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 Zhizhong Han sits on this spectrum.
This scientist: 105 publications — 10th percentile
10% 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 Zhizhong Han sits on this spectrum.
This scientist: 35 D-Index — 20th percentile
20% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Zhizhong Han is affiliated with Wayne State University in the United States and has contributed extensively to several areas within computer science and engineering, particularly focusing on 3D shape modeling and analysis, computer graphics, and computer vision. Their research spans diverse topics such as advanced vision and imaging, image processing and 3D reconstruction, advanced numerical analysis techniques, and medical image segmentation techniques.
The scientist's work is distributed across prominent publication venues, including:
Zhizhong Han's research output includes a strong presence in computational mechanics, computer vision and pattern recognition, computer graphics and computer-aided design, geology, and artificial intelligence. These subfields indicate a multidisciplinary approach to modeling and reconstructing 3D data and advanced analytical techniques.
Notable recent papers authored by Zhizhong Han include:
Frequent coauthors collaborating with Zhizhong Han reflect a network of research relationships contributing to the advancement of 3D shape and image processing fields. These include:
Xinhai Liu;Zhizhong Han;Yu-Shen Liu;Matthias Zwicker
Peng Xiang;Xin Wen;Yu-Shen Liu;Yan-Pei Cao
Xin Wen;Tianyang Li;Zhizhong Han;Yu-Shen Liu
Zhizhong Han;Mingyang Shang;Zhenbao Liu;Chi-Man Vong
Yue Jiang;Dantong Ji;Zhizhong Han;Matthias Zwicker
Xin Wen;Peng Xiang;Zhizhong Han;Yan-Pei Cao
Zhizhong Han;Honglei Lu;Zhenbao Liu;Chi-Man Vong
Zhizhong Han;Xiyang Wang;Yu-Shen Liu;Matthias Zwicker
Zhizhong Han;Mingyang Shang;Yu-Shen Liu;Matthias Zwicker
Xin Wen;Zhizhong Han;Yan-Pei Cao;Pengfei Wan
Unknown
Unknown
Unknown
Xinhai Liu;Zhizhong Han;Xin Wen;Yu-Shen Liu
Unknown
Xinhai Liu;Xinchen Liu;Zhizhong Han;Yu-Shen Liu
Unknown
Zhizhong Han;Mingyang Shang;Xiyang Wang;Yu-Shen Liu
Zhizhong Han;Zhenbao Liu;Chi-Man Vong;Yu-Shen Liu
Zhizhong Han;Zhenbao Liu;Junwei Han;Chi-Man Vong
Zhizhong Han;Zhizhong Han;Xiyang Wang;Chi Man Vong;Yu-Shen Liu
Zhizhong Han;Zhenbao Liu;Junwei Han;Chi-Man Vong
Tao Hu;Zhizhong Han;Abhinav Shrivastava;Matthias Zwicker
Zhizhong Han;Chao Chen;Yu-Shen Liu;Matthias Zwicker
Baorui Ma;Zhizhong Han;Yu-Shen Liu;Matthias Zwicker
If you think any of the details on this page are incorrect, let us know.
Exploring online options for advancing your computer science career can be both flexible and affordable. If you’re evaluating your next academic step, it’s important to consider which are the best degree to get based on your career goals in tech and the job market’s current needs.
For those seeking to upskill quickly, several short masters programs offer targeted learning—ideal if you want direct entry into specialized roles or management positions. If you are aiming for the highest academic level with financial efficiency in mind, explore the most affordable doctoral programs available through online platforms.
Educators or professionals in leadership may also opt for accelerated doctoral degrees, such as 2 year ed d programs online. These fast-track tracks are designed to get you advanced qualifications quicker, helping you open new career pathways in academia, research, or administration.
University of North Carolina at Chapel Hill
University College London
University of Cambridge
University of Alaska Fairbanks
University of California, Los Angeles
Ames Research Center
University of Barcelona
University of Toronto
Huaqiao University
Korea Institute of Science and Technology
University of Sydney
Heinrich Heine University Düsseldorf
Stockholm University
National Autonomous University of Mexico
Natural History Museum
Leibniz Institute for the Analysis of Biodiversity Change
