Teng Li
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Mechanics of Materials top 5%
- Topics
- Distributed and Parallel Computing Systems (10 papers)Robotics and Sensor-Based Localization (10 papers)Cloud Computing and Resource Management (8 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionMedical Laboratory Technology
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Information Theory
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Teng Li
106 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Control and Systems Engineering 870
- Mechanical Engineering 583
- Computer Vision and Pattern Recognition 475
- Artificial Intelligence 435
- Mechanics of Materials 349
Countries citing papers authored by Teng Li
This map shows the geographic impact of Teng 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 Teng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Li more than expected).
Fields of papers citing papers by Teng Li
This network shows the impact of papers produced by Teng 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 Teng Li. The network helps show where Teng Li may publish in the future.
Co-authorship network of co-authors of Teng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Teng Li. A scholar is included among the top collaborators of Teng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Teng Li. Teng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 11 | |
| 11 | 34 | |
| 12 | 15 | |
| 13 | 24 | |
| 14 | 46 | |
| 15 | 3 | |
| 16 | A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networksbreakdown → | 241 |
| 17 | 2 | |
| 18 | Derwent Manual Code Co-Occurrence: A Practical Method in Patent Map | 3 |
| 19 | Vision-based UAV Navigation in Mountain Area | 16 |
| 20 | Eco-budget-A Model of Urban Environmental Management | 0 |
About Teng Li
Teng Li is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 2.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (10 papers), Robotics and Sensor-Based Localization (10 papers) and Cloud Computing and Resource Management (8 papers). The work is most often cited by research in Control and Systems Engineering (870 citations), Computer Vision and Pattern Recognition (475 citations) and Medical Laboratory Technology (35 citations). Teng Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Clarence W. de Silva, Min Xia, Lin Xu, Lizhi Liu, Tongxin Shu, Jiafu Wan, Zhongren Wang, Wenjun Zhang, Bingbing Ni and Chengjie Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Information Theory.
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.