The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yue Gao sits on this spectrum.
This scientist: 264 publications — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yue Gao sits on this spectrum.
This scientist: 72 D-Index — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yue Gao is a researcher affiliated with Tsinghua University in China. Their work primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields.
The scientist has contributed extensively to topics such as:
Among Yue Gao's notable recent publications are:
The venues in which Yue Gao frequently publishes include:
Collaborative work is a key aspect of Yue Gao's research activities. Frequent co-authors include:
In addition to journal and conference publications, Yue Gao has published a book titled Hypergraph Computation in 2023 through Springer International Publishing.
Yifan Feng;Haoxuan You;Zizhao Zhang;Rongrong Ji
Yue Gao;Meng Wang;Dacheng Tao;Rongrong Ji
Yifan Feng;Zizhao Zhang;Xibin Zhao;Rongrong Ji
Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen
Chenggang Yan;Biao Gong;Yuxuan Wei;Yue Gao
Sicheng Zhao;Yue Gao;Xiaolei Jiang;Hongxun Yao
Jianwen Jiang;Yuxuan Wei;Yifan Feng;Jingxuan Cao
Yue Gao;Zizhao Zhang;Haojie Lin;Xibin Zhao
Yutong Feng;Yifan Feng;Haoxuan You;Xibin Zhao
Yue Gao;Jinhui Tang;Richang Hong;Shuicheng Yan
Leyi Wei;Minghong Liao;Yue Gao;Rongrong Ji
Rongrong Ji;Yue Gao;Richang Hong;Qiong Liu
Xiaobo Chen;Han Zhang;Yue Gao;Chong Yaw Wee
Guiguang Ding;Yuchen Guo;Jile Zhou;Yue Gao
Luming Zhang;Yue Gao;Yingjie Xia;Ke Lu
Yue Gao;Meng Wang;Zheng-Jun Zha;Qi Tian
J. K. Wu;A. Desai Narasimhalu;B. M. Mehtre;C. P. Lam
Jun Zhang;Yue Gao;Yaozong Gao;Brent C. Munsell
Yue Gao;Meng Wang;Rongrong Ji;Xindong Wu
Shuyi Ji;Yifan Feng;Rongrong Ji;Xibin Zhao
Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji
If you think any of the details on this page are incorrect, let us know.
Exploring further education in computer science offers many flexible options to advance your career. For those seeking an accelerated path, consider the shortest master degree programs available online. These programs allow you to earn a respected credential in less time, helping you enter the workforce or transition roles quickly.
Interested in entering the tech industry without a four-year degree? Earning an associate's degree online can help you build foundational skills and qualify for many entry-level positions. This is an excellent choice for those balancing other commitments or seeking a cost-effective education.
To enhance your career prospects, it’s smart to research the most useful masters degrees in tech and allied fields. These cutting-edge programs are in high demand, opening doors to lucrative roles in AI, data science, and software development.
Additionally, earning key certifications for jobs can boost your résumé and offer specialized expertise that recruiters value. With so many online learning pathways available, you can find an option that fits your goals, schedule, and budget.
Tokyo Institute of Technology
Yokohama National University
Flinders University
Sunnybrook Health Science Centre
University of Waikato
University of Oxford
Queen Mary University of London
Freie Universität Berlin
University of Hawaii at Manoa
Johns Hopkins University
Facebook (United States)
Hamburg University of Technology
The University of Texas Health Science Center at Houston
University of California, Davis
University of North Carolina at Greensboro
Stanford University
