Peichen Zhong
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
Papers in
-
- Machine Learning in Materials Science 16
- X-ray Diffraction in Crystallography 5
- Nuclear Materials and Properties 2
-
- Advancements in Battery Materials 10
- Advanced Battery Materials and Technologies 9
- Advanced Memory and Neural Computing 3
- Co-authors
- Gerbrand Ceder (19 shared papers)Bowen Deng (7 shared papers)KyuJung Jun (4 shared papers)Janosh Riebesell (2 shared papers)Christopher J. Bartel (2 shared papers)Kevin Han (1 shared paper)Luis Barroso-Luque (5 shared papers)Yang Ha (3 shared papers)
- Journals
- Physical review. B. (3 papers)npj Computational Materials (3 papers)ACS Energy Letters (3 papers)Chemistry of Materials (2 papers)Advanced Energy Materials (2 papers)
- Partner nations
- United StatesAustriaChina
In The Last Decade
Peichen Zhong
26 papers receiving 982 citations
Peichen Zhong's Hit Papers
Peers
Comparison fields: 5 of 55
- Materials Chemistry 623
- Automotive Engineering 108
- Electrical and Electronic Engineering 431
- Catalysis 48
- Computational Theory and Mathematics 74
Countries citing papers authored by Peichen Zhong
This map shows the geographic impact of Peichen Zhong'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 Peichen Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peichen Zhong more than expected).
Fields of papers citing papers by Peichen Zhong
This network shows the impact of papers produced by Peichen Zhong. 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 Peichen Zhong. The network helps show where Peichen Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Peichen Zhong, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling Hit paper breakdown → | 2023 | 506 |
| 2 | 2021 | 108 | |
| 3 | Systematic softening in universal machine learning interatomic potentials Hit paper breakdown → | 2025 | 69 |
| 4 | 2022 | 39 | |
| 5 | 2020 | 34 | |
| 6 | 2017 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2024 | 23 | |
| 9 | 2023 | 20 | |
| 10 | 2024 | 20 | |
| 11 | 2022 | 17 | |
| 12 | 2025 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2024 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2025 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2025 | 4 |
About Peichen Zhong
Peichen Zhong is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Mechanical Engineering and Inorganic Chemistry, having authored 29 papers that have together received 997 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (16 papers), Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (9 papers), X-ray Diffraction in Crystallography (5 papers), Advanced Memory and Neural Computing (3 papers), Extraction and Separation Processes (3 papers), Advanced Battery Technologies Research (2 papers) and Nuclear Materials and Properties (2 papers). The work is most often cited by research in Materials Chemistry (623 citations), Automotive Engineering (108 citations), Electrical and Electronic Engineering (431 citations), Catalysis (48 citations) and Computational Theory and Mathematics (74 citations). Peichen Zhong has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Gerbrand Ceder, Bowen Deng, KyuJung Jun, Janosh Riebesell, Christopher J. Bartel, Kevin Han, Luis Barroso-Luque, Yang Ha, Bryan D. McCloskey and Wanli Yang. Their work appears in journals such as Physical review. B., npj Computational Materials, ACS Energy Letters, Chemistry of Materials and Advanced Energy Materials.
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.