Deng Pan
Impact in
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- Emotion and Mood Recognition
Papers in
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- Adversarial Robustness in Machine Learning 5
- Machine Learning and Data Classification 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Dongxiao Zhu (4 shared papers)Xin Li (3 shared papers)Yong Qin (1 shared paper)Ming J. Zuo (2 shared papers)Zhiliang Liu (2 shared papers)Hong Zeng (2 shared papers)Zhe Jia (1 shared paper)Xiangrui Li (2 shared papers)
- Journals
- Journal of Geophysics and Engineering (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Behaviour and Information Technology (1 paper)Future Generation Computer Systems (1 paper)Journal Of Big Data (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Deng Pan
18 papers receiving 249 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 8
- Experimental and Cognitive Psychology 39
- Cognitive Neuroscience 54
- Artificial Intelligence 91
- Control and Systems Engineering 53
Countries citing papers authored by Deng Pan
This map shows the geographic impact of Deng Pan'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 Deng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deng Pan more than expected).
Fields of papers citing papers by Deng Pan
This network shows the impact of papers produced by Deng Pan. 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 Deng Pan. The network helps show where Deng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deng Pan, 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 | 2023 | 54 | |
| 2 | 2017 | 53 | |
| 3 | 2017 | 25 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2016 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2025 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Deng Pan
Deng Pan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ocean Engineering, Geophysics and Mechanics of Materials, having authored 20 papers that have together received 256 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Seismic Waves and Analysis (3 papers), Machine Learning and Data Classification (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Geophysical Methods and Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (8 citations), Experimental and Cognitive Psychology (39 citations), Cognitive Neuroscience (54 citations), Artificial Intelligence (91 citations) and Control and Systems Engineering (53 citations). Deng Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongxiao Zhu, Xin Li, Yong Qin, Ming J. Zuo, Zhiliang Liu, Hong Zeng, Zhe Jia, Xiangrui Li, Caifeng Zou and Huifang Deng. Their work appears in journals such as Journal of Geophysics and Engineering, Computer Methods and Programs in Biomedicine, Behaviour and Information Technology, Future Generation Computer Systems and Journal Of Big Data.
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.