Dexiong Chen
Impact in
-
- Cancer-related molecular mechanisms research
Papers in
-
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 2
-
- Advanced machining processes and optimization 4
- Co-authors
- Hui Chen (2 shared papers)Laurent Jacob (2 shared papers)Sheng He (1 shared paper)Guosheng Hu (2 shared papers)Shengnan Shi (1 shared paper)Heng Tao Shen (1 shared paper)Fumin Shen (1 shared paper)Weiping Chen (1 shared paper)
- Journals
- Bioinformatics (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Nature Communications (1 paper)Journal of Computational Biology (1 paper)Frontiers in Neuroinformatics (1 paper)
- Partner nations
- ChinaGermanySwitzerland
In The Last Decade
Dexiong Chen
15 papers receiving 207 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 31
- Computer Vision and Pattern Recognition 25
- Molecular Biology 76
- Artificial Intelligence 34
- Health Informatics 1
Countries citing papers authored by Dexiong Chen
This map shows the geographic impact of Dexiong Chen'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 Dexiong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexiong Chen more than expected).
Fields of papers citing papers by Dexiong Chen
This network shows the impact of papers produced by Dexiong Chen. 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 Dexiong Chen. The network helps show where Dexiong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dexiong Chen, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2018 | 31 | |
| 3 | 2019 | 29 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2024 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Dexiong Chen
Dexiong Chen is a scholar working on Molecular Biology, Mechanical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 22 papers that have together received 209 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (4 papers), Advanced Machining and Optimization Techniques (3 papers), Gene expression and cancer classification (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Surface Polishing Techniques (2 papers), Machine Learning in Bioinformatics (2 papers), Diabetes Management and Research (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cancer Research (31 citations), Computer Vision and Pattern Recognition (25 citations), Molecular Biology (76 citations), Artificial Intelligence (34 citations) and Health Informatics (1 citation). Dexiong Chen has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Hui Chen, Laurent Jacob, Sheng He, Guosheng Hu, Shengnan Shi, Heng Tao Shen, Fumin Shen, Weiping Chen, Jiayi Yin and Tao Li. Their work appears in journals such as Bioinformatics, IEEE Transactions on Neural Networks and Learning Systems, Nature Communications, Journal of Computational Biology and Frontiers in Neuroinformatics.
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.