Pan Du
Impact in
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- Topic Modeling
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Text and Document Classification Technologies
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 4
- Domain Adaptation and Few-Shot Learning 3
- Advanced Text Analysis Techniques 3
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- Cancer Genomics and Diagnostics 10
- Co-authors
- Xueqi Cheng (5 shared papers)Jiafeng Guo (4 shared papers)Xiaofei Zhu (1 shared paper)Yixin Chen (1 shared paper)Suyun Zhao (4 shared papers)Cuiping Li (4 shared papers)Jianxun Wang (2 shared papers)Xiantao Fan (1 shared paper)
- Journals
- Journal of Clinical Oncology (7 papers)Phytomedicine (2 papers)Theory and applications of categories (2 papers)Cancer Research (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Pan Du
39 papers receiving 242 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 71
- Computer Vision and Pattern Recognition 44
- Computational Mathematics 1
- Cancer Research 18
- Statistical and Nonlinear Physics 16
Countries citing papers authored by Pan Du
This map shows the geographic impact of Pan 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 Pan Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Du more than expected).
Fields of papers citing papers by Pan Du
This network shows the impact of papers produced by Pan 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 Pan Du. The network helps show where Pan Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 38 | |
| 2 | 2024 | 32 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 19 | |
| 5 | 2019 | 18 | |
| 6 | 2022 | 10 | |
| 7 | 2013 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 3 |
About Pan Du
Pan Du is a scholar working on Artificial Intelligence, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 44 papers that have together received 245 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Bladder and Urothelial Cancer Treatments (7 papers), Renal cell carcinoma treatment (4 papers), Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Epigenetics and DNA Methylation (3 papers), Ferroptosis and cancer prognosis (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (71 citations), Computer Vision and Pattern Recognition (44 citations), Computational Mathematics (1 citation), Cancer Research (18 citations) and Statistical and Nonlinear Physics (16 citations). Pan Du has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xueqi Cheng, Jiafeng Guo, Xiaofei Zhu, Yixin Chen, Suyun Zhao, Cuiping Li, Jianxun Wang, Xiantao Fan, Lian Hu and Xiwen Luo. Their work appears in journals such as Journal of Clinical Oncology, Phytomedicine, Theory and applications of categories, Cancer Research and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.