Ru Wang

38 papers receiving 426 citations

Peers

Ru Wang
Comparison fields: 5 of 88
  • Human-Computer Interaction 85
  • Computer Vision and Pattern Recognition 161
  • Computer Networks and Communications 88
  • Signal Processing 27
  • Statistical and Nonlinear Physics 22
Replace Chenglei Peng with:
Chenglei Peng China
Jinyang Huang China
Hiroaki Kawashima Japan
Xing Lin Guo China
Yizhong Zhang China
Akira Tanaka Japan
Justin Zhan United States
Zhihui Hu China
Weigang Wang China
Ru Wang relative to Chenglei Peng China Chenglei Peng's profile →
Citations per field
00.5×2×3×4.3×
Chenglei Peng · 1×
Citations per year

Countries citing papers authored by Ru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021111
2 201943
3 201936
4 201632
5 201232
6 201922
7 201820
8 201619
9 202314
10 202412
11 202011
12 202310
13 20199
14 20219
15 20158
16 20196
17 20255
18 20235
19 20194
20 20114

About Ru Wang

Ru Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, Artificial Intelligence and Cognitive Neuroscience, having authored 40 papers that have together received 439 indexed citations. Recurring topics across this work include Educational Technology and Pedagogy (3 papers), Advanced Neural Network Applications (3 papers), Caching and Content Delivery (3 papers), Gaze Tracking and Assistive Technology (3 papers), Tactile and Sensory Interactions (3 papers), Network Security and Intrusion Detection (3 papers), Complex Network Analysis Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Human-Computer Interaction (85 citations), Computer Vision and Pattern Recognition (161 citations), Computer Networks and Communications (88 citations), Signal Processing (27 citations) and Statistical and Nonlinear Physics (22 citations). Ru Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fei Richard Yu, Michael C. Yip, Xinming Zhang, Nadir Weibel, Zhicai Zhang, Wandong Cai, Qiao Yan, Janet G. Johnson, Konrad Leslie Davis and Seungmin Rho. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), Frontiers in Cardiovascular Medicine, Journal of Display Technology, Colloids and Surfaces B Biointerfaces and Optics and Lasers in Engineering.

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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