Xiaoping Wang

236 papers receiving 4.4k citations

Peers

Xiaoping Wang
Comparison fields: 5 of 174
  • Statistical and Nonlinear Physics 1.2k
  • Cognitive Neuroscience 914
  • Computer Networks and Communications 980
  • Cellular and Molecular Neuroscience 739
  • Electrical and Electronic Engineering 2.2k
Replace Iven Mareels with:
Iven Mareels Australia
Benjamin Schrauwen Belgium
Ramón Huerta United States
André van Schaik Australia
Herbert Jaeger Germany
Malte J. Rasch United States
John H. Reynolds United States
Li Qiu Hong Kong
Thomas Natschläger Austria
Kay A. Robbins United States
Xiaoping Wang relative to Iven Mareels Australia Iven Mareels's profile →
Citations per field
00.5×4.3×
Iven Mareels · 1×
Citations per year

Countries citing papers authored by Xiaoping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoping Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoping Wang Line = papers co-authored together Xiaoping Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017226
2 2017182
3 2020177
4 2016158
5 2021130
6 2021116
7 2021111
8 201798
9 201695
10 201783
11 201374
12 202172
13 202271
14 201870
15 202070
16 201962
17 201661
18 201958
19 202055
20 201555

About Xiaoping Wang

Xiaoping Wang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 257 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (64 papers), Neuroscience and Neural Engineering (32 papers), Neural dynamics and brain function (28 papers), Neural Networks Stability and Synchronization (26 papers), Parallel Computing and Optimization Techniques (19 papers), Ferroelectric and Negative Capacitance Devices (18 papers), Chaos control and synchronization (16 papers) and Emotion and Mood Recognition (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Cognitive Neuroscience (914 citations), Computer Networks and Communications (980 citations), Cellular and Molecular Neuroscience (739 citations) and Electrical and Electronic Engineering (2.2k citations). Xiaoping Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhigang Zeng, Sen Zhang, Qinghui Hong, Jiahao Zheng, Yang Zhang, Eby G. Friedman, Zilu Wang, Yi Li, Chunbiao Li and Jiang Li. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Neurocomputing, Neural Computing and Applications and IEEE Transactions on Biomedical Circuits and 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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