{"id":"https://openalex.org/W4230644660","doi":"https://doi.org/10.1109/iccad.2015.7372650","title":"Effective CAD research in the sea of papers","display_name":"Effective CAD research in the sea of papers","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W4230644660","doi":"https://doi.org/10.1109/iccad.2015.7372650"},"language":"en","primary_location":{"id":"doi:10.1109/iccad.2015.7372650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2015.7372650","pdf_url":null,"source":{"id":"https://openalex.org/S4363608324","display_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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/A5056712638","display_name":"Jinglan Liu","orcid":"https://orcid.org/0000-0001-6211-2890"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinglan Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005730523","display_name":"Da-Cheng Juan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da-Cheng Juan","raw_affiliation_strings":["Carnegie Mellon University, Google Inc., Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Google Inc., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000141831","display_name":"Yiyu Shi","orcid":"https://orcid.org/0000-0002-6788-9823"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyu Shi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1967,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52708165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"422","issue":null,"first_page":"781","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9944000244140625,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553761005401611},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5689746141433716},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.5675705671310425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46567484736442566},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4644484519958496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42245692014694214},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3896324932575226},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09096643328666687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553761005401611},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5689746141433716},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.5675705671310425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46567484736442566},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4644484519958496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42245692014694214},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3896324932575226},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09096643328666687},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccad.2015.7372650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccad.2015.7372650","pdf_url":null,"source":{"id":"https://openalex.org/S4363608324","display_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7900000214576721,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1528177290","https://openalex.org/W1535113837","https://openalex.org/W2087347434","https://openalex.org/W2158018156","https://openalex.org/W2766736793","https://openalex.org/W4239510810","https://openalex.org/W4244354591","https://openalex.org/W6682610290"],"related_works":["https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W2410116073","https://openalex.org/W3044972437","https://openalex.org/W4287707480","https://openalex.org/W2275866607","https://openalex.org/W4380075502"],"abstract_inverted_index":{"In":[0,74],"the":[1,11,114,127,132],"past":[2],"decade,":[3],"there":[4],"has":[5,34],"been":[6],"a":[7,46,81,86,100],"rapid":[8],"growth":[9,23],"in":[10,136],"number":[12],"of":[13,103],"journal,":[14],"conference":[15],"and":[16,105,116,139],"workshop":[17],"publications":[18],"from":[19],"academic":[20],"research.":[21],"The":[22],"seems":[24],"to":[25,40,45,50,69,99],"be":[26],"accelerated":[27],"as":[28,80],"time":[29],"goes":[30],"by.":[31],"Accordingly,":[32],"it":[33,65],"become":[35],"increasingly":[36],"difficult":[37],"for":[38,96],"researchers":[39],"efficiently":[41],"identify":[42],"papers":[43,62,97],"related":[44,98],"given":[47,101],"topic,":[48],"leading":[49],"missing":[51],"important":[52],"references":[53],"or":[54],"even":[55,59],"repetitive":[56],"work.":[57],"Moreover,":[58],"when":[60],"these":[61],"are":[63,109],"found,":[64],"is":[66],"very":[67],"time-consuming":[68],"find":[70],"their":[71],"inherent":[72],"relations.":[73],"this":[75],"paper,":[76],"using":[77],"CAD":[78],"research":[79],"vehicle,":[82],"we":[83],"will":[84],"demonstrate":[85],"novel":[87],"deep":[88],"learning":[89],"based":[90],"framework":[91],"that":[92,126],"can":[93],"automatically":[94],"search":[95],"abstract":[102],"research,":[104],"suggest":[106],"how":[107],"they":[108],"correlated.":[110],"We":[111],"also":[112],"provide":[113],"analysis":[115],"comparison":[117],"among":[118],"several":[119],"classic":[120],"machine-learning":[121],"approaches.":[122],"Experimental":[123],"results":[124],"show":[125],"proposed":[128],"approach":[129],"always":[130],"outperforms":[131],"conventional":[133],"keyword-based":[134],"rankings,":[135],"both":[137],"accuracy":[138],"F1":[140],"scores.":[141]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}