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 Peng Cui sits on this spectrum.
This scientist: 225 publications — 55th percentile
55% 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 Peng Cui sits on this spectrum.
This scientist: 63 D-Index — 81st percentile
81% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Peng Cui is affiliated with Tsinghua University in China and focuses on research within the field of computer science.
Their work spans several specialized subfields including artificial intelligence, computer vision and pattern recognition, information systems, management science and operations research, and statistics and probability.
Key research topics covered by Peng Cui include advanced graph neural networks, domain adaptation and few-shot learning, recommender systems and techniques, topic modeling, complex network analysis techniques, Gaussian processes and Bayesian inference, as well as machine learning and data classification.
Frequent publication venues for Peng Cui's work are:
Peng Cui has collaborated multiple times with several coauthors, including:
Notable recent publications by Peng Cui include:
Peng Cui received the ACM Distinguished Member award in 2020.
Daixin Wang;Peng Cui;Wenwu Zhu
Xiao Wang;Houye Ji;Chuan Shi;Bai Wang
Ziwei Zhang;Peng Cui;Wenwu Zhu
Mingdong Ou;Peng Cui;Jian Pei;Ziwei Zhang
Peng Cui;Xiao Wang;Jian Pei;Wenwu Zhu
Xiao Wang;Peng Cui;Jing Wang;Jian Pei
Deyu Bo;Xiao Wang;Chuan Shi;Meiqi Zhu
Xiao Wang;Meiqi Zhu;Deyu Bo;Peng Cui
Dingyuan Zhu;Ziwei Zhang;Peng Cui;Wenwu Zhu
Meng Jiang;Peng Cui;Rui Liu;Qiang Yang
Daixin Wang;Jianbin Lin;Peng Cui;Quanhui Jia
Daixin Wang;Yuan Qi;Jianbin Lin;Peng Cui
Xingxuan Zhang;Peng Cui;Renzhe Xu;Linjun Zhou
Zheyan Shen;Jiashuo Liu;Yue He;Xingxuan Zhang
Jianxin Ma;Chang Zhou;Hongxia Yang;Peng Cui
Meng Jiang;Peng Cui;Fei Wang;Wenwu Zhu
Ziwei Zhang;Peng Cui;Xiao Wang;Jian Pei
Meng Jiang;Peng Cui;Alex Beutel;Christos Faloutsos
Jianxin Ma;Chang Zhou;Peng Cui;Hongxia Yang
Peng Cui;Fei Wang;Shaowei Liu;Mingdong Ou
Jianxin Ma;Peng Cui;Kun Kuang;Xin Wang
Xiao Wang;Houye Ji;Chuan Shi;Bai Wang
If you think any of the details on this page are incorrect, let us know.
Pursuing a Computer Science degree in the USA opens up a wide range of online learning opportunities and career options. Many students are now considering affordable online colleges to earn their degrees at a lower cost, reducing student debt while maintaining academic quality.
Worried about your academic history? There are several online schools that accept low gpa, making higher education accessible to more learners, regardless of prior grades.
Career pathways are not limited to tech fields. Some students leverage related online programs, like an environmental science degree, to work in areas connecting technology and environmental solutions.
If you’re looking to fast-track your education, consider the online computer science degree options that offer accelerated formats so you can graduate sooner and start your career faster.
Each pathway comes with its own benefits, letting you tailor your education to fit your goals and background.
Weizmann Institute of Science
Kafrelsheikh University
Agriculture and Agriculture-Food Canada
Korea Advanced Institute of Science and Technology
University of California, Davis
Johns Hopkins University
Erasmus University Rotterdam
Humboldt-Universität zu Berlin
Goddard Space Flight Center
Czech University of Life Sciences Prague
New York University
University of Edinburgh
University of Bologna
Huaqiao University
University of Nebraska Medical Center
Colorado State University
