{"id":"https://openalex.org/W4220947263","doi":"https://doi.org/10.1117/12.2623554","title":"Automatic metadata information extraction from scientific literature using deep neural networks","display_name":"Automatic metadata information extraction from scientific literature using deep neural networks","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4220947263","doi":"https://doi.org/10.1117/12.2623554"},"language":"en","primary_location":{"id":"doi:10.1117/12.2623554","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-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/A5109217666","display_name":"Huichen Yang","orcid":"https://orcid.org/0009-0003-8344-9566"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huichen Yang","raw_affiliation_strings":["Kansas State Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Kansas State Univ. (United States)","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016291944","display_name":"William Hsu","orcid":"https://orcid.org/0000-0002-5168-070X"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Hsu","raw_affiliation_strings":["Kansas State Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Kansas State Univ. (United States)","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109217666"],"corresponding_institution_ids":["https://openalex.org/I189590672"],"apc_list":null,"apc_paid":null,"fwci":0.5033,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61820012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9973000288009644,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.8637945652008057},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.8480135202407837},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7224664092063904},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5402469635009766},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5352324843406677},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5239349007606506},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5232792496681213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077286958694458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49730947613716125},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4613172709941864},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4306163489818573},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4222531318664551},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4118025302886963},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41049203276634216},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15576273202896118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8637945652008057},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.8480135202407837},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7224664092063904},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5402469635009766},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5352324843406677},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5239349007606506},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5232792496681213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077286958694458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49730947613716125},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4613172709941864},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4306163489818573},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4222531318664551},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4118025302886963},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41049203276634216},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15576273202896118},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2623554","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W58456790","https://openalex.org/W639708223","https://openalex.org/W791527587","https://openalex.org/W1686810756","https://openalex.org/W1975953105","https://openalex.org/W2022351003","https://openalex.org/W2061598441","https://openalex.org/W2064675550","https://openalex.org/W2127141656","https://openalex.org/W2133713322","https://openalex.org/W2194187530","https://openalex.org/W2704256938","https://openalex.org/W2766362701","https://openalex.org/W2803318469","https://openalex.org/W2961421843","https://openalex.org/W2970042171","https://openalex.org/W2989445916","https://openalex.org/W2989676862","https://openalex.org/W3084733670","https://openalex.org/W3163476226","https://openalex.org/W4234552385","https://openalex.org/W4293584584","https://openalex.org/W4301409532","https://openalex.org/W6602403377","https://openalex.org/W6635969143","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6675330935","https://openalex.org/W6687483927","https://openalex.org/W6735463952","https://openalex.org/W6750227808","https://openalex.org/W6763676353","https://openalex.org/W6764024669","https://openalex.org/W6765751820","https://openalex.org/W6782645814"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2095118173","https://openalex.org/W2382021449","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2768810474","https://openalex.org/W599624254"],"abstract_inverted_index":{"We":[0,121],"present":[1],"a":[2,14,124],"novel":[3,125],"computer":[4],"vision-based":[5],"deep":[6],"learning":[7],"approach":[8],"for":[9,75,107,118,132],"metadata":[10,135],"extraction":[11,25,50,137],"as":[12],"both":[13],"central":[15],"component":[16],"of":[17,35,48,56,82,128,143,150,162],"and":[18,51,77,158],"an":[19,70],"ancillary":[20],"aid":[21],"to":[22,138],"structured":[23],"information":[24,136],"from":[26,89],"scientific":[27,36,62,83,108,133],"literature":[28,63,134],"which":[29],"has":[30],"various":[31,58],"formats.":[32],"The":[33,93,147],"number":[34],"publications":[37],"is":[38],"growing":[39],"rapidly,":[40],"but":[41],"existing":[42],"methods":[43],"cannot":[44],"combine":[45],"the":[46,57,79,90,140,151,154,159,163],"techniques":[47,99],"layout":[49,110],"text":[52,88,119,155],"recognition":[53],"efficiently":[54],"because":[55],"formats":[59],"used":[60],"by":[61],"publishers.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"introduce":[69],"end-to-end":[71],"trainable":[72],"neural":[73],"network":[74,152],"segmenting":[76],"labeling":[78],"main":[80,129],"regions":[81],"documents,":[84],"while":[85],"simultaneously":[86],"recognizing":[87],"detected":[91],"regions.":[92,165],"proposed":[94],"framework":[95],"combines":[96],"object":[97],"detection":[98,111],"based":[100],"on":[101],"Recurrent":[102,114],"Convolutional":[103,113],"Neural":[104,115],"Network":[105,116],"(RCNN)":[106],"document":[109],"with":[112],"(CRNN)":[117],"recognition.":[120],"also":[122],"contribute":[123],"data":[126,145],"set":[127],"region":[130],"annotations":[131],"complement":[139],"limited":[141],"availability":[142],"high-quality":[144],"set.":[146],"final":[148],"outputs":[149],"are":[153],"content":[156],"(payload)":[157],"corresponding":[160],"labels":[161],"major":[164],"Our":[166],"results":[167],"show":[168],"that":[169],"our":[170],"model":[171],"outperforms":[172],"state-of-the-field":[173],"baselines.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}