Chong Peng
- Computational Mathematics top 10%
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- Advanced Chemical Physics Studies 7
- Spectroscopy and Quantum Chemical Studies 4
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- Catalysis and Oxidation Reactions 2
- Spectroscopy top 10%
- Advanced NMR Techniques and Applications 4
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- Machine Learning in Materials Science 4
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- Nanoplatforms for cancer theranostics 3
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- Energy, Environment, Economic Growth 2
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- Advancements in Battery Materials 2
- Co-authors
- Edward F. ValeevFabijan PavoševićPeter PinskiChristoph RiplingerFrank NeeseZhang Jin-meiAshutosh KumarTijana Ž. Grove
- Cited by
- Computational MathematicsAtomic and Molecular Physics, and OpticsPhysical and Theoretical Chemistry
- Journals
- Chemical Reviews (1 paper)Journal of the American Chemical Society (1 paper)Physical Review Letters (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Chong Peng
22 papers receiving 454 citations
Peers
Comparison fields: 5 of 75
- Computational Mathematics 16
- Atomic and Molecular Physics, and Optics 248
- Physical and Theoretical Chemistry 52
- Catalysis 39
- Spectroscopy 91
Countries citing papers authored by Chong Peng
This map shows the geographic impact of Chong Peng'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 Chong Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Peng more than expected).
Fields of papers citing papers by Chong Peng
This network shows the impact of papers produced by Chong Peng. 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 Chong Peng. The network helps show where Chong Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chong Peng, 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 | 2026 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 30 | |
| 6 | 2024 | 24 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 32 | |
| 14 | 2020 | 28 | |
| 15 | 2019 | 9 | |
| 16 | 2019 | 41 | |
| 17 | 2018 | 33 | |
| 18 | 2017 | 130 | |
| 19 | 2016 | 48 | |
| 20 | 2014 | 4 |
About Chong Peng
Chong Peng is a scholar working on Spectroscopy, Catalysis and Atomic and Molecular Physics, and Optics, having authored 24 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (7 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Machine Learning in Materials Science (4 papers), Advanced NMR Techniques and Applications (4 papers), Nanoplatforms for cancer theranostics (3 papers), Energy, Environment, Economic Growth (2 papers), Advancements in Battery Materials (2 papers) and Catalysis and Oxidation Reactions (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Atomic and Molecular Physics, and Optics (248 citations) and Physical and Theoretical Chemistry (52 citations). Chong Peng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Edward F. Valeev, Fabijan Pavošević, Peter Pinski, Christoph Riplinger, Frank Neese, Zhang Jin-mei, Ashutosh Kumar, Tijana Ž. Grove, S. Richard Turner and Jing Huang. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Physical Review Letters.
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.