Daniel K. Du
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Face and Expression Recognition 3
- Face recognition and analysis 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- Zeqiang He (1 shared paper)Jingtuo Liu (1 shared paper)Xu Tang (1 shared paper)Zheng‐Hai Huang (2 shared papers)Kun Shang (1 shared paper)Qing-Hu Hou (2 shared papers)Ru‐Xi Ding (1 shared paper)Xu Wang (1 shared paper)
- Journals
- Journal of Visual Communication and Image Representation (1 paper)The Electronic Journal of Combinatorics (1 paper)European Journal of Combinatorics (1 paper)The Ramanujan Journal (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Daniel K. Du
12 papers receiving 377 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 313
- Signal Processing 77
- Computer Graphics and Computer-Aided Design 20
- Discrete Mathematics and Combinatorics 12
- Algebra and Number Theory 13
Countries citing papers authored by Daniel K. Du
This map shows the geographic impact of Daniel K. Du'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 Daniel K. Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Du more than expected).
Fields of papers citing papers by Daniel K. Du
This network shows the impact of papers produced by Daniel K. Du. 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 Daniel K. Du. The network helps show where Daniel K. Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. Du, 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 | 2018 | 276 | |
| 2 | 2024 | 27 | |
| 3 | 2015 | 24 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 11 | |
| 6 | 2013 | 9 | |
| 7 | 2017 | 8 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Daniel K. Du
Daniel K. Du is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics, Algebra and Number Theory, Human-Computer Interaction and Discrete Mathematics and Combinatorics, having authored 14 papers that have together received 388 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Advanced Mathematical Identities (3 papers), Face recognition and analysis (2 papers), 3D Shape Modeling and Analysis (2 papers), Image Retrieval and Classification Techniques (2 papers), Gaze Tracking and Assistive Technology (2 papers), Advanced Combinatorial Mathematics (2 papers) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (313 citations), Signal Processing (77 citations), Computer Graphics and Computer-Aided Design (20 citations), Discrete Mathematics and Combinatorics (12 citations) and Algebra and Number Theory (13 citations). Daniel K. Du has collaborated with scholars based in China and United States. Frequent co-authors include Zeqiang He, Jingtuo Liu, Xu Tang, Zheng‐Hai Huang, Kun Shang, Qing-Hu Hou, Ru‐Xi Ding, Xu Wang, Feida Zhu and Mingyue Zheng. Their work appears in journals such as Journal of Visual Communication and Image Representation, The Electronic Journal of Combinatorics, European Journal of Combinatorics, The Ramanujan Journal and Lecture notes in computer science.
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.