Dewei Yang

477 citations
18 papers · 318 · h-index 8

Impact in

Papers in

Dewei Yang

17 papers receiving 301 citations

Peers

Dewei Yang
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 155
  • Control and Systems Engineering 110
  • Computer Graphics and Computer-Aided Design 16
  • Mechanical Engineering 95
  • Aerospace Engineering 61
Replace Kang Sun with:
Kang Sun China
Li Ding China
James M. Bern Switzerland
Eamon B. Barrett United States
Gregory Kahn United States
Andrew J. Davison United Kingdom
Mengyuan Yan United States
Antoni Rosinol United States
Luis F. Peñín Spain
Yulun Tian United States
Dewei Yang relative to Kang Sun China Kang Sun's profile →
Citations per field
00.5×
Kang Sun · 1×
Citations per year

Countries citing papers authored by Dewei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dewei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005142
2 201429
3 201928
4 202226
5 202326
6 202315
7 202012
8 20187
9 20206
10 20156
11 20205
12 20124
13 20184
14 20163
15 20242
16 20222
17 20231
18 20130

About Dewei Yang

Dewei Yang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery, having authored 18 papers that have together received 318 indexed citations. Recurring topics across this work include Soft Robotics and Applications (6 papers), Machine Fault Diagnosis Techniques (5 papers), Gear and Bearing Dynamics Analysis (5 papers), Robotic Mechanisms and Dynamics (3 papers), Optical measurement and interference techniques (2 papers), Surgical Simulation and Training (2 papers), Underwater Vehicles and Communication Systems (2 papers) and Teleoperation and Haptic Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Control and Systems Engineering (110 citations), Computer Graphics and Computer-Aided Design (16 citations), Mechanical Engineering (95 citations) and Aerospace Engineering (61 citations). Dewei Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lorenzo Torresani, Christoph Bregler, Eugene J. Alexander, Kai Zheng, Zuren Feng, Bin Zhang, Xiaodong Ren, Na Lü, Jingfeng Xiong and Yin Bai. Their work appears in journals such as Sensors, International Journal of Control, Journal of Sound and Vibration, IEEE Sensors Journal and Structural Health Monitoring.

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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