Zhongfu Wu

1.1k citations
30 papers · 752 indexed · h-index 12
Topics
Neural Networks Stability and Synchronization (9 papers)Neural Networks and Applications (8 papers)Distributed and Parallel Computing Systems (4 papers)

In The Last Decade

Zhongfu Wu

27 papers receiving 723 citations

Peers

Zhongfu Wu
Comparison fields: 5 of 65
  • Computer Networks and Communications 534
  • Statistical and Nonlinear Physics 313
  • Artificial Intelligence 311
  • Information Systems 126
  • Electrical and Electronic Engineering 109
Replace Pavel Chebotarev with:
Pavel Chebotarev Russia
Baharan Mirzasoleiman United States
Amitabha Bagchi India
Nisheeth Shrivastava United States
Mark Goldberg United States
Prem Gopalan United States
Alireza Abdollahpouri Iran
Brian Eriksson United States
Xiaofei Zhu China
Venu Satuluri United States
Zhongfu Wu relative to Pavel Chebotarev Russia Pavel Chebotarev's profile →
Citations per field
00.5×4.7×
Pavel Chebotarev · 1×
Citations per year

Countries citing papers authored by Zhongfu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhongfu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongfu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongfu Wu. A scholar is included among the top collaborators of Zhongfu Wu 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 Zhongfu Wu. Zhongfu Wu 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 54
2 5
3 4
4
Strategy of Keeping Replica Consistency with Dynamic Voting Mechanism in Data Grid
0
5 11
6 3
7 2
8 14
9 5
10 8
11 1
12 4
13 5
14 4
15 32
16 2
17 110
18 19
19 81
20 51

About Zhongfu Wu

Zhongfu Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 30 papers that have together received 752 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (9 papers), Neural Networks and Applications (8 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (313 citations), Computer Networks and Communications (534 citations) and Artificial Intelligence (311 citations). Zhongfu Wu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Kwok‐Wo Wong, Xiaofeng Liao, Min Gao, Guanrong Chen, Kecheng Liu, Juebang Yu, Chi-Sing Leung, Yun Li, Yong Feng and Hua Li. Their work appears in journals such as Pattern Recognition, Physica D Nonlinear Phenomena and Chaos Solitons & Fractals.

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.

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