Deqiang Jiang
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Image Processing and 3D Reconstruction
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- Natural Language Processing Techniques
- Topic Modeling
- Text and Document Classification Technologies
Papers in
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- Handwritten Text Recognition Techniques 9
- Multimodal Machine Learning Applications 4
- Advanced Image and Video Retrieval Techniques 4
- Video Analysis and Summarization 3
- Image Processing and 3D Reconstruction 2
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- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 5
- Topic Modeling 5
- Co-authors
- Bo Ren (9 shared papers)Hao Liu (7 shared papers)Yinsong Liu (10 shared papers)Bo Ren (3 shared papers)Xin Li (6 shared papers)Wenwen Yu (1 shared paper)Wei Hua (1 shared paper)Xiang Bai (1 shared paper)
- Journals
- Journal of Materials Science (1 paper)Machine Learning (1 paper)Korean Journal of Chemical Engineering (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)
- Partner nations
- China
In The Last Decade
Deqiang Jiang
23 papers receiving 233 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 127
- Artificial Intelligence 87
- Media Technology 17
- Signal Processing 13
- Electronic, Optical and Magnetic Materials 17
Countries citing papers authored by Deqiang Jiang
This map shows the geographic impact of Deqiang Jiang'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 Deqiang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqiang Jiang more than expected).
Fields of papers citing papers by Deqiang Jiang
This network shows the impact of papers produced by Deqiang Jiang. 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 Deqiang Jiang. The network helps show where Deqiang Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Deqiang Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 39 | |
| 2 | 2008 | 24 | |
| 3 | 2022 | 23 | |
| 4 | 2015 | 19 | |
| 5 | 2023 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Deqiang Jiang
Deqiang Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Molecular Biology, having authored 23 papers that have together received 235 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (9 papers), Natural Language Processing Techniques (5 papers), Text and Document Classification Technologies (5 papers), Topic Modeling (5 papers), Multimodal Machine Learning Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Analysis and Summarization (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Artificial Intelligence (87 citations), Media Technology (17 citations), Signal Processing (13 citations) and Electronic, Optical and Magnetic Materials (17 citations). Deqiang Jiang has collaborated with scholars based in China. Frequent co-authors include Bo Ren, Hao Liu, Yinsong Liu, Bo Ren, Xin Li, Wenwen Yu, Wei Hua, Xiang Bai, Yuliang Liu and Wenwen Wang. Their work appears in journals such as Journal of Materials Science, Machine Learning, Korean Journal of Chemical Engineering, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.