{"id":"https://openalex.org/W2954680583","doi":"https://doi.org/10.1109/access.2019.2926448","title":"A Stacked Multi-Connection Simple Reducing Net for Brain Tumor Segmentation","display_name":"A Stacked Multi-Connection Simple Reducing Net for Brain Tumor Segmentation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954680583","doi":"https://doi.org/10.1109/access.2019.2926448","mag":"2954680583"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2926448","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926448","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08753510.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08753510.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030009218","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0003-3406-9770"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","Institute of Electronic and Information Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3406-9770","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Institute of Electronic and Information Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008874240","display_name":"Fujuan Chen","orcid":"https://orcid.org/0000-0003-3391-379X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujuan Chen","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3391-379X","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961736","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-3126-4944"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102846338","display_name":"Zhixing Wu","orcid":"https://orcid.org/0000-0002-6017-6353"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixing Wu","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773781","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-7705-8505"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043678635","display_name":"Dongyuan Wu","orcid":"https://orcid.org/0000-0002-0745-7404"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyuan Wu","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":4.9827,"has_fulltext":true,"cited_by_count":99,"citation_normalized_percentile":{"value":0.9623821,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"104011","last_page":"104024"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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/upsampling","display_name":"Upsampling","score":0.8433822393417358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8045250177383423},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6051269769668579},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5525359511375427},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5209563970565796},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5120769143104553},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5067837834358215},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.498964786529541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4392211139202118},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4208253026008606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3836284577846527},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2857188582420349},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1962662637233734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13789960741996765}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8433822393417358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045250177383423},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6051269769668579},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5525359511375427},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5209563970565796},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5120769143104553},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5067837834358215},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.498964786529541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4392211139202118},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4208253026008606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3836284577846527},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2857188582420349},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1962662637233734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13789960741996765},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2926448","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926448","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08753510.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8c947d01f4f4c919c4270f1a8828d5e","is_oa":true,"landing_page_url":"https://doaj.org/article/d8c947d01f4f4c919c4270f1a8828d5e","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 7, Pp 104011-104024 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2926448","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926448","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08753510.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G103473729","display_name":null,"funder_award_id":"U1401257","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G1401835659","display_name":null,"funder_award_id":"2018GZ0236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2335844241","display_name":null,"funder_award_id":"2018GZ0236","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5037168800","display_name":null,"funder_award_id":"U1401257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8048421096","display_name":null,"funder_award_id":"2018A030313354","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954680583.pdf","grobid_xml":"https://content.openalex.org/works/W2954680583.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1884191083","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2047482624","https://openalex.org/W2072088417","https://openalex.org/W2074266918","https://openalex.org/W2100495367","https://openalex.org/W2203956467","https://openalex.org/W2216125271","https://openalex.org/W2243449602","https://openalex.org/W2301358467","https://openalex.org/W2310992461","https://openalex.org/W2526009326","https://openalex.org/W2549070790","https://openalex.org/W2598666589","https://openalex.org/W2630837129","https://openalex.org/W2769763945","https://openalex.org/W2788805965","https://openalex.org/W2798905980","https://openalex.org/W2805010728","https://openalex.org/W2884366600","https://openalex.org/W2891772277","https://openalex.org/W2915815650","https://openalex.org/W2919839278","https://openalex.org/W2949117887","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6668494125","https://openalex.org/W6727911400","https://openalex.org/W6739696289","https://openalex.org/W6753385908"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"It":[0,271],"is":[1,79,94,108,163,186,198,210,216,298,309,324,347],"well":[2,32],"known":[3],"that":[4,95,149,211,273,301,344,370],"the":[5,12,20,24,52,62,65,74,86,97,100,103,125,166,178,208,212,223,228,242,248,261,268,285,290,302,306,313,318,321,329,345,351,360,364,371,376,381],"Unet":[6,129],"has":[7,280,375],"been":[8],"widely":[9],"used":[10],"in":[11,23,33,73,117,264,276],"area":[13],"of":[14,19,76,99,106,128,171,194,207,214,230,238,250,305,320],"medical":[15,37],"image":[16],"segmentation":[17,48,338,373],"because":[18],"cascade":[21,244],"connection":[22,283],"up-sampling":[25],"process.":[26,191,270],"However,":[27,64],"it":[28,132,297,340,366],"does":[29],"not":[30,80],"perform":[31],"dealing":[34],"with":[35,222,284,335,392],"complex":[36],"images,":[38],"such":[39],"as":[40,96,348,350,386],"brain":[41,136,382],"MRI.":[42],"In":[43],"order":[44],"to":[45,60,69,123,130,246,328,378,387],"achieve":[46],"better":[47],"performance":[49,319,346],"by":[50,152,218,220,358],"adopting":[51],"Unet,":[53,168],"many":[54],"researchers":[55],"have":[56],"paid":[57],"more":[58,133],"attention":[59],"stacking":[61,66],"Unet.":[63,225,316,331],"process":[67],"leads":[68],"a":[70,81,110,141,236,281],"large":[71],"increase":[72],"number":[75],"parameters.":[77],"This":[78],"good":[82,349],"choice":[83],"when":[84],"considering":[85],"tradeoff":[87],"between":[88,200],"precision":[89],"and":[90,174,180,196,202,296],"efficiency.":[91,394],"Another":[92],"problem":[93,229],"depth":[98],"network":[101,126,245,374],"increases,":[102],"excessive":[104],"loss":[105,249],"information":[107],"also":[109,234,325],"tricky":[111],"problem.":[112],"To":[113],"address":[114],"those":[115],"problems,":[116],"this":[118],"paper,":[119],"we":[120,233],"are":[121,150],"trying":[122],"improve":[124,247],"structure":[127],"make":[131],"suitable":[134],"for":[135,227],"tumor":[137,383],"segmentation.":[138],"We":[139],"propose":[140],"novel":[142],"framework":[143,308,362],"called":[144,156],"Stack":[145],"Multi-Connection":[146],"Simple":[147,157],"Reducing_Net(SMCSRNet)":[148],"stacked":[151,243,315,330],"our":[153],"basic":[154,160,278,292],"blocks":[155],"Reducing_Net(SRNet).":[158],"The":[159,192,204],"block":[161,279,293],"SRNet":[162,209],"improved":[164,326],"from":[165,289],"original":[167,224,314],"which":[169],"consists":[170],"four":[172],"downsampling":[173,190,269],"upsampling":[175],"operations":[176],"during":[177,267],"encoding":[179,201],"decoding.":[181,203],"Only":[182],"one":[183,277],"convolution":[184],"operation":[185,193,263],"performed":[187],"before":[188,260,294],"each":[189,265,274],"copy":[195],"crop":[197],"preserved":[199],"main":[205],"advantage":[206],"amount":[213],"parameters":[215,231],"reduced":[217],"4/5":[219],"comparing":[221,334],"Except":[226],"number,":[232],"proposed":[235,307,322,361,372],"series":[237],"bridge":[239,255,282],"connections":[240,256],"among":[241],"information.":[251],"More":[252],"specifically,":[253],"some":[254],"will":[257],"be":[258,342,368],"adopted":[259],"pooling":[262],"layer":[266,275],"means":[272],"same":[286],"feature":[287],"size":[288],"previous":[291],"pooling,":[295],"worth":[299],"noting":[300],"training":[303],"time":[304],"much":[310],"less":[311],"than":[312],"Moreover,":[317],"method":[323],"compared":[327],"When":[332],"further":[333],"other":[336],"state-of-the-art":[337],"networks,":[339],"can":[341,367],"found":[343],"most":[352],"popular":[353],"DenseNet":[354],"or":[355],"ResNet.":[356],"Overall,":[357],"evaluating":[359],"on":[363],"BRAT2015,":[365],"proven":[369],"ability":[377],"accurately":[379],"extract":[380],"boundary":[384],"so":[385],"obtain":[388],"higher":[389],"recognition":[390],"quality":[391],"high":[393]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
