Dingquan Li

549 citations
15 papers · 317 · h-index 6

Impact in

    • Image and Video Quality Assessment
    • Advanced Image Processing Techniques
    • Image Enhancement Techniques
    • Visual Attention and Saliency Detection
    • Image and Signal Denoising Methods
    • Advanced Vision and Imaging
    • Advanced Image Fusion Techniques

Papers in

Dingquan Li

14 papers receiving 311 citations

Peers

Dingquan Li
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 274
  • Media Technology 116
  • Computer Graphics and Computer-Aided Design 10
  • Acoustics and Ultrasonics 1
  • Geology 6
Replace Yu-Chuan Su with:
Yu-Chuan Su United States
Abdelrahman Abdelhamed Canada
Shanxin Yuan China
Xinchen Ye China
Weihao Xia China
Sezer Karaoğlu Netherlands
Guo-Ye Yang China
Domonkos Varga Hungary
Chuhui Xue Singapore
Huixuan Tang Canada
Dingquan Li relative to Yu-Chuan Su United States Yu-Chuan Su's profile →
Citations per field
00.5×2.8×
Yu-Chuan Su · 1×
Citations per year

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-authors

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

All Works

15 of 15 papers shown
#Work
1 201899
2 202193
3 202271
4 202213
5 20197
6 20227
7 20245
8 20245
9 20245
10 20235
11 20243
12 20242
13 20251
14 20221
15 20210

About Dingquan Li

Dingquan Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Automotive Engineering, Media Technology and Electrical and Electronic Engineering, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (7 papers), Image Enhancement Techniques (5 papers), Advanced Image Processing Techniques (4 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (3 papers), Advancements in Battery Materials (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (274 citations), Media Technology (116 citations), Computer Graphics and Computer-Aided Design (10 citations), Acoustics and Ultrasonics (1 citation) and Geology (6 citations). Dingquan Li has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Tingting Jiang, Ming Jiang, Weisi Lin, Kede Ma, Guangtao Zhai, Weixia Zhang, Xiaokang Yang, Chao Ma, Shuyue Jia and Baoliang Chen. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Micromechanics and Microengineering and IEEE Transactions on Multimedia.

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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