Zhefeng Wang

858 total citations
54 papers, 492 citations indexed

About

Zhefeng Wang is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhefeng Wang has authored 54 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 13 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhefeng Wang's work include Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (7 papers) and Data Mining Algorithms and Applications (5 papers). Zhefeng Wang is often cited by papers focused on Complex Network Analysis Techniques (12 papers), Advanced Graph Neural Networks (7 papers) and Data Mining Algorithms and Applications (5 papers). Zhefeng Wang collaborates with scholars based in China, Canada and United States. Zhefeng Wang's co-authors include Enhong Chen, Lingyang Chu, Jian Pei, Yang Yu, Steven C. H. Hoi, Nicholas Jing Yuan, Jianke Zhu, Yang Li, Zhi Li and Tong Xu and has published in prestigious journals such as The Science of The Total Environment, Langmuir and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhefeng Wang

49 papers receiving 485 citations

Peers

Zhefeng Wang
Comparison fields: 5 of 95
  • Artificial Intelligence 170
  • Computer Vision and Pattern Recognition 115
  • Statistical and Nonlinear Physics 105
  • Aerospace Engineering 56
  • Mechanical Engineering 56
Muhammad Ubale Kiru Malaysia
Hui Han China
Usman M. Gana Nigeria
Punit Rathore Australia
Rajendra Prasath India
Ivelin Stoianov Netherlands
Luís Mendes Portugal
Wang Fang China
Feng Pan China
Kazuyuki Hara Japan
Muhammad Ubale Kiru Malaysia View profile →
Citations per field, relative to Zhefeng Wang
Zhefeng Wang · 1×
Citations per year, relative to Zhefeng Wang
Zhefeng Wang · 1×

Countries citing papers authored by Zhefeng Wang

Since Specialization
Citations

This map shows the geographic impact of Zhefeng Wang'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 Zhefeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhefeng Wang more than expected).

Fields of papers citing papers by Zhefeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhefeng Wang. 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 Zhefeng Wang. The network helps show where Zhefeng Wang may publish in the future.

Co-authorship network of co-authors of Zhefeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhefeng Wang. A scholar is included among the top collaborators of Zhefeng Wang 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 Zhefeng Wang. Zhefeng Wang 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
# Work Indexed citations
1 7
2 0
3 1
4 1
5 11
6 0
7 11
8 0
9 3
10 9
11 2
12 2
13 21
14 25
15 4
16 19
17
Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.
1
18 1
19 2
20
Maximizing the coverage of information propagation in social networks
13

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