Tengpeng Li

465 total citations
13 papers, 259 citations indexed

About

Tengpeng Li is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Computer Networks and Communications. According to data from OpenAlex, Tengpeng Li has authored 13 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 3 papers in Sensory Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Tengpeng Li's work include Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Tengpeng Li is often cited by papers focused on Visual Attention and Saliency Detection (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Tengpeng Li collaborates with scholars based in China, United States and Netherlands. Tengpeng Li's co-authors include Kaihua Zhang, Qingshan Liu, Bo Liu, Lin Zheng, Dingwen Zhang, Deng-Ping Fan, Jianbing Shen, Huazhu Fu, Ge-Peng Ji and Ming‐Ming Cheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neurocomputing.

In The Last Decade

Tengpeng Li

12 papers receiving 255 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tengpeng Li China 6 227 41 40 38 25 13 259
Koteswar Rao Jerripothula India 8 246 1.1× 21 0.5× 19 0.5× 44 1.2× 15 0.6× 17 282
Guibiao Liao China 6 211 0.9× 33 0.8× 20 0.5× 57 1.5× 53 2.1× 12 245
Ge Li China 8 230 1.0× 37 0.9× 13 0.3× 51 1.3× 21 0.8× 27 270
Yunzhi Zhuge China 7 304 1.3× 47 1.1× 27 0.7× 46 1.2× 17 0.7× 18 338
Yupeng Cheng China 6 300 1.3× 73 1.8× 47 1.2× 44 1.2× 26 1.0× 9 341
Zixuan Chen China 4 354 1.6× 74 1.8× 48 1.2× 66 1.7× 31 1.2× 7 369
Qiang Zhai China 6 426 1.9× 14 0.3× 54 1.4× 34 0.9× 54 2.2× 13 477
Mingzhu Xu China 10 256 1.1× 39 1.0× 14 0.3× 89 2.3× 63 2.5× 25 293
Mingcan Ma China 4 277 1.2× 48 1.2× 23 0.6× 60 1.6× 46 1.8× 4 302
Sunhyoung Han United States 5 286 1.3× 69 1.7× 76 1.9× 17 0.4× 14 0.6× 8 303

Countries citing papers authored by Tengpeng Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tengpeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tengpeng Li. A scholar is included among the top collaborators of Tengpeng 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 Tengpeng Li. Tengpeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Li, Tengpeng, et al.. (2025). Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 4950–4958. 1 indexed citations
2.
Liu, Yan, Tengpeng Li, Yang Wu, Huihui Song, & Kaihua Zhang. (2022). Self-supervised image co-saliency detection. Computers & Electrical Engineering. 105. 108533–108533. 5 indexed citations
3.
Li, Tengpeng, Kaihua Zhang, Shiwen Shen, et al.. (2021). Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network. IEEE Transactions on Multimedia. 24. 492–505. 31 indexed citations
4.
Fan, Deng-Ping, Tengpeng Li, Lin Zheng, et al.. (2021). Re-thinking Co-Salient Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 104 indexed citations
5.
6.
Li, Tengpeng, et al.. (2020). PROMAR: Practical Reference Object-based Multi-user Augmented Reality. 1359–1368. 1 indexed citations
7.
Li, Tengpeng, Huihui Song, Kaihua Zhang, & Qingshan Liu. (2020). Learning residual refinement network with semantic context representation for real-time saliency object detection. Pattern Recognition. 105. 107372–107372. 12 indexed citations
8.
Li, Tengpeng, Huihui Song, Kaihua Zhang, & Qingshan Liu. (2020). Recurrent reverse attention guided residual learning for saliency object detection. Neurocomputing. 389. 170–178. 17 indexed citations
9.
Zhang, Kaihua, Tengpeng Li, Bo Liu, & Qingshan Liu. (2019). Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. 3090–3099. 75 indexed citations
10.
Li, Tengpeng, et al.. (2019). PROMAR: Practical Reference Object-based Multi-user Augmented Reality (poster). 531–532. 1 indexed citations
11.
Li, Tengpeng, Huihui Song, Kaihua Zhang, Qingshan Liu, & Wei Lian. (2019). Low-rank weighted co-saliency detection via efficient manifold ranking. Multimedia Tools and Applications. 78(15). 21309–21324. 8 indexed citations
12.
Li, Tengpeng, et al.. (2019). Audio Noise Filter using Cycle Consistent Adversarial Network - CycleGAN ANF. 884–888. 1 indexed citations
13.
Wang, Teng, Jiayin Wang, Tengpeng Li, et al.. (2018). RoVEr: Robust and Verifiable Erasure Code for Hadoop Distributed File Systems. 21. 1–9. 3 indexed citations

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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