Bingqing Cheng
- Materials Chemistry top 5%
- Machine Learning in Materials Science 21
- Microstructure and mechanical properties 8
- Material Dynamics and Properties 6
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- Computational Drug Discovery Methods 9
- Catalysis top 10%
- Structural Biology top 10%
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- nanoparticles nucleation surface interactions 10
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- Concrete Corrosion and Durability 7
- Geotechnical Engineering and Underground Structures 7
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- Phase Equilibria and Thermodynamics 7
Bingqing Cheng
54 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Materials Chemistry 1.3k
- Computational Theory and Mathematics 334
- Catalysis 94
- Atomic and Molecular Physics, and Optics 406
- Structural Biology 15
Countries citing papers authored by Bingqing Cheng
This map shows the geographic impact of Bingqing Cheng'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 Bingqing Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingqing Cheng more than expected).
Fields of papers citing papers by Bingqing Cheng
This network shows the impact of papers produced by Bingqing Cheng. 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 Bingqing Cheng. The network helps show where Bingqing Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bingqing Cheng, 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 | 2025 | 4 | |
| 2 | 2025 | 6 | |
| 3 | Latent Ewald summation for machine learning of long-range interactionsbreakdown → | 2025 | 20 |
| 4 | A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials | 2025 | 0 |
| 5 | 2023 | 46 | |
| 6 | 2023 | 32 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 46 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 39 | |
| 15 | 2020 | 89 | |
| 16 | 2020 | 108 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 71 | |
| 19 | 2015 | 18 | |
| 20 | 1992 | 18 |
About Bingqing Cheng
Bingqing Cheng is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Atmospheric Science, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (21 papers), nanoparticles nucleation surface interactions (10 papers), Computational Drug Discovery Methods (9 papers), Microstructure and mechanical properties (8 papers), Concrete Corrosion and Durability (7 papers), Geotechnical Engineering and Underground Structures (7 papers), Phase Equilibria and Thermodynamics (7 papers) and Material Dynamics and Properties (6 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Computational Theory and Mathematics (334 citations) and Catalysis (94 citations). Bingqing Cheng has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Michele Ceriotti, A.H.W. Ngan, Stefan Chmiela, Alexandre Tkatchenko, John A. Keith, Klaus‐Robert Müller, Valentín Vassilev-Galindo, Michael Gastegger, Jörg Behler and Edgar A. Engel.
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.