Feicheng Wang
Impact in
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- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- CAR-T cell therapy research
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- Model Reduction and Neural Networks
Papers in
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 1
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- Optical Systems and Laser Technology 1
- Co-authors
- Zhiqiang Hu (1 shared paper)Hongming Pu (1 shared paper)Lu Zhou (1 shared paper)Liwei Wang (1 shared paper)Kun‐Hsing Yu (4 shared papers)Yevgeniy R. Semenov (2 shared papers)Vartan Pahalyants (2 shared papers)Shawn G. Kwatra (2 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (1 paper)npj Precision Oncology (1 paper)Sensors (1 paper)International Journal of Cancer (1 paper)Journal of the American Academy of Dermatology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Feicheng Wang
6 papers receiving 345 citations
Peers
Comparison fields: 5 of 88
- Oncology 107
- Statistical and Nonlinear Physics 39
- Artificial Intelligence 100
- Computer Vision and Pattern Recognition 44
- Structural Biology 2
Countries citing papers authored by Feicheng Wang
This map shows the geographic impact of Feicheng Wang'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 Feicheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feicheng Wang more than expected).
Fields of papers citing papers by Feicheng Wang
This network shows the impact of papers produced by Feicheng Wang. 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 Feicheng Wang. The network helps show where Feicheng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feicheng Wang, 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 | The expressive power of neural networks: a view from the width | 2017 | 194 |
| 2 | 2021 | 62 | |
| 3 | 2021 | 59 | |
| 4 | 2021 | 26 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 0 |
About Feicheng Wang
Feicheng Wang is a scholar working on Oncology, Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering and Genetics, having authored 9 papers that have together received 356 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (1 paper), Optical Systems and Laser Technology (1 paper), Infrared Target Detection Methodologies (1 paper), Adaptive optics and wavefront sensing (1 paper), Neural Networks and Applications (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper) and Optical Polarization and Ellipsometry (1 paper). The work is most often cited by research in Oncology (107 citations), Statistical and Nonlinear Physics (39 citations), Artificial Intelligence (100 citations), Computer Vision and Pattern Recognition (44 citations) and Structural Biology (2 citations). Feicheng Wang has collaborated with scholars based in China and United States. Frequent co-authors include Zhiqiang Hu, Hongming Pu, Lu Zhou, Liwei Wang, Kun‐Hsing Yu, Yevgeniy R. Semenov, Vartan Pahalyants, Shawn G. Kwatra, Mark Kalinich and William S. Murphy. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, npj Precision Oncology, Sensors, International Journal of Cancer and Journal of the American Academy of Dermatology.
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.