{"id":"https://openalex.org/A5151370879","orcid":null,"observed_orcids":[],"display_name":"Xi Zeng","raw_author_names":["Xi Zeng","Zeng, Xi"],"full_name":"Xi Zeng","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/A5151370879","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I111088046","ror":"https://ror.org/05qwgg493","display_name":"Boston University","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I111088046","ror":"https://ror.org/05qwgg493","display_name":"Boston University","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","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/T12814","display_name":"Gaussian Processes and Bayesian Inference","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"}}],"topic_share":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","value":1.64e-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/T11901","display_name":"Bayesian Methods and Mixture Models","value":1.26e-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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","value":5.8e-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"}}],"x_concepts":[{"id":"11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","score":0.46860000491142273},{"id":"107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","score":0.4580000042915344},{"id":"106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","score":0.34869998693466187},{"id":"126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","score":0.27630001306533813},{"id":"106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","score":0.2612000107765198}],"counts_by_year":[{"year":2026,"works_count":1,"oa_works_count":1,"cited_by_count":0}],"display_name_alternatives":["Xi Zeng","Zeng, Xi"],"block_key":"x zeng","works_api_url":"https://api.openalex.org/works?filter=author.id:A5151370879","updated_date":"2026-10-05T12:30:24","created_date":"2026-09-12T00:00:00"}
