{"id":"https://openalex.org/W3202435087","doi":"https://doi.org/10.3390/jimaging7100198","title":"Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap","display_name":"Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3202435087","doi":"https://doi.org/10.3390/jimaging7100198","mag":"3202435087","pmid":"https://pubmed.ncbi.nlm.nih.gov/34677284"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging7100198","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7100198","pdf_url":"https://www.mdpi.com/2313-433X/7/10/198/pdf?version=1632913365","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/7/10/198/pdf?version=1632913365","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019216303","display_name":"Mattia Litrico","orcid":"https://orcid.org/0000-0002-4914-174X"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Litrico","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, 95125 Catania, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4914-174X","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, 95125 Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Catania, 95125 Catania, Italy"],"raw_orcid":"https://orcid.org/0000-0001-6127-2470","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Catania, 95125 Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054437456","display_name":"Sotirios A. Tsaftaris","orcid":"https://orcid.org/0000-0002-8795-9294"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sotirios A. Tsaftaris","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh EH9 3FG, UK"],"raw_orcid":"https://orcid.org/0000-0002-8795-9294","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh EH9 3FG, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030914810","display_name":"Mario Valerio Giuffrida","orcid":"https://orcid.org/0000-0002-5232-677X"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mario Valerio Giuffrida","raw_affiliation_strings":["School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK"],"raw_orcid":"https://orcid.org/0000-0002-5232-677X","affiliations":[{"raw_affiliation_string":"School of Computing, Edinburgh Napier University, Edinburgh EH10 5DT, UK","institution_ids":["https://openalex.org/I251738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030914810"],"corresponding_institution_ids":["https://openalex.org/I251738"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.5448,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72632922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":"10","first_page":"198","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9610000252723694,"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/overfitting","display_name":"Overfitting","score":0.8373868465423584},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.712300181388855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122954726219177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5954518914222717},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5502606630325317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5337316393852234},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.523549497127533},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46444302797317505},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.44688883423805237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4276226758956909},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.412354052066803},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22971269488334656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21612799167633057},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21051862835884094}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8373868465423584},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.712300181388855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122954726219177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5954518914222717},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5502606630325317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5337316393852234},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.523549497127533},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46444302797317505},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.44688883423805237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4276226758956909},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.412354052066803},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22971269488334656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21612799167633057},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21051862835884094},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.3390/jimaging7100198","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7100198","pdf_url":"https://www.mdpi.com/2313-433X/7/10/198/pdf?version=1632913365","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:34677284","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34677284","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:245df1d016ac470096de97a433e6dba6","is_oa":true,"landing_page_url":"https://doaj.org/article/245df1d016ac470096de97a433e6dba6","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":"Journal of Imaging, Vol 7, Iss 10, p 198 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7439495","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8541592","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:napier-surface.worktribe.com:2820679","is_oa":true,"landing_page_url":"https://napier-surface.worktribe.com/2820679/1/Semi-Supervised%20Domain%20Adaptation%20for%20Holistic%20Counting%20under%20Label%20Gap","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8541592","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8541592","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"pmh:oai:repository@napier.ac.uk:2820679","is_oa":true,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/2820679","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/jimaging7100198","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging7100198","pdf_url":"https://www.mdpi.com/2313-433X/7/10/198/pdf?version=1632913365","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G6861133831","display_name":null,"funder_award_id":"N5155","funder_id":"https://openalex.org/F4320320619","funder_display_name":"Edinburgh Napier University"}],"funders":[{"id":"https://openalex.org/F4320320619","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3202435087.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2088929512","https://openalex.org/W2125865219","https://openalex.org/W2128053425","https://openalex.org/W2145983039","https://openalex.org/W2149251234","https://openalex.org/W2194775991","https://openalex.org/W2212660284","https://openalex.org/W2264784471","https://openalex.org/W2278786050","https://openalex.org/W2288989350","https://openalex.org/W2593414223","https://openalex.org/W2593768305","https://openalex.org/W2605135824","https://openalex.org/W2729018917","https://openalex.org/W2739748921","https://openalex.org/W2767179670","https://openalex.org/W2768701195","https://openalex.org/W2779610669","https://openalex.org/W2798414551","https://openalex.org/W2805899143","https://openalex.org/W2806655962","https://openalex.org/W2810469995","https://openalex.org/W2876381398","https://openalex.org/W2885722640","https://openalex.org/W2886319627","https://openalex.org/W2889945482","https://openalex.org/W2890663137","https://openalex.org/W2948069880","https://openalex.org/W2948429981","https://openalex.org/W2962886042","https://openalex.org/W2963709863","https://openalex.org/W2964109570","https://openalex.org/W2964288524","https://openalex.org/W2965954137","https://openalex.org/W2970971581","https://openalex.org/W2976947428","https://openalex.org/W2986070626","https://openalex.org/W3003384866","https://openalex.org/W3033418451","https://openalex.org/W3033734591","https://openalex.org/W3081886322","https://openalex.org/W3094277917","https://openalex.org/W3095723723","https://openalex.org/W3117739277","https://openalex.org/W3208678520","https://openalex.org/W6681368121","https://openalex.org/W6688325169","https://openalex.org/W6757598368","https://openalex.org/W6773490324","https://openalex.org/W6774861611","https://openalex.org/W6803393823"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204"],"abstract_inverted_index":{".":[0],"The":[1],"current":[2],"literature":[3],"generally":[4],"lacks":[5],"specific":[6],"domain":[7,133],"adaptation":[8],"approaches":[9],"for":[10,156],"this":[11],"task,":[12],"as":[13],"most":[14,27],"of":[15,24,28,106,127,175,204,214],"them":[16],"mostly":[17],"focus":[18],"on":[19,140],"classification.":[20],"In":[21],"the":[22,29,53,107,112,119,131,150,153,157,161,173,176,182,189,202,217],"context":[23],"holistic":[25],"regression,":[26],"real-world":[30],"datasets":[31],"not":[32,50],"only":[33],"exhibit":[34],"a":[35,42,70,75,99,195,207],"covariate":[36,65,84],"(or":[37],"domain)":[38],"shift,":[39,85],"but":[40],"also":[41],"label":[43,67,87,92,121],"gap-the":[44],"target":[45,132],"dataset":[46,55],"may":[47],"contain":[48],"labels":[49],"included":[51],"in":[52,69,172,206],"source":[54],"(and":[56],"vice":[57],"versa).":[58],"We":[59],"propose":[60,98],"an":[61],"approach":[62,147,180],"tackling":[63],"both":[64],"and":[66,86,111,209,226],"gap":[68,88],"unified":[71],"training":[72],"framework.":[73],"Specifically,":[74,155],"Generative":[76],"Adversarial":[77],"Network":[78],"(GAN)":[79],"is":[80,89,166,219],"used":[81],"to":[82,170,186,223,229],"reduce":[83],"mitigated":[90],"via":[91],"normalisation.":[93],"To":[94,117],"avoid":[95],"overfitting,":[96],"we":[97,193,210],"stopping":[100],"criterion":[101],"that":[102,145],"simultaneously":[103],"takes":[104],"advantage":[105],"Maximum":[108],"Mean":[109],"Discrepancy":[110],"GAN":[113],"Global":[114],"Optimality":[115],"condition.":[116],"restore":[118],"original":[120],"range-that":[122],"was":[123],"previously":[124],"normalised-a":[125],"handful":[126],"annotated":[128],"images":[129],"from":[130,168,184,197,221,227],"are":[134],"used.":[135],"Our":[136],"experimental":[137,191],"results,":[138],"run":[139],"3":[141],"different":[142],"datasets,":[143],"demonstrate":[144],"our":[146,179],"drastically":[148],"outperforms":[149],"state-of-the-art":[151],"across":[152],"board.":[154],"cell":[158],"counting":[159,201],"problem,":[160],"mean":[162],"squared":[163],"error":[164],"(MSE)":[165],"reduced":[167,220],"759":[169],"5.62;":[171],"case":[174],"pedestrian":[177],"dataset,":[178],"lowered":[181],"MSE":[183,218],"131":[185],"1.47.":[187],"For":[188],"last":[190],"setup,":[192],"borrowed":[194],"task":[196],"plant":[198],"biology,":[199],"i.e.,":[200],"number":[203],"leaves":[205],"plant,":[208],"ran":[211],"two":[212],"series":[213],"experiments,":[215],"showing":[216],"2.36":[222],"0.88":[224],"(intra-species),":[225],"1.48":[228],"0.6":[230],"(inter-species).":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}