":[145],"proposed":[147,250],"mothed":[148],"divide":[149],"angle":[151],"into":[152],"two":[153],"segments":[154],"for":[155],"prediction,":[156,186],"reducing":[157],"number":[159],"categories":[161],"narrowing":[163],"range":[165],"regression.":[167],"This":[168],"alleviates":[169],"treating":[177],"one":[178],"degree":[179],"as":[180,187,189],"single":[182],"category":[183],"in":[184],"well":[188],"problem":[191],"directly":[197],"regressing":[198],"angle.":[200],"In":[201],"addition,":[202],"transform":[204],"traditional":[206],"post-processing":[207],"steps":[208],"based":[209],"on":[210,235],"matching":[211],"searching":[213],"two-dimensional":[216],"probability":[217],"distribution":[218],"mathematical":[219],"model,":[220],"which":[221],"quickly":[224],"extracts":[225],"boxes":[228],"from":[229],"dense":[230],"results.":[232],"Extensive":[233],"experiments":[234],"Remote":[236],"Sensing,":[237],"Synthetic":[238],"Aperture":[239],"Radar,":[240],"Scene":[242],"Text":[243],"benchmarks":[244],"demonstrate":[245],"superiority":[247],"SRDF":[251],"over":[253],"state-of-the-art":[254],"methods.":[258],"Our":[259],"codes":[260],"are":[261],"available":[262],"at":[263],"https://github.com/TomZandJerryZ/SRDF.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
