{"id":"https://openalex.org/W4240875559","doi":"https://doi.org/10.1145/3480571","title":"2021 6th International Conference on Intelligent Information Processing","display_name":"2021 6th International Conference on Intelligent Information Processing","publication_year":2021,"publication_date":"2021-07-29","ids":{"openalex":"https://openalex.org/W4240875559","doi":"https://doi.org/10.1145/3480571"},"language":"en","primary_location":{"id":"doi:10.1145/3480571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.5710999965667725,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.5710999965667725,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/panel-data","display_name":"Panel data","score":0.8000811338424683},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6893211007118225},{"id":"https://openalex.org/keywords/spillover-effect","display_name":"Spillover effect","score":0.659965455532074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6344972848892212},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.597208559513092},{"id":"https://openalex.org/keywords/econometric-model","display_name":"Econometric model","score":0.5675394535064697},{"id":"https://openalex.org/keywords/threshold-model","display_name":"Threshold model","score":0.5159772038459778},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.49490803480148315},{"id":"https://openalex.org/keywords/spatial-econometrics","display_name":"Spatial econometrics","score":0.4892158508300781},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4862121641635895},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4846782982349396},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4113593101501465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34232568740844727},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18817198276519775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15347793698310852},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1390456259250641},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13471350073814392},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11049211025238037},{"id":"https://openalex.org/keywords/macroeconomics","display_name":"Macroeconomics","score":0.10124319791793823},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09453922510147095}],"concepts":[{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.8000811338424683},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6893211007118225},{"id":"https://openalex.org/C55527203","wikidata":"https://www.wikidata.org/wiki/Q334194","display_name":"Spillover effect","level":2,"score":0.659965455532074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344972848892212},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.597208559513092},{"id":"https://openalex.org/C180075932","wikidata":"https://www.wikidata.org/wiki/Q5333342","display_name":"Econometric model","level":2,"score":0.5675394535064697},{"id":"https://openalex.org/C202632270","wikidata":"https://www.wikidata.org/wiki/Q7798106","display_name":"Threshold model","level":2,"score":0.5159772038459778},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49490803480148315},{"id":"https://openalex.org/C97144632","wikidata":"https://www.wikidata.org/wiki/Q7574062","display_name":"Spatial econometrics","level":2,"score":0.4892158508300781},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4862121641635895},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4846782982349396},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4113593101501465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34232568740844727},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18817198276519775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15347793698310852},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1390456259250641},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13471350073814392},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11049211025238037},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.10124319791793823},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09453922510147095},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3480571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3480571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1769579425","https://openalex.org/W2366682543","https://openalex.org/W3001090113","https://openalex.org/W2084848801","https://openalex.org/W3164508314","https://openalex.org/W2579971579","https://openalex.org/W3210670201","https://openalex.org/W4206287393","https://openalex.org/W3158531395","https://openalex.org/W2753572836"],"abstract_inverted_index":{"This":[0],"paper":[1],"uses":[2],"panel":[3,19],"data":[4,20],"from":[5,10],"30":[6],"provinces":[7],"in":[8],"China":[9],"2013":[11],"to":[12,14],"2019":[13],"construct":[15],"a":[16],"general":[17],"linear":[18],"model,":[21,28],"threshold":[22],"effect":[23],"model":[24],"and":[25,29,35],"spatial":[26,36],"econometric":[27],"empirically":[30],"analyzes":[31],"the":[32],"nonlinear":[33],"characteristics":[34],"spillover":[37],"...":[38]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
