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 Yongxin Tong sits on this spectrum.
This scientist: 120 publications — 15th percentile
15% 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 Yongxin Tong sits on this spectrum.
This scientist: 42 D-Index — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Yongxin Tong is affiliated with Beihang University in China and has a significant profile in computer science research. Their work spans across various subfields including artificial intelligence, signal processing, building and construction, automotive engineering, and information systems.
Their main research interests include privacy-preserving technologies in data, cryptography and data security, data management and algorithms, transportation and mobility innovations, advanced graph neural networks, smart parking systems research, and data quality and management.
Recent publications by Yongxin Tong encompass topics related to federated learning, combinatorial optimization, and reinforcement learning. Notable papers include:
Their frequent coauthors include Zimu Zhou, Yuxiang Zeng, Lei Chen, Yexuan Shi, and Yi Xu. Collaborations with these researchers indicate sustained joint efforts in the areas of data management and intelligent systems.
Publishing venues for Yongxin Tong's research feature a diverse range of high-impact journals and conferences. These include:
Yongxin Tong has contributed extensively to the field of computer science, with over a hundred publications emphasizing artificial intelligence. Their work intersects theoretical developments and practical applications, particularly in privacy and security aspects of data, as well as advanced algorithms for transportation and mobility.
Qiang Yang;Yang Liu;Tianjian Chen;Yongxin Tong
Yongxin Tong;Jieying She;Bolin Ding;Libin Wang
Yongxin Tong;Yuqiang Chen;Zimu Zhou;Lei Chen
Yongxin Tong;Zimu Zhou;Yuxiang Zeng;Lei Chen
Tianshu Song;Yongxin Tong;Shuyue Wei
Yongxin Tong;Jieying She;Bolin Ding;Lei Chen
Yongxin Tong;Lei Chen;Yurong Cheng;Philip S. Yu
Yongxin Tong;Yuxiang Zeng;Zimu Zhou;Lei Chen
Caleb Chen Cao;Jieying She;Yongxin Tong;Lei Chen
Zhao Chen;Rui Fu;Ziyuan Zhao;Zheng Liu
Yongxin Tong;Libin Wang;Zimu Zhou;Bolin Ding
Yongxin Tong;Lei Chen;Zimu Zhou;Hosagrahar Visvesvaraya Jagadish
Tianshu Song;Yongxin Tong;Libin Wang;Jieying She
Yongxin Tong;Lei Chen;Cyrus Shahabi
Yansheng Wang;Yongxin Tong;Dingyuan Shi
Yongxin Tong;Libin Wang;Zimu Zhou;Lei Chen
Xiaofei Zhang;Lei Chen;Yongxin Tong;Min Wang
Jieying She;Yongxin Tong;Lei Chen
Jieying She;Yongxin Tong;Lei Chen;Caleb Chen Cao
Yongxin Tong;Lei Chen;Bolin Ding
If you think any of the details on this page are incorrect, let us know.
Exploring alternative or complementary pathways to a traditional Computer Science degree can be a smart career move. For example, a physics degree online provides a strong analytical foundation, opening doors in technology and research fields.
Data science is another booming area. Many students want to know: what is the cheapest data science course in the us? Affordable online data science programs make it easier to gain in-demand skills without high tuition costs.
Engineering disciplines also offer lucrative job prospects. Earning an online bachelor’s in electrical engineering can lead to specialized tech roles, often overlapping with computer science careers.
For those seeking quick career advancement, there are certifications that pay well. Many of these certifications can enhance your resume or help you transition quickly to high-paying tech positions.
Whether you choose a full degree or a targeted certification, a range of flexible online options can help launch or boost your tech career in the USA.
Karlsruhe Institute of Technology
Cornell University
University of Sussex
Otto-von-Guericke University Magdeburg
Michigan State University
University of Nebraska–Lincoln
Indian Institute of Technology Guwahati
University of Gothenburg
Technion – Israel Institute of Technology
Monash University
Max Planck Institute for Intelligent Systems
Google (Canada)
Genentech
Dartmouth College
University of Oslo
McMaster University