Te Tang

29 papers receiving 602 citations

Peers

Te Tang
Comparison fields: 5 of 48
  • Control and Systems Engineering 336
  • Industrial and Manufacturing Engineering 73
  • Computer Vision and Pattern Recognition 128
  • Biomedical Engineering 198
  • Human-Computer Interaction 23
Replace Kyoosik Shin with:
Kyoosik Shin South Korea
Guoyu Zuo China
Yu She United States
Yashraj Narang United States
Hitoshi Maekawa Japan
João Bimbo Italy
Tao Mei China
Yuchuang Tong China
Van Anh Ho Japan
Ashwin Balakrishna United States
Te Tang relative to Kyoosik Shin South Korea Kyoosik Shin's profile →
Citations per field
00.5×2.9×
Kyoosik Shin · 1×
Citations per year

Countries citing papers authored by Te Tang

Since Specialization
Citations

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

Fields of papers citing papers by Te Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201655
3 200954
4 201852
5 201951
6 200639
7 200738
8 202235
9 201530
10 201728
11 201324
12 201618
13 201618
14 201615
15 201814
16 201814
17 199510
18 201710
19 20168
20 20076

About Te Tang

Te Tang is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, having authored 31 papers that have together received 610 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotic Mechanisms and Dynamics (10 papers), Soft Robotics and Applications (8 papers), Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers), Phase-change materials and chalcogenides (4 papers), Concrete and Cement Materials Research (3 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (336 citations), Industrial and Manufacturing Engineering (73 citations), Computer Vision and Pattern Recognition (128 citations), Biomedical Engineering (198 citations) and Human-Computer Interaction (23 citations). Te Tang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Masayoshi Tomizuka, Hsien-Chung Lin, Yongxiang Fan, Yu Zhao, Wenjie Chen, Changhao Wang, Yandan Lin, B.C. Cai, Ming Yin and Wenjie Chen. Their work appears in journals such as Construction and Building Materials, IEEE Robotics and Automation Letters, Applied Physics Letters, Electrochemical and Solid-State Letters and Journal of Applied Physics.

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.

Explore authors with similar magnitude of impact