{"id":"https://openalex.org/W4321373549","doi":"https://doi.org/10.1017/s0890060422000269","title":"Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge","display_name":"Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321373549","doi":"https://doi.org/10.1017/s0890060422000269"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060422000269","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060422000269","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/696668B485A096282002A34FA46B5531/S0890060422000269a.pdf/div-class-title-graph-models-for-engineering-design-model-encoding-and-fidelity-evaluation-based-on-dataset-and-other-sources-of-knowledge-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/696668B485A096282002A34FA46B5531/S0890060422000269a.pdf/div-class-title-graph-models-for-engineering-design-model-encoding-and-fidelity-evaluation-based-on-dataset-and-other-sources-of-knowledge-div.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031447417","display_name":"\u00c9ric Coatan\u00e9a","orcid":"https://orcid.org/0000-0003-4157-7298"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Eric Coatan\u00e9a","raw_affiliation_strings":["Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0003-4157-7298","affiliations":[{"raw_affiliation_string":"Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007650258","display_name":"Hari P.N. Nagarajan","orcid":"https://orcid.org/0000-0002-9967-2549"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hari Nagarajan","raw_affiliation_strings":["Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090115683","display_name":"Hossein Mokhtarian","orcid":"https://orcid.org/0000-0002-6818-9044"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hossein Mokhtarian","raw_affiliation_strings":["Mathematics and Industrial Engineering (MAGI), Universit\u00e9 de Montr\u00e9al (Polytechnique), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Universit\u00e9 de Montr\u00e9al (Polytechnique), Montreal, Canada","institution_ids":["https://openalex.org/I45683168","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061391892","display_name":"Di Wu","orcid":"https://orcid.org/0000-0001-8697-1817"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086275805","display_name":"Suraj Panicker","orcid":"https://orcid.org/0000-0003-0007-1813"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Suraj Panicker","raw_affiliation_strings":["Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manufacturing Systems Research Group, Faculty of Engineering and Natural Sciences, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083841871","display_name":"Andres Morales\u2010Forero","orcid":"https://orcid.org/0000-0002-9729-7028"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andr\u00e9s Morales-Forero","raw_affiliation_strings":["Mathematics and Industrial Engineering (MAGI), Universit\u00e9 de Montr\u00e9al (Polytechnique), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Universit\u00e9 de Montr\u00e9al (Polytechnique), Montreal, Canada","institution_ids":["https://openalex.org/I45683168","https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030184055","display_name":"Samuel Bassetto","orcid":"https://orcid.org/0000-0002-0648-0653"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel Bassetto","raw_affiliation_strings":["Mathematics and Industrial Engineering (MAGI), Universit\u00e9 de Montr\u00e9al (Polytechnique), Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics and Industrial Engineering (MAGI), Universit\u00e9 de Montr\u00e9al (Polytechnique), Montreal, Canada","institution_ids":["https://openalex.org/I45683168","https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031447417"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":{"value":3255,"currency":"USD","value_usd":3255},"apc_paid":{"value":2441,"currency":"EUR","value_usd":2632},"fwci":1.7205,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87411259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"37","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14306","display_name":"Technology Assessment and Management","score":0.9416000247001648,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.7629382610321045},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.684947669506073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5023655891418457},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4685531556606293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4679590165615082},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43899470567703247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43827754259109497},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4263766407966614},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2252952754497528},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2236248254776001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7629382610321045},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.684947669506073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5023655891418457},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4685531556606293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4679590165615082},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43899470567703247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43827754259109497},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4263766407966614},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2252952754497528},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2236248254776001},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1017/s0890060422000269","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060422000269","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/696668B485A096282002A34FA46B5531/S0890060422000269a.pdf/div-class-title-graph-models-for-engineering-design-model-encoding-and-fidelity-evaluation-based-on-dataset-and-other-sources-of-knowledge-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:publications.polymtl.ca:52494","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/52494/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article de revue"},{"id":"pmh:oai:trepo.tuni.fi:10024/207911","is_oa":true,"landing_page_url":"https://trepo.tuni.fi/handle/10024/207911","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"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":"publishedVersion"}],"best_oa_location":{"id":"doi:10.1017/s0890060422000269","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s0890060422000269","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/696668B485A096282002A34FA46B5531/S0890060422000269a.pdf/div-class-title-graph-models-for-engineering-design-model-encoding-and-fidelity-evaluation-based-on-dataset-and-other-sources-of-knowledge-div.pdf","source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321373549.pdf","grobid_xml":"https://content.openalex.org/works/W4321373549.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W203824594","https://openalex.org/W301275677","https://openalex.org/W564945117","https://openalex.org/W971574169","https://openalex.org/W1528049813","https://openalex.org/W1590051851","https://openalex.org/W1970420012","https://openalex.org/W1971379517","https://openalex.org/W1980874454","https://openalex.org/W1986610445","https://openalex.org/W1989388297","https://openalex.org/W1999182274","https://openalex.org/W1999668761","https://openalex.org/W2003584736","https://openalex.org/W2004514794","https://openalex.org/W2035314812","https://openalex.org/W2035820295","https://openalex.org/W2036770010","https://openalex.org/W2042754429","https://openalex.org/W2043740941","https://openalex.org/W2047715190","https://openalex.org/W2055242640","https://openalex.org/W2067177016","https://openalex.org/W2071128523","https://openalex.org/W2082293106","https://openalex.org/W2087635379","https://openalex.org/W2118490591","https://openalex.org/W2121175589","https://openalex.org/W2122825543","https://openalex.org/W2129269885","https://openalex.org/W2134805717","https://openalex.org/W2250539671","https://openalex.org/W2308405616","https://openalex.org/W2335487254","https://openalex.org/W2494591702","https://openalex.org/W2574134800","https://openalex.org/W2579555219","https://openalex.org/W2580665588","https://openalex.org/W2617318303","https://openalex.org/W2756659234","https://openalex.org/W2769956797","https://openalex.org/W2795329138","https://openalex.org/W2966366072","https://openalex.org/W3103154346","https://openalex.org/W3119784999","https://openalex.org/W3165741182","https://openalex.org/W4200413890","https://openalex.org/W4210255781","https://openalex.org/W4210968171","https://openalex.org/W4211055445","https://openalex.org/W4214518794","https://openalex.org/W4256540590","https://openalex.org/W4293090411","https://openalex.org/W4302423442","https://openalex.org/W6659660782","https://openalex.org/W6673482784","https://openalex.org/W6677461142","https://openalex.org/W6732588471","https://openalex.org/W6739014998","https://openalex.org/W6805036699","https://openalex.org/W6807675148","https://openalex.org/W6807677820","https://openalex.org/W6842867812"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W4248383205","https://openalex.org/W1919390113","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2231829109","https://openalex.org/W2789577489"],"abstract_inverted_index":{"Abstract":[0],"Automatically":[1],"extracting":[2],"knowledge":[3,26,59,133],"from":[4,68,123],"small":[5],"datasets":[6,124],"with":[7,131,140,213],"a":[8,13,52,96,101,181,190,214],"valid":[9],"causal":[10],"ordering":[11],"is":[12,27,87],"challenge":[14],"for":[15,31,194,202,228],"current":[16],"state-of-the-art":[17],"methods":[18],"in":[19,61,100],"machine":[20,53],"learning.":[21],"Extracting":[22],"other":[23],"type":[24],"of":[25,64,95,106,110,121,143,148,180,189,200],"important":[28],"but":[29],"challenging":[30],"multiple":[32],"engineering":[33,91],"fields":[34],"where":[35],"data":[36,69,196],"are":[37,113,158],"scarce":[38],"and":[39,75,125,136,152,170,224],"difficult":[40],"to":[41,46,71,177],"collect.":[42],"This":[43,206],"research":[44,175,207],"aims":[45],"address":[47],"this":[48],"problem":[49],"by":[50,115,185],"presenting":[51,186],"learning-based":[54],"modeling":[55,192,234],"framework":[56],"leveraging":[57],"the":[58,65,80,104,128,141,144,163,171,178,187,203,230],"available":[60,172],"fundamental":[62],"units":[63],"variables":[66,122,142],"recorded":[67],"samples,":[70],"develop":[72],"parsimonious,":[73],"explainable,":[74],"graph-based":[76],"simulation":[77,153],"models":[78,112],"during":[79],"early":[81,221],"design":[82,92,222],"stages.":[83],"The":[84,146,160,174],"developed":[85],"approach":[86,193],"exemplified":[88],"using":[89,117,227],"an":[90,118],"case":[93],"study":[94,161],"spherical":[97],"body":[98],"moving":[99],"fluid.":[102],"For":[103],"system":[105],"interest,":[107],"two":[108],"types":[109],"intricated":[111],"generated":[114],"(1)":[116],"automated":[119,129],"selection":[120],"(2)":[126],"combining":[127],"extraction":[130],"supplementary":[132],"about":[134],"functions":[135],"dimensional":[137,231],"homogeneity":[138],"associated":[139],"system.":[145],"effect":[147],"design,":[149],"data,":[150],"model,":[151],"specifications":[154],"on":[155,216],"model":[156,211,217],"fidelity":[157,166,182,218],"investigated.":[159],"discusses":[162],"interrelationships":[164],"between":[165],"levels,":[167],"variables,":[168],"functions,":[169],"knowledge.":[173],"contributes":[176],"development":[179],"measurement":[183],"theory":[184],"premises":[188],"standardized,":[191],"transforming":[195],"into":[197],"measurable":[198],"level":[199],"fidelities":[201],"produced":[204],"models.":[205],"shows":[208],"that":[209],"structured":[210],"building":[212],"focus":[215],"can":[219],"support":[220],"reasoning":[223],"decision":[225],"making":[226],"example":[229],"analysis":[232],"conceptual":[233],"(DACM)":[235],"framework.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
