{"id":"https://openalex.org/A5111028333","orcid":null,"observed_orcids":[],"display_name":"Duojun Huang","raw_author_names":["Duojun Huang","Huang, Duojun"],"full_name":"Huang, Duojun","works_count":8,"cited_by_count":88,"summary_stats":{"2yr_mean_citedness":7.571428571428571,"h_index":4,"i10_index":2},"ids":{"openalex":"https://openalex.org/A5111028333","orcid":null,"observed_orcids":[]},"affiliations":[{"institution":{"id":"https://openalex.org/I157773358","ror":"https://ror.org/0064kty71","display_name":"Sun Yat-sen University","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},"years":[2024,2023]},{"institution":{"id":"https://openalex.org/I2250653659","ror":"https://ror.org/00hhjss72","display_name":"Tencent (China)","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},"years":[2026]}],"last_known_institutions":[{"id":"https://openalex.org/I2250653659","ror":"https://ror.org/00hhjss72","display_name":"Tencent (China)","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","count":5,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","count":4,"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/T10028","display_name":"Topic Modeling","count":3,"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/T10052","display_name":"Medical Image Segmentation Techniques","count":2,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","count":2,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"topic_share":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","value":3.52e-05,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","value":3.12e-05,"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/T12072","display_name":"Machine Learning and Algorithms","value":2.36e-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/T10552","display_name":"Colorectal Cancer Screening and Detection","value":9.1e-06,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","value":8.3e-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"}}],"x_concepts":[{"id":"41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","score":0.8585000038146973},{"id":"157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","score":0.6887000203132629},{"id":"154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","score":0.6176407933235168},{"id":"119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","score":0.5432490110397339},{"id":"124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","score":0.38989999890327454}],"counts_by_year":[{"year":2023,"works_count":1,"oa_works_count":1,"cited_by_count":2},{"year":2024,"works_count":3,"oa_works_count":2,"cited_by_count":27},{"year":2025,"works_count":0,"oa_works_count":0,"cited_by_count":29},{"year":2026,"works_count":4,"oa_works_count":4,"cited_by_count":30}],"display_name_alternatives":["Duojun Huang","Huang, Duojun"],"block_key":"d huang","works_api_url":"https://api.openalex.org/works?filter=author.id:A5111028333","awards_count":0,"awards_api_url":"https://api.openalex.org/awards?filter=investigators.author.id:A5111028333","updated_date":"2026-11-10T14:30:39","created_date":"2023-08-23T00:00:00"}