Dejing Dou
Impact in
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Advanced Graph Neural Networks
- Adversarial Robustness in Machine Learning
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
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- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Topic Modeling 18
- Privacy-Preserving Technologies in Data 18
- Advanced Graph Neural Networks 18
- Domain Adaptation and Few-Shot Learning 17
- Adversarial Robustness in Machine Learning 12
- Cryptography and Data Security 9
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- Advanced Neural Network Applications 15
- Co-authors
- Haoyi Xiong (38 shared papers)Xingjian Li (21 shared papers)Ji Liu (17 shared papers)Javid Ebrahimi (6 shared papers)Jiang Bian (8 shared papers)Jingbo Zhou (12 shared papers)NhatHai Phan (4 shared papers)Xuhong Li (10 shared papers)
- Journals
- Machine Learning (5 papers)ACM Transactions on Knowledge Discovery from Data (5 papers)Knowledge and Information Systems (4 papers)IEEE Internet of Things Journal (4 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dejing Dou
105 papers receiving 2.3k citations
Dejing Dou's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 546
- Health Informatics 26
- Media Technology 104
- Information Systems 246
Countries citing papers authored by Dejing Dou
This map shows the geographic impact of Dejing Dou'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 Dejing Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejing Dou more than expected).
Fields of papers citing papers by Dejing Dou
This network shows the impact of papers produced by Dejing Dou. 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 Dejing Dou. The network helps show where Dejing Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Dejing Dou, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond Hit paper breakdown → | 2022 | 270 |
| 2 | 2016 | 148 | |
| 3 | 2021 | 139 | |
| 4 | 2021 | 111 | |
| 5 | 2022 | 76 | |
| 6 | 2023 | 75 | |
| 7 | 2021 | 73 | |
| 8 | 2022 | 65 | |
| 9 | 2022 | 55 | |
| 10 | 2023 | 47 | |
| 11 | 2015 | 47 | |
| 12 | 1994 | 46 | |
| 13 | 2022 | 37 | |
| 14 | 2022 | 36 | |
| 15 | 2021 | 36 | |
| 16 | 2020 | 35 | |
| 17 | 2016 | 35 | |
| 18 | 2022 | 32 | |
| 19 | 2023 | 31 | |
| 20 | 2006 | 31 |
About Dejing Dou
Dejing Dou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Privacy-Preserving Technologies in Data (18 papers), Advanced Graph Neural Networks (18 papers), Domain Adaptation and Few-Shot Learning (17 papers), Advanced Neural Network Applications (15 papers), Adversarial Robustness in Machine Learning (12 papers), Complex Network Analysis Techniques (10 papers) and Cryptography and Data Security (9 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (546 citations), Health Informatics (26 citations), Media Technology (104 citations) and Information Systems (246 citations). Dejing Dou has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Haoyi Xiong, Xingjian Li, Ji Liu, Javid Ebrahimi, Jiang Bian, Jingbo Zhou, NhatHai Phan, Xuhong Li, Xintao Wu and Yue Wang. Their work appears in journals such as Machine Learning, ACM Transactions on Knowledge Discovery from Data, Knowledge and Information Systems, IEEE Internet of Things Journal and ACM Transactions on Intelligent Systems and Technology.
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.