{"doi":"10.1109/imsna.2013.6743253","title":"Review of structural equation modeling (SEM) applications","abstract":null,"journal":"2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA)","year":2013,"id":616635,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":774660,"name":"Xuebo Chen","orcid":"0000-0002-0069-8555","position":1,"is_corresponding":false},{"id":1589905,"name":"Qiubai Sun","orcid":null,"position":2,"is_corresponding":false},{"id":832049,"name":"Ying Zhang","orcid":"0000-0003-2194-7116","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Review of structural equation modeling (SEM) applications","abstract":"Structural Equation Modeling (SEM) is a statistical method that states the relation between observation variables and latent variables or among the latent variables by linear equation system. Currently, SEM is being used widely in many fields. The article presents the applications of SEM in recent years so as to give help for people to study and use it further.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W2138020080","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.25599276,"influential_citations":0,"citation_trend":[{"year":2022,"count":1},{"year":2024,"count":1}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/6732241/6742799/06743253.pdf?arnumber=6743253","host_type":"publisher"},{"url":"https://doi.org/10.1109/imsna.2013.6743253","host_type":""}],"fields_of_study":["Technology Adoption and User Behaviour","Advanced Statistical Modeling Techniques","Cognitive Science and Mapping"],"mesh_terms":[],"keywords":["Structural equation modeling","Latent variable","Computer science","Relation (database)","Applied mathematics","Mathematics","Artificial intelligence","Data mining","Machine learning"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-02T23:26:01.880064Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}