{"id":"https://openalex.org/W2033130267","doi":"https://doi.org/10.1109/dbta.2010.5659057","title":"Comparative Study of Input-Output Efficiency on College Scientific Research","display_name":"Comparative Study of Input-Output Efficiency on College Scientific Research","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2033130267","doi":"https://doi.org/10.1109/dbta.2010.5659057","mag":"2033130267"},"language":"en","primary_location":{"id":"doi:10.1109/dbta.2010.5659057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013220122","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0001-8599-4865"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Inf. Sch. Beijing, Wuzi Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inf. Sch. Beijing, Wuzi Univ., Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091723795","display_name":"Guicheng Shen","orcid":"https://orcid.org/0000-0002-8150-2744"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guicheng Shen","raw_affiliation_strings":["Inf. Sch. Beijing, Wuzi Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inf. Sch. Beijing, Wuzi Univ., Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103082861","display_name":"Yan Fang","orcid":"https://orcid.org/0000-0003-0600-5497"},"institutions":[{"id":"https://openalex.org/I176432857","display_name":"Beijing Wuzi University","ror":"https://ror.org/00bd1d647","country_code":"CN","type":"education","lineage":["https://openalex.org/I176432857"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Yan","raw_affiliation_strings":["Inf. Sch. Beijing, Wuzi Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inf. Sch. Beijing, Wuzi Univ., Beijing, China","institution_ids":["https://openalex.org/I176432857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I176432857"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16994106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14185","display_name":"Research, Science, and Academia","score":0.22139999270439148,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14185","display_name":"Research, Science, and Academia","score":0.22139999270439148,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.21860000491142273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5782762765884399},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5642171502113342},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5506089925765991},{"id":"https://openalex.org/keywords/input/output","display_name":"Input/output","score":0.5361255407333374},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5142523646354675},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45658108592033386},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3255748152732849},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32429853081703186},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2360868752002716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13907462358474731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5782762765884399},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5642171502113342},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5506089925765991},{"id":"https://openalex.org/C196697905","wikidata":"https://www.wikidata.org/wiki/Q2042052","display_name":"Input/output","level":2,"score":0.5361255407333374},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5142523646354675},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45658108592033386},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3255748152732849},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32429853081703186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2360868752002716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13907462358474731},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dbta.2010.5659057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5659057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2378028609"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4380081032"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"studying":[4],"input-output":[5,29,67,88],"efficiency":[6],"of":[7,18,31],"scientific":[8,27],"research":[9,28],"in":[10,33],"colleges":[11,32],"and":[12,38,52,83,85],"universities":[13],"by":[14],"using":[15],"the":[16,42,78],"method":[17],"principal":[19],"component":[20],"analysis.":[21],"A":[22],"mathematical":[23],"model":[24],"including":[25],"multiple":[26],"indicators":[30],"31":[34],"provinces,":[35],"autonomous":[36],"regions":[37],"municipalities":[39],"directly":[40],"under":[41],"central":[43],"government":[44],"are":[45],"built":[46],"to":[47,62,76,86],"make":[48],"further":[49],"quantitative":[50],"analysis":[51],"comparative":[53],"studies.":[54],"As":[55],"a":[56],"result,":[57],"higher":[58,63,66],"input":[59,82],"doesn't":[60],"lead":[61],"output":[64,84],"or":[65],"efficiency.":[68,89],"Effective":[69],"operational":[70],"mechanisms":[71],"should":[72],"be":[73],"set":[74],"up":[75],"ensure":[77],"close":[79],"correlation":[80],"between":[81],"improve":[87]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}