Zhenyu Wang

701 total citations
51 papers, 364 citations indexed

About

Zhenyu Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Zhenyu Wang has authored 51 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 15 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Zhenyu Wang's work include Topic Modeling (14 papers), Speech and dialogue systems (8 papers) and Software Engineering Research (6 papers). Zhenyu Wang is often cited by papers focused on Topic Modeling (14 papers), Speech and dialogue systems (8 papers) and Software Engineering Research (6 papers). Zhenyu Wang collaborates with scholars based in China, United States and Taiwan. Zhenyu Wang's co-authors include Qian Tao, Yangyang Zhao, Yuxiang Feng, Rui Zhang, Zhenhua Huang, Shyue-Kung Lu, Yirong Chen, Jiann-Liang Chen, Xiaofen Xing and Nazim H. Madhavji and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Zhenyu Wang

44 papers receiving 340 citations

Peers

Zhenyu Wang
Comparison fields: 5 of 65
  • Artificial Intelligence 229
  • Information Systems 94
  • Computer Networks and Communications 54
  • Computer Vision and Pattern Recognition 44
  • Electrical and Electronic Engineering 37
Replace Jonathan Lenchner with:
Jonathan Lenchner United States
Varun Chandrasekaran United States
Quentin Anthony United States
Dmitry I. Belov Netherlands
Hassan Ouahmane Morocco
Vipin Tiwari India
Börje F. Karlsson China
Saumay Pushp South Korea
Elliott Wen New Zealand
Jonathan Lenchner United States View profile →
Citations per field, relative to Zhenyu Wang
Zhenyu Wang · 1×
Citations per year, relative to Zhenyu Wang
Zhenyu Wang · 1×

Countries citing papers authored by Zhenyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Wang. A scholar is included among the top collaborators of Zhenyu 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 Zhenyu Wang. Zhenyu 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 1
2 2
3 1
4 28
5 16
6 15
7 4
8 0
9 10
10 6
11 40
12 8
13 5
14 5
15 5
16 3
17 6
18
Refinement-based Software Architecture Design Method
0
19 0
20 1

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