Zhantao Chen
Impact in
- Radiation top 10%
- Nuclear Physics and Applications
Papers in
-
- Machine Learning in Materials Science 9
- X-ray Diffraction in Crystallography 4
- Thermal properties of materials 3
- Advanced Thermoelectric Materials and Devices 2
-
- Nuclear Physics and Applications 3
- Co-authors
- Mingda Li (8 shared papers)Nina Andrejevic (6 shared papers)Tess Smidt (4 shared papers)Thanh Nguyen (4 shared papers)Tal Cohen (1 shared paper)Yao Wang (3 shared papers)Maria K. Y. Chan (1 shared paper)Peter H. Verburg (1 shared paper)
- Journals
- Advanced Materials (3 papers)iScience (2 papers)Nature Communications (1 paper)Environmental Monitoring and Assessment (1 paper)Advanced Science (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Zhantao Chen
14 papers receiving 281 citations
Peers
Comparison fields: 5 of 66
- Structural Biology 11
- Radiation 38
- Materials Chemistry 177
- Surfaces, Coatings and Films 16
- Condensed Matter Physics 20
Countries citing papers authored by Zhantao Chen
This map shows the geographic impact of Zhantao 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 Zhantao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhantao Chen more than expected).
Fields of papers citing papers by Zhantao Chen
This network shows the impact of papers produced by Zhantao 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 Zhantao Chen. The network helps show where Zhantao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhantao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2022 | 39 | |
| 3 | 2009 | 37 | |
| 4 | 2018 | 36 | |
| 5 | Direct Prediction of Phonon Density of States With Euclidean Neural Networks. | 2021 | 22 |
| 6 | 2022 | 20 | |
| 7 | 2022 | 14 | |
| 8 | 2025 | 13 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Zhantao Chen
Zhantao Chen is a scholar working on Materials Chemistry, Radiation, Condensed Matter Physics, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), X-ray Diffraction in Crystallography (4 papers), Nuclear Physics and Applications (3 papers), Thermal properties of materials (3 papers), Advanced Condensed Matter Physics (2 papers), Neural Networks and Applications (2 papers), Model Reduction and Neural Networks (2 papers) and Advanced Thermoelectric Materials and Devices (2 papers). The work is most often cited by research in Structural Biology (11 citations), Radiation (38 citations), Materials Chemistry (177 citations), Surfaces, Coatings and Films (16 citations) and Condensed Matter Physics (20 citations). Zhantao Chen has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Mingda Li, Nina Andrejevic, Tess Smidt, Thanh Nguyen, Tal Cohen, Yao Wang, Maria K. Y. Chan, Peter H. Verburg, Liming Liu and R. Patrick Xian. Their work appears in journals such as Advanced Materials, iScience, Nature Communications, Environmental Monitoring and Assessment and Advanced Science.
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.