Te Li

1.4k citations
127 papers · 899 · h-index 16

Impact in

Papers in

Te Li

115 papers receiving 860 citations

Peers

Te Li
Comparison fields: 5 of 124
  • Mechanical Engineering 338
  • Industrial and Manufacturing Engineering 69
  • Biomedical Engineering 264
  • Control and Systems Engineering 127
  • Reproductive Medicine 43
Replace Shan Gao with:
Shan Gao China
Yongjie Ren China
Weiguang Zheng China
Jin Huang China
Xin Ma China
Junjie Chen China
Osamu Satô Japan
Marcos de Sales Guerra Tsuzuki Brazil
Emmanuelle Abisset‐Chavanne France
Te Li relative to Shan Gao China Shan Gao's profile →
Citations per field
00.5×5.4×
Shan Gao · 1×
Citations per year

Countries citing papers authored by Te Li

Since Specialization
Citations

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

Fields of papers citing papers by Te Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201458
2 201857
3 201753
4 201730
5 201927
6 202226
7 201923
8 201923
9 202422
10 201022
11 201920
12 202218
13 202217
14 201717
15 201515
16 202015
17 201915
18 202014
19 202314
20 201714

About Te Li

Te Li is a scholar working on Mechanical Engineering, Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 127 papers that have together received 899 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (18 papers), Soft Robotics and Applications (12 papers), Advanced Measurement and Metrology Techniques (11 papers), Robot Manipulation and Learning (10 papers), Advanced Data Compression Techniques (9 papers), Thermal Analysis in Power Transmission (8 papers), Speech and Audio Processing (8 papers) and High voltage insulation and dielectric phenomena (6 papers). The work is most often cited by research in Mechanical Engineering (338 citations), Industrial and Manufacturing Engineering (69 citations), Biomedical Engineering (264 citations), Control and Systems Engineering (127 citations) and Reproductive Medicine (43 citations). Te Li has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Haibo Liu, Yongqing Wang, Kuo Liu, Yongqing Wang, Yapeng Li, Gang Zhao, Bin Wu, Yuejuan Xu, Jian Cai and Shilin Song. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Journal of Manufacturing Science and Engineering, IEEE Transactions on Instrumentation and Measurement, The Canadian Journal of Chemical Engineering and Measurement Science and Technology.

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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