{"id":"https://openalex.org/W4366548739","doi":"https://doi.org/10.1109/taslp.2023.3268577","title":"Inter-Frequency Phase Difference for Phase Reconstruction Using Deep Neural Networks and Maximum Likelihood","display_name":"Inter-Frequency Phase Difference for Phase Reconstruction Using Deep Neural Networks and Maximum Likelihood","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366548739","doi":"https://doi.org/10.1109/taslp.2023.3268577"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2023.3268577","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3268577","pdf_url":"https://ieeexplore.ieee.org/ielx7/6570655/6633080/10106067.pdf","source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6570655/6633080/10106067.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024228417","display_name":"Nguyen Binh Thien","orcid":"https://orcid.org/0000-0002-3883-1315"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nguyen Binh Thien","raw_affiliation_strings":["Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","Graduation School of Information Science and Engineering, Ritsumeikan University College of Information Science and Engineering, Kusatsu, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Graduation School of Information Science and Engineering, Ritsumeikan University College of Information Science and Engineering, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103010851","display_name":"Yukoh Wakabayashi","orcid":"https://orcid.org/0000-0001-8846-3699"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukoh Wakabayashi","raw_affiliation_strings":["Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan","Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan","institution_ids":["https://openalex.org/I136259955"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075933324","display_name":"Kenta Iwai","orcid":"https://orcid.org/0000-0002-9738-8579"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Iwai","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","Ritsumeikan University College of Information Science and Engineering Graduation School of Information Science and Engineering, Kusatsu, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Ritsumeikan University College of Information Science and Engineering Graduation School of Information Science and Engineering, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009257831","display_name":"Takanobu Nishiura","orcid":"https://orcid.org/0000-0002-1706-4743"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takanobu Nishiura","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024228417"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":1.8283,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8573111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"1667","last_page":"1680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/phase","display_name":"Phase (matter)","score":0.6747480630874634},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6252425909042358},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5841254591941833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5793887972831726},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5708096623420715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.53118896484375},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4884413778781891},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4526120126247406},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.41061872243881226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37265124917030334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34569868445396423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3350728750228882},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.2168271243572235},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.145499587059021},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11053898930549622},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09876853227615356}],"concepts":[{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.6747480630874634},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6252425909042358},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5841254591941833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5793887972831726},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5708096623420715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53118896484375},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4884413778781891},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4526120126247406},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.41061872243881226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37265124917030334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34569868445396423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3350728750228882},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.2168271243572235},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.145499587059021},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11053898930549622},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09876853227615356},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2023.3268577","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3268577","pdf_url":"https://ieeexplore.ieee.org/ielx7/6570655/6633080/10106067.pdf","source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/taslp.2023.3268577","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3268577","pdf_url":"https://ieeexplore.ieee.org/ielx7/6570655/6633080/10106067.pdf","source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1069223013","display_name":null,"funder_award_id":"JSPS KAKENHI","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G1189981291","display_name":"Audio-spot design on soundscape","funder_award_id":"19H04142","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4227499671","display_name":null,"funder_award_id":"KAKENHI Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4636223006","display_name":null,"funder_award_id":"JSPS KAK","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4758575475","display_name":null,"funder_award_id":"21K18372","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5729737560","display_name":"Complex-valued-spectral-domain speech enhancement through the relationship between amplitude and phase spectra of acoustic signals and its application.","funder_award_id":"20K19827","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6413066491","display_name":null,"funder_award_id":"JP21H03488","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7840269759","display_name":null,"funder_award_id":"JP20K","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8660599574","display_name":null,"funder_award_id":"21H04427","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8968253644","display_name":null,"funder_award_id":"21H03488","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335401","display_name":"Ritsumeikan Global Innovation Research Organization, Ritsumeikan University","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366548739.pdf","grobid_xml":"https://content.openalex.org/works/W4366548739.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W585975565","https://openalex.org/W1485446097","https://openalex.org/W1552314771","https://openalex.org/W1608599857","https://openalex.org/W1648796688","https://openalex.org/W1997396389","https://openalex.org/W2000769684","https://openalex.org/W2038786110","https://openalex.org/W2046736932","https://openalex.org/W2087070363","https://openalex.org/W2091743772","https://openalex.org/W2092262399","https://openalex.org/W2095072097","https://openalex.org/W2120847449","https://openalex.org/W2132085292","https://openalex.org/W2140348518","https://openalex.org/W2141998673","https://openalex.org/W2145212718","https://openalex.org/W2153541119","https://openalex.org/W2212590960","https://openalex.org/W2236262108","https://openalex.org/W2516594951","https://openalex.org/W2519091744","https://openalex.org/W2718615637","https://openalex.org/W2741913599","https://openalex.org/W2746654391","https://openalex.org/W2749881488","https://openalex.org/W2791686384","https://openalex.org/W2800537612","https://openalex.org/W2807065297","https://openalex.org/W2874689226","https://openalex.org/W2881244050","https://openalex.org/W2889134433","https://openalex.org/W2889597349","https://openalex.org/W2894785362","https://openalex.org/W2902806197","https://openalex.org/W2922391058","https://openalex.org/W2936689732","https://openalex.org/W2952218014","https://openalex.org/W2963175398","https://openalex.org/W2989528444","https://openalex.org/W2991361823","https://openalex.org/W3015213667","https://openalex.org/W3032514799","https://openalex.org/W3096709315","https://openalex.org/W3099330747","https://openalex.org/W3103301587","https://openalex.org/W3127686677","https://openalex.org/W3159987579","https://openalex.org/W3161748343","https://openalex.org/W3186546663","https://openalex.org/W4229666556","https://openalex.org/W4308755411","https://openalex.org/W4309210956","https://openalex.org/W6636438496","https://openalex.org/W6649857515","https://openalex.org/W6753067400","https://openalex.org/W6789826613","https://openalex.org/W6799474351"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2374664672","https://openalex.org/W2176409448","https://openalex.org/W2085612832","https://openalex.org/W4225639054","https://openalex.org/W2143985734","https://openalex.org/W1967434260"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"improvements":[3,128],"to":[4,29,32,35,129,209],"two-stage":[5,46,134,199],"algorithms":[6,135],"for":[7,95,154,234],"estimating":[8],"the":[9,17,36,50,64,67,74,81,84,90,96,102,109,119,130,155,159,162,165,170,174,178,181,211,223,227],"short-time":[10],"Fourier":[11],"transform":[12],"(STFT)":[13],"phase":[14,26,51,53,85,156,191,200],"from":[15,73],"only":[16],"amplitude":[18,75],"by":[19,88,136],"using":[20,76,137,226],"deep":[21],"neural":[22],"networks":[23],"(DNNs).":[24],"The":[25,219],"is":[27,86],"difficult":[28],"reconstruct":[30],"due":[31],"its":[33,196],"sensitivity":[34],"waveform":[37],"shift":[38],"and":[39,59,69,78,145,167,194,206,216],"wrapping":[40],"issue.":[41],"To":[42,122],"mitigate":[43],"these":[44,124],"problems,":[45,125],"approaches":[47],"indirectly":[48],"estimate":[49],"through":[52],"derivatives,":[54],"i.e.,":[55,189],"instantaneous":[56],"frequency":[57],"(IF)":[58],"group":[60],"delay":[61],"(GD).":[62],"In":[63],"first":[65],"stage,":[66,83],"IF":[68],"GD":[70,166],"are":[71],"estimated":[72],"DNNs,":[77],"then":[79],"in":[80,173,198],"second":[82,97,131],"reconstructed":[87],"maintaining":[89],"IF/GD":[91,171],"information.":[92],"Conventional":[93],"methods":[94,233],"stage":[98,132],"do":[99],"not":[100],"consider":[101],"importance":[103],"of":[104,133,161,164,169,180,213],"high-amplitude":[105],"time\u2013frequency":[106],"bins,":[107],"e.g.,":[108,118],"least":[110,147],"squares-based":[111],"method,":[112],"or":[113],"lack":[114],"a":[115,185],"solid":[116],"model,":[117],"average-based":[120],"method.":[121],"address":[123],"we":[126,183],"propose":[127,184],"<italic":[138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">von":[140],"Mises</i>":[141],"distribution-based":[142],"maximum":[143],"likelihood":[144],"weighted":[146],"squares.":[148],"We":[149,203],"also":[150],"provide":[151],"theoretical":[152],"discussions":[153],"reconstruction,":[157],"including":[158],"investigations":[160],"properties":[163],"roles":[168],"information":[172],"inverse":[175],"STFT.":[176],"On":[177],"basis":[179],"analysis,":[182],"new":[186],"phase-based":[187],"feature,":[188],"inter-frequency":[190],"difference":[192],"(IFPD),":[193],"demonstrate":[195],"application":[197],"reconstruction":[201],"algorithms.":[202],"conducted":[204],"subjective":[205],"objective":[207],"experiments":[208],"compare":[210],"performances":[212],"our":[214],"proposed":[215,224],"conventional":[217],"methods.":[218],"results":[220],"confirm":[221],"that":[222],"method":[225],"IFPD":[228],"performs":[229],"better":[230],"than":[231],"other":[232],"all":[235],"metrics.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
