{"id":"https://openalex.org/A5151355299","orcid":null,"observed_orcids":[],"display_name":"Han Jiang","raw_author_names":["Han Jiang","Jiang, Han"],"full_name":"Han Jiang","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/A5151355299","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I149594827","ror":"https://ror.org/05s92vm98","display_name":"Xidian University","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I149594827","ror":"https://ror.org/05s92vm98","display_name":"Xidian University","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","count":1,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","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/T12535","display_name":"Machine Learning and Data Classification","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/T12535","display_name":"Machine Learning and Data Classification","value":7.5e-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/T11689","display_name":"Adversarial Robustness in Machine Learning","value":7.1e-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/T10036","display_name":"Advanced Neural Network Applications","value":1.3e-06,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":"105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","score":0.7409999966621399},{"id":"119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","score":0.46129998564720154},{"id":"124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","score":0.35010001063346863},{"id":"12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","score":0.31369999051094055},{"id":"107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","score":0.2556000053882599}],"counts_by_year":[{"year":2026,"works_count":1,"oa_works_count":1,"cited_by_count":0}],"display_name_alternatives":["Han Jiang","Jiang, Han"],"block_key":"h jiang","works_api_url":"https://api.openalex.org/works?filter=author.id:A5151355299","updated_date":"2026-10-05T12:30:24","created_date":"2026-09-12T00:00:00"}
