Chenyang Tao
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 6
- Explainable Artificial Intelligence (XAI) 3
-
- Generative Adversarial Networks and Image Synthesis 4
- Multimodal Machine Learning Applications 3
- Co-authors
- Ying–Hong Shi (16 shared papers)Jia Fan (16 shared papers)Zheng Tang (15 shared papers)Wei‐Feng Qu (13 shared papers)Wei‐Ren Liu (10 shared papers)Run Huang (6 shared papers)Zhen‐Bin Ding (11 shared papers)Yufu Zhou (7 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Cancer (2 papers)BMC Cancer (2 papers)Physical review. E (1 paper)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Chenyang Tao
41 papers receiving 815 citations
Chenyang Tao's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 147
- Hepatology 64
- Oncology 150
- Immunology 102
- Molecular Biology 240
Countries citing papers authored by Chenyang Tao
This map shows the geographic impact of Chenyang Tao'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 Chenyang Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyang Tao more than expected).
Fields of papers citing papers by Chenyang Tao
This network shows the impact of papers produced by Chenyang Tao. 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 Chenyang Tao. The network helps show where Chenyang Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenyang Tao, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 236 |
| 2 | 2015 | 64 | |
| 3 | 2021 | 48 | |
| 4 | 2017 | 42 | |
| 5 | 2021 | 34 | |
| 6 | 2023 | 30 | |
| 7 | 2024 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2023 | 25 | |
| 10 | 2018 | 24 | |
| 11 | 2022 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 12 |
About Chenyang Tao
Chenyang Tao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery, Pulmonary and Respiratory Medicine and Hepatology, having authored 42 papers that have together received 821 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Multimodal Machine Learning Applications (3 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Cancer Research (147 citations), Hepatology (64 citations), Oncology (150 citations), Immunology (102 citations) and Molecular Biology (240 citations). Chenyang Tao has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Ying–Hong Shi, Jia Fan, Zheng Tang, Wei‐Feng Qu, Wei‐Ren Liu, Run Huang, Zhen‐Bin Ding, Yufu Zhou, Yuan Fang and Shushu Song. Their work appears in journals such as PLoS ONE, Journal of Cancer, BMC Cancer, Physical review. E and BMC Medicine.
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.