Taiwei Yang

435 citations
14 papers · 287 · h-index 10

Impact in

Papers in

Taiwei Yang

13 papers receiving 280 citations

Peers

Taiwei Yang
Comparison fields: 5 of 43
  • Control and Systems Engineering 168
  • Biomedical Engineering 183
  • Mechanical Engineering 115
  • Aerospace Engineering 53
  • Computer Vision and Pattern Recognition 27
Replace Mohammad Dehghani with:
Mohammad Dehghani Iran
Huaiguang Yang China
Wael Saab United States
Faïz Ben Amar France
John Leichty United States
T. Estier Switzerland
Xinda Qi United States
Ruyi Zhou China
Keisuke Arikawa Japan
Bernhard Klaaßen Germany
Taiwei Yang relative to Mohammad Dehghani Iran Mohammad Dehghani's profile →
Citations per field
00.5×2.6×
Mohammad Dehghani · 1×
Citations per year

Countries citing papers authored by Taiwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Taiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202068
2 202045
3 201841
4 202125
5 202121
6 201920
7 202119
8 202115
9 202310
10 202110
11 20206
12 20225
13 20192
14 20250

About Taiwei Yang

Taiwei Yang is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 14 papers that have together received 287 indexed citations. Recurring topics across this work include Soft Robotics and Applications (11 papers), Robot Manipulation and Learning (6 papers), Robotic Mechanisms and Dynamics (4 papers), Vibration and Dynamic Analysis (2 papers), Modular Robots and Swarm Intelligence (2 papers), Space Satellite Systems and Control (2 papers), Robotic Path Planning Algorithms (2 papers) and Prosthetics and Rehabilitation Robotics (2 papers). The work is most often cited by research in Control and Systems Engineering (168 citations), Biomedical Engineering (183 citations), Mechanical Engineering (115 citations), Aerospace Engineering (53 citations) and Computer Vision and Pattern Recognition (27 citations). Taiwei Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wenfu Xu, Tianliang Liu, Bin Liang, Yangmin Li, Zhonghua Hu, Jianqing Peng, Chuanyu Wu, Huanyu Jiang, Junhua Tong and Bin Liang. Their work appears in journals such as Nonlinear Dynamics, IEEE Transactions on Systems Man and Cybernetics Systems, Acta Astronautica, Science China Technological Sciences and Computers and Electronics in Agriculture.

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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