Ming Zhang

6.1k citations
126 papers · 3.2k indexed · 2 hit papers · h-index 31
Topics
Advanced Graph Neural Networks (31 papers)Topic Modeling (23 papers)Recommender Systems and Techniques (23 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaRenewable and Sustainable Energy Reviews
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Ming Zhang

118 papers receiving 3.1k citations

Hit Papers

Combating Fake News200820262014202020192008100200300

Peers

Ming Zhang
Comparison fields: 5 of 158
  • Artificial Intelligence 1.7k
  • Information Systems 1.1k
  • Sociology and Political Science 460
  • Statistical and Nonlinear Physics 408
  • Computer Vision and Pattern Recognition 283
Replace Chenliang Li with:
Chenliang Li China
Fred Morstatter United States
Zhoujun Li China
Jian Yang Australia
Athena Vakali Greece
Andrea Esuli Italy
Miles Osborne United Kingdom
Dongwon Lee United States
Yi Chang United States
Ming Zhang relative to Chenliang Li China Chenliang Li's profile →
Citations per field
00.5×1.5×2.2×
Chenliang Li · 1×
Citations per year

Countries citing papers authored by Ming Zhang

Since Specialization
Citations

This map shows the geographic impact of Ming Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhang more than expected).

Fields of papers citing papers by Ming Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Zhang. The network helps show where Ming Zhang may publish in the future.

Co-authorship network of co-authors of Ming Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhang. A scholar is included among the top collaborators of Ming Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Zhang. Ming Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 30
5 16
6 34
7 1
8 30
9 10
10 35
11 45
12 44
13 22
14 46
15 8
16 52
17 37
18 44
19 22
20
Personalized Recommendation Algorithm on Microblogs
3

About Ming Zhang

Ming Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 126 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (31 papers), Topic Modeling (23 papers) and Recommender Systems and Techniques (23 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (1.1k citations) and Statistical and Nonlinear Physics (408 citations). Ming Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wei Ju, Xiao Luo, Qiaozhu Mei, Dong Zhang, Haoyuan Li, Yi Wang, Edward Yi Chang, Feng Qian, Xiaolong Wang and Ming Zhou. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026