Ruohan Yang

639 citations
47 papers · 446 · h-index 12

Impact in

Papers in

Ruohan Yang

39 papers receiving 441 citations

Peers

Ruohan Yang
Comparison fields: 5 of 72
  • Computer Networks and Communications 240
  • Control and Systems Engineering 213
  • Computational Theory and Mathematics 48
  • Artificial Intelligence 69
  • Periodontics 10
Replace Taha Boukhobza with:
Taha Boukhobza France
Stefano Riverso Italy
Kwang-Ki K. Kim South Korea
Mengjun Li China
Pravir Chawdhry United Kingdom
J. Giesbrecht Canada
Usman Ashraf Pakistan
Yongsheng Yang China
Ruohan Yang relative to Taha Boukhobza France Taha Boukhobza's profile →
Citations per field
00.5×10×14.4×
Taha Boukhobza · 1×
Citations per year

Countries citing papers authored by Ruohan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ruohan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201752
3 202337
4 202230
5 202028
6 202322
7 202219
8 201918
9 202018
10 202214
11 202213
12 202311
13 202210
14 20239
15 20228
16 20247
17 20227
18 20227
19 20246
20 20226

About Ruohan Yang

Ruohan Yang is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Aerospace Engineering, having authored 47 papers that have together received 446 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (22 papers), Neural Networks Stability and Synchronization (11 papers), Adaptive Control of Nonlinear Systems (8 papers), Fault Detection and Control Systems (7 papers), Adaptive Dynamic Programming Control (4 papers), UAV Applications and Optimization (4 papers), Elevator Systems and Control (3 papers) and Smart Grid Security and Resilience (3 papers). The work is most often cited by research in Computer Networks and Communications (240 citations), Control and Systems Engineering (213 citations), Computational Theory and Mathematics (48 citations), Artificial Intelligence (69 citations) and Periodontics (10 citations). Ruohan Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gang Feng, Lu Liu, Zhichao Feng, Huaicheng Yan, Hao Zhang, Zhijie Zhou, Changhua Hu, Wei He, Yue Li and Deyun Zhou. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Cybernetics, Synthetic Metals, Scientific Reports 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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