Tingquan Deng
-
- Rough Sets and Fuzzy Logic 17
- Computational Mathematics top 10%
-
- Image Retrieval and Classification Techniques 20
- Face and Expression Recognition 16
- Medical Image Segmentation Techniques 9
- Artificial Intelligence top 5%
- Text and Document Classification Technologies 14
-
- Sparse and Compressive Sensing Techniques 6
-
- Data Mining Algorithms and Applications 5
-
- Machine Learning in Bioinformatics 4
- Co-authors
- Weiwei XuYuxiao ChenH.J.A.M. HeijmansHamido FujitaRong MaChangzhong WangQiang LiRubo Zhang
In The Last Decade
Tingquan Deng
48 papers receiving 714 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 333
- Computational Mathematics 10
- Management Science and Operations Research 198
- Computer Vision and Pattern Recognition 274
- Artificial Intelligence 260
Countries citing papers authored by Tingquan Deng
This map shows the geographic impact of Tingquan Deng'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 Tingquan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingquan Deng more than expected).
Fields of papers citing papers by Tingquan Deng
This network shows the impact of papers produced by Tingquan Deng. 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 Tingquan Deng. The network helps show where Tingquan Deng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tingquan Deng, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 7 | |
| 15 | 2019 | 99 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 5 | |
| 18 | Median filtering method based on adaptive central weighting for color images | 2013 | 1 |
| 19 | 2012 | 49 | |
| 20 | Grey-scale morphology based on fuzzy logic | 2000 | 8 |
About Tingquan Deng
Tingquan Deng is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 57 papers that have together received 731 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (20 papers), Rough Sets and Fuzzy Logic (17 papers), Face and Expression Recognition (16 papers), Text and Document Classification Technologies (14 papers), Medical Image Segmentation Techniques (9 papers), Sparse and Compressive Sensing Techniques (6 papers), Data Mining Algorithms and Applications (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (333 citations), Computational Mathematics (10 citations) and Management Science and Operations Research (198 citations). Tingquan Deng has collaborated with scholars based in China, Japan and Spain. Frequent co-authors include Weiwei Xu, Yuxiao Chen, H.J.A.M. Heijmans, Hamido Fujita, Rong Ma, Changzhong Wang, Qiang Li, Rubo Zhang, De Li Liu and Guanqun Liu. Their work appears in journals such as Sensors, Pattern Recognition and Information Sciences.
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.