Jun Yan is affiliated with Microsoft in the United States and conducts research primarily in the fields of computer science and medicine. Their work extensively covers artificial intelligence applications in healthcare, with a significant focus on machine learning techniques and biomedical data analysis.
The scientist has contributed to various topics, including:
Jun Yan's research spans several subfields, such as artificial intelligence, information systems, molecular biology, sociology and political science, and computer vision and pattern recognition. Their publication record demonstrates an interdisciplinary approach aligning computational methods with medical and social science applications.
Frequent coauthors collaborating with Jun Yan include Buzhou Tang, Qingcai Chen, Shuai Chen, Simin Li, and Xiaolong Wang, highlighting active partnerships within this research domain.
The scientist has published in a variety of venues, reflecting the diverse application of their research. These venues include:
Recent papers by Jun Yan encompass significant topics in medical AI and computational healthcare analytics:
Jian Tang;Meng Qu;Mingzhe Wang;Ming Zhang
Jun Yan;Ning Liu;Gang Wang;Wen Zhang
Jin Wang;Zhongyuan Wang;Dawei Zhang;Jun Yan
Jun Yan;Benyu Zhang;Ning Liu;Shuicheng Yan
Weizhu Chen;Jun Yan;Benyu Zhang;Zheng Chen
Wensi Xi;Edward A. Fox;Weiguo Fan;Benyu Zhang
Jun Yan;Ning Liu;Benyu Zhang;Shuicheng Yan
Xiaobo Zhou;Fuhai Li;Jun Yan;S.T.C. Wong
Shuicheng Yan;Huan Wang;Yun Fu;Jun Yan
Ning Liu;Benyu Zhang;Jun Yan;Zheng Chen
Ning Liu;Jun Yan;Benyu Zhang;Zheng Chen
Tianyong Hao;Xieling Chen;Guozheng Li;Jun Yan
Xieling Chen;Yonghui Lun;Jun Yan;Tianyong Hao
Jun Yan;Benyu Zhang;Shuicheng Yan;Qiang Yang
Jun Yan;Ning Liu;Lei Ji;Zheng Chen
Xiaohui Wu;Jun Yan;Ning Liu;Shuicheng Yan
Jun Yan;Ning Liu;Lei Ji;Steven J. Hanks
Ning Liu;Benyu Zhang;Jun Yan;Qiang Yang
Jun Yan;Ning Liu;Shuicheng Yan;Qiang Yang
Shuo Yang;Lei Zou;Zhongyuan Wang;Jun Yan
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees can open flexible pathways to rewarding tech careers. If you’re eager to enhance your qualifications quickly, several 3-month certificate programs that pay well provide a rapid entry into thriving tech sectors. These short-term options can boost your resume and help you land in-demand roles faster than traditional degree tracks.
For those seeking advanced study, the fastest masters degree online programs offer accelerated learning schedules, letting you earn a recognized qualification without putting your career on hold. Popular choices include computer science, data analytics, and cybersecurity.
Curious about your future prospects? Knowing which master's degree is most in demand in usa can help you match your studies to growing job opportunities, ensuring your investment pays off with strong employment potential.
If you’re just starting out, earning an associates degree online provides foundational knowledge and can often be completed within two years. This can serve as a stepping stone toward higher education or immediate work in entry-level IT roles.
Southeast University
California Institute of Technology
National Institute of Information and Communications Technology
University of Waterloo
ETH Zurich
Hangzhou Normal University
Dartmouth College
Max Planck Society
University of Melbourne
University of Geneva
Huazhong University of Science and Technology
University of Edinburgh
Deakin University
University of Nevada Reno
University of Liège
University of Michigan–Ann Arbor
