Hongzhi Wei

569 citations
29 papers · 474 indexed · h-index 13
Topics
Advanced Memory and Neural Computing (14 papers)Neural Networks Stability and Synchronization (14 papers)Optimization and Variational Analysis (12 papers)
Partner nations
China

In The Last Decade

Hongzhi Wei

27 papers receiving 470 citations

Peers

Hongzhi Wei
Comparison fields: 5 of 41
  • Computer Networks and Communications 278
  • Electrical and Electronic Engineering 259
  • Statistical and Nonlinear Physics 141
  • Computational Theory and Mathematics 97
  • Management Science and Operations Research 78
Replace Vineet Shekher with:
Vineet Shekher India
Kurt Reinschke Germany
Gangquan Si China
Vasant B. Rao United States
Chengrong Xie China
Jingtao Man China
Yinhe Wang China
K.-Y. Siu United States
Bernd S. W. Schröder United States
Hongzhi Wei relative to Vineet Shekher India Vineet Shekher's profile →
Citations per field
00.5×10×20×31×
Vineet Shekher · 1×
Citations per year

Countries citing papers authored by Hongzhi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hongzhi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongzhi Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Hongzhi Wei. A scholar is included among the top collaborators of Hongzhi Wei 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 Hongzhi Wei. Hongzhi Wei 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 4
2 0
3 2
4 6
5 6
6 22
7 14
8 3
9 1
10 6
11 11
12 34
13 6
14 27
15 20
16 15
17 0
18 43
19 20
20 21

About Hongzhi Wei

Hongzhi Wei is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 29 papers that have together received 474 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neural Networks Stability and Synchronization (14 papers) and Optimization and Variational Analysis (12 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Statistical and Nonlinear Physics (141 citations) and Bioengineering (45 citations). Hongzhi Wei has collaborated with scholars based in China. Frequent co-authors include Ruoxia Li, Chun-Rong Chen, Zhengwen Tu, Shengjie Li, Baowei Wu, Ping Li, Bo Liu, Guoguang Wu, Jianping Sun and Shu Zhu. Their work appears in journals such as Sensors and Actuators B Chemical, Fuzzy Sets and Systems and IEEE Transactions on Neural Networks and Learning Systems.

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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