{"id":"https://openalex.org/A5159963537","orcid":null,"observed_orcids":[],"display_name":"Xiaoyu Dong","raw_author_names":["Dong, Xiaoyu","Xiaoyu Dong"],"full_name":"Xiaoyu Dong","works_count":1,"cited_by_count":0,"summary_stats":{"2yr_mean_citedness":0.0,"h_index":0,"i10_index":0},"ids":{"openalex":"https://openalex.org/A5159963537","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I165932596","ror":"https://ror.org/01tgyzw49","display_name":"National University of Singapore","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I165932596","ror":"https://ror.org/01tgyzw49","display_name":"National University of Singapore","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","count":1,"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/T11901","display_name":"Bayesian Methods and Mixture Models","count":1,"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/T13141","display_name":"Statistical Methods and Applications","count":1,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"topic_share":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","value":1.24e-05,"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/T10637","display_name":"Advanced Clustering Algorithms Research","value":6.3e-06,"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/T13141","display_name":"Statistical Methods and Applications","value":3e-06,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"x_concepts":[{"id":"105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","score":0.5845999717712402},{"id":"111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","score":0.48590001463890076},{"id":"11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","score":0.41519999504089355},{"id":"115311070","wikidata":"https://www.wikidata.org/wiki/Q5347255","display_name":"Effective dimension","score":0.2955000102519989},{"id":"106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","score":0.289900004863739}],"counts_by_year":[{"year":2026,"works_count":1,"oa_works_count":1,"cited_by_count":0}],"display_name_alternatives":["Dong, Xiaoyu","Xiaoyu Dong"],"block_key":"x dong","works_api_url":"https://api.openalex.org/works?filter=author.id:A5159963537","updated_date":"2026-10-31T12:29:50","created_date":"2026-10-28T00:00:00"}