Dingquan Li

549 total citations
15 papers, 317 citations indexed

About

Dingquan Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Dingquan Li has authored 15 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 2 papers in Automotive Engineering. Recurrent topics in Dingquan Li's work include Image and Video Quality Assessment (7 papers), Image Enhancement Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Dingquan Li is often cited by papers focused on Image and Video Quality Assessment (7 papers), Image Enhancement Techniques (5 papers) and Advanced Image Processing Techniques (4 papers). Dingquan Li collaborates with scholars based in China, Australia and Hong Kong. Dingquan Li's co-authors include Tingting Jiang, Ming Jiang, Weisi Lin, Kede Ma, Weixia Zhang, Xiaokang Yang, Chao Ma, Guangtao Zhai, Wei Gao and Shuyue Jia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Dingquan Li

14 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingquan Li China 6 274 116 19 16 11 15 317
Weihao Xia China 8 307 1.1× 68 0.6× 23 1.2× 39 2.4× 8 0.7× 18 368
Xinchen Ye China 5 316 1.2× 158 1.4× 32 1.7× 8 0.5× 2 0.2× 7 332
Shanxin Yuan China 8 320 1.2× 141 1.2× 8 0.4× 11 0.7× 3 0.3× 16 342
Alona Golts Israel 4 220 0.8× 94 0.8× 25 1.3× 31 1.9× 4 0.4× 6 256
Weihong Ren China 10 288 1.1× 74 0.6× 7 0.4× 30 1.9× 4 0.4× 38 331
Guo-Ye Yang China 6 243 0.9× 52 0.4× 29 1.5× 28 1.8× 8 0.7× 7 279
Domonkos Varga Hungary 12 358 1.3× 155 1.3× 7 0.4× 27 1.7× 7 0.6× 37 416
Chuhui Xue Singapore 8 243 0.9× 83 0.7× 31 1.6× 56 3.5× 3 0.3× 10 284
Huixuan Tang Canada 7 334 1.2× 235 2.0× 5 0.3× 8 0.5× 9 0.8× 10 362
Yu-Chuan Su United States 9 282 1.0× 46 0.4× 9 0.5× 25 1.6× 6 0.5× 22 311

Countries citing papers authored by Dingquan Li

Since Specialization
Citations

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

Fields of papers citing papers by Dingquan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingquan Li

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

All Works

15 of 15 papers shown
1.
Wu, Jie, Dingquan Li, Zhenguo Wu, et al.. (2025). Efficient estimating and clustering lithium-ion batteries with a deep-learning approach. Communications Engineering. 4(1). 151–151. 1 indexed citations
2.
Li, Dingquan, Kede Ma, Jing Wang, & Ge Li. (2024). Hierarchical Prior-Based Super Resolution for Point Cloud Geometry Compression. IEEE Transactions on Image Processing. 33. 1965–1976. 3 indexed citations
3.
4.
Li, Dingquan, Chenyang Wang, Xin Geng, et al.. (2024). Data-driven estimation of battery state-of-health with formation features. Journal of Micromechanics and Microengineering. 34(7). 75004–75004. 2 indexed citations
5.
Zhang, Wei, Dingquan Li, Haihua Zhang, Pengpeng Yu, & Wen Gao. (2024). Lightweight Bit-Depth Recovery Network for Gaofen Satellite Multispectral Image Compression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18635–18651. 5 indexed citations
6.
Yang, Chenxi, Yujia Liu, Dingquan Li, & Tingting Jiang. (2024). Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12715–12729. 5 indexed citations
7.
Liu, Daochang, et al.. (2023). Personalized Image Generation for Color Vision Deficiency Population. 22514–22523. 5 indexed citations
8.
Li, Dingquan, et al.. (2022). Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation. 29. 1–5. 1 indexed citations
9.
Zhang, Weixia, Dingquan Li, Chao Ma, et al.. (2022). Continual Learning for Blind Image Quality Assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(3). 1–1. 71 indexed citations
10.
Li, Dingquan, et al.. (2022). Deep Geometry Post-Processing for Decompressed Point Clouds. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 13 indexed citations
11.
Jia, Shuyue, Baoliang Chen, Dingquan Li, & Shiqi Wang. (2022). No-reference Image Quality Assessment via Non-local Dependency Modeling. 1–6. 7 indexed citations
12.
Li, Dingquan, Tingting Jiang, & Ming Jiang. (2021). Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training. International Journal of Computer Vision. 129(4). 1238–1257. 93 indexed citations
13.
Li, Dingquan, Tingting Jiang, Ming Jiang, Vajira Thambawita, & Haoliang Wang. (2021). Reproducibility Companion Paper. 3615–3618.
14.
Li, Dingquan, et al.. (2019). Recent Advances and Challenges in Video Quality Assessment. ZTE communications. 17(1). 3–11. 7 indexed citations
15.
Li, Dingquan, Tingting Jiang, Weisi Lin, & Ming Jiang. (2018). Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?. IEEE Transactions on Multimedia. 21(5). 1221–1234. 99 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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