Tengpeng Li
Impact in
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image and Video Quality Assessment
- Sensory Systems top 10%
- Olfactory and Sensory Function Studies
Papers in
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- Visual Attention and Saliency Detection 8
- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 5
- Augmented Reality Applications 2
- Image and Video Quality Assessment 1
- Video Surveillance and Tracking Methods 1
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- Olfactory and Sensory Function Studies 3
- Co-authors
- Kaihua Zhang (6 shared papers)Qingshan Liu (4 shared papers)Bo Liu (1 shared paper)Lin Zheng (1 shared paper)Dingwen Zhang (1 shared paper)Huazhu Fu (1 shared paper)Jianbing Shen (1 shared paper)Deng-Ping Fan (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Computers & Electrical Engineering (1 paper)Multimedia Tools and Applications (1 paper)IEEE Transactions on Multimedia (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Tengpeng Li
12 papers receiving 255 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 227
- Sensory Systems 40
- Media Technology 38
- Cognitive Neuroscience 41
- Human-Computer Interaction 11
Countries citing papers authored by Tengpeng Li
This map shows the geographic impact of Tengpeng 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 Tengpeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tengpeng Li more than expected).
Fields of papers citing papers by Tengpeng Li
This network shows the impact of papers produced by Tengpeng 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 Tengpeng Li. The network helps show where Tengpeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Tengpeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2019 | 75 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2018 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2021 | 0 |
About Tengpeng Li
Tengpeng Li is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems, Computer Networks and Communications, Information Systems and Signal Processing, having authored 13 papers that have together received 259 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (5 papers), Olfactory and Sensory Function Studies (3 papers), Augmented Reality Applications (2 papers), Image and Video Quality Assessment (1 paper), Video Surveillance and Tracking Methods (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Sensory Systems (40 citations), Media Technology (38 citations), Cognitive Neuroscience (41 citations) and Human-Computer Interaction (11 citations). Tengpeng Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Kaihua Zhang, Qingshan Liu, Bo Liu, Lin Zheng, Dingwen Zhang, Huazhu Fu, Jianbing Shen, Deng-Ping Fan, Ming‐Ming Cheng and Ge-Peng Ji. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computers & Electrical Engineering, Multimedia Tools and Applications, IEEE Transactions on Multimedia and Pattern Recognition.
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.