Rubin Wang

4.5k citations
183 papers · 3.5k · h-index 30

Impact in

Papers in

Rubin Wang

179 papers receiving 3.4k citations

Peers

Rubin Wang
Comparison fields: 5 of 168
  • Cognitive Neuroscience 1.4k
  • Statistical and Nonlinear Physics 615
  • Biochemistry 227
  • Cellular and Molecular Neuroscience 623
  • Complementary and alternative medicine 147
Replace Hiroshi Saitō with:
Hiroshi Saitō Japan
Henggui Zhang United Kingdom
Xuerui Wang China
Alessandro E. P. Villa Switzerland
Eduardo Ros Spain
Shuyu Li China
Haruo Kobayashi Japan
Yutaka Tomita Japan
Murali Ramanathan United States
Duan Li China
Rubin Wang relative to Hiroshi Saitō Japan Hiroshi Saitō's profile →
Citations per field
00.5×10.6×
Hiroshi Saitō · 1×
Citations per year

Countries citing papers authored by Rubin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Rubin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rubin 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 Rubin Wang Line = papers co-authored together Rubin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999446
2 2001249
3 2006129
4 201892
5 201478
6 200767
7 200459
8 201452
9 200751
10 202049
11 201847
12 200146
13 201845
14 201545
15 201644
16 200144
17 200642
18 201740
19 201040
20 200940

About Rubin Wang

Rubin Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence, having authored 183 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (83 papers), stochastic dynamics and bifurcation (38 papers), EEG and Brain-Computer Interfaces (28 papers), Neuroscience and Neural Engineering (19 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Photoreceptor and optogenetics research (14 papers), Advanced Memory and Neural Computing (14 papers) and Memory and Neural Mechanisms (14 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Statistical and Nonlinear Physics (615 citations), Biochemistry (227 citations), Cellular and Molecular Neuroscience (623 citations) and Complementary and alternative medicine (147 citations). Rubin Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Eric J. Lien, Shijun Ren, Huynh‐Hoa Bui, Jianhua Zhang, Xuying Xu, Zhikang Zhang, Zhikang Zhang, Xiaochuan Pan, Zhong Yin and Yating Zhu. Their work appears in journals such as Nonlinear Dynamics, Neurocomputing, Frontiers in Neuroscience, Fibers and Polymers and Applied Mathematics and Mechanics.

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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