Bingqing Cheng

3.4k total citations · 3 hit papers
55 papers, 2.1k citations indexed

About

Bingqing Cheng is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Atmospheric Science. According to data from OpenAlex, Bingqing Cheng has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 10 papers in Atomic and Molecular Physics, and Optics and 10 papers in Atmospheric Science. Recurrent topics in Bingqing Cheng's work include Machine Learning in Materials Science (21 papers), nanoparticles nucleation surface interactions (10 papers) and Computational Drug Discovery Methods (9 papers). Bingqing Cheng is often cited by papers focused on Machine Learning in Materials Science (21 papers), nanoparticles nucleation surface interactions (10 papers) and Computational Drug Discovery Methods (9 papers). Bingqing Cheng collaborates with scholars based in Austria, United Kingdom and United States. Bingqing Cheng's 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 and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Bingqing Cheng

54 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

2021 546 citations Bingqing Cheng et al. profile →
Ab initio thermodynamics of liquid and solid water

2019 248 citations Bingqing Cheng, Edgar A. Engel et al. profile →
Latent Ewald summation for machine learning of long-range interactions

2025 20 citations Bingqing Cheng npj Computational Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bingqing Cheng Austria	22	1.3k	406	334	274	253	55	2.1k
Peter W. Chung United States	25	1.1k 0.8×	220 0.5×	430 1.3×	239 0.9×	199 0.8×	100	2.0k
James R. Kermode United Kingdom	24	2.3k 1.8×	490 1.2×	480 1.4×	319 1.2×	392 1.5×	54	2.9k
Toon Verstraelen Belgium	36	2.6k 2.0×	1.2k 2.9×	314 0.9×	447 1.6×	692 2.7×	90	4.9k
Junchao Xia United States	25	822 0.6×	361 0.9×	83 0.2×	460 1.7×	392 1.5×	86	2.1k
Mohan Chen China	27	1.4k 1.1×	1.1k 2.7×	137 0.4×	288 1.1×	424 1.7×	106	2.6k
Sudhir B. Kylasa United States	6	1.1k 0.8×	245 0.6×	57 0.2×	108 0.4×	343 1.4×	9	1.8k
Luca M. Ghiringhelli Germany	30	3.2k 2.4×	561 1.4×	338 1.0×	140 0.5×	1.4k 5.3×	74	4.1k
David M. Wilkins United Kingdom	17	1.1k 0.9×	706 1.7×	481 1.4×	292 1.1×	227 0.9×	26	2.0k
Nongnuch Artrith United States	25	2.5k 1.9×	414 1.0×	576 1.7×	296 1.1×	1.0k 4.0×	39	3.4k
Abhijit Chatterjee India	34	1.7k 1.3×	453 1.1×	75 0.2×	508 1.9×	946 3.7×	204	3.9k

Countries citing papers authored by Bingqing Cheng

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Bingqing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Bingqing Cheng. A scholar is included among the top collaborators of Bingqing Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bingqing Cheng. Bingqing Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cheng, Bingqing, et al.. (2025). Automatic feature selection and weighting in molecular systems using Differentiable Information Imbalance. Nature Communications. 16(1). 270–270. 4 indexed citations

King, David A., et al.. (2025). Machine learning of charges and long-range interactions from energies and forces. Nature Communications. 16(1). 8763–8763. 6 indexed citations

Cheng, Bingqing. (2025). Latent Ewald summation for machine learning of long-range interactions. npj Computational Materials. 11(1). 20 indexed citations breakdown →

Zhong, Peichen, et al.. (2025). A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials. ArXiv.org.

Zeng, Zezhu, et al.. (2023). Mechanistic insight on water dissociation on pristine low-index TiO2 surfaces from machine learning molecular dynamics simulations. Nature Communications. 14(1). 6131–6131. 46 indexed citations

Cheng, Bingqing, et al.. (2023). Reactivity of Single-Atom Alloy Nanoparticles: Modeling the Dehydrogenation of Propane. Journal of the American Chemical Society. 145(27). 14894–14902. 32 indexed citations

Chen, Ke, Christian Künkel, Bingqing Cheng, Karsten Reuter, & Johannes T. Margraf. (2023). Physics-inspired machine learning of localized intensive properties. Chemical Science. 14(18). 4913–4922. 10 indexed citations

Reinhardt, Aleks, Pin Yu Chew, & Bingqing Cheng. (2023). A streamlined molecular-dynamics workflow for computing solubilities of molecular and ionic crystals. The Journal of Chemical Physics. 159(18). 6 indexed citations

Schmid, Rochus & Bingqing Cheng. (2023). Computing chemical potentials of adsorbed or confined fluids. The Journal of Chemical Physics. 158(16). 3 indexed citations

10.

Reinhardt, Aleks, Mandy Bethkenhagen, F. Coppari, et al.. (2022). Thermodynamics of high-pressure ice phases explored with atomistic simulations. Nature Communications. 13(1). 4707–4707. 13 indexed citations

11.

Dong, Peng, et al.. (2022). Experimental study on the influence of scattered broken wires on the structural performance of prestressed concrete cylinder pipe. Structures. 47. 52–62. 9 indexed citations

12.

Reinhardt, Aleks & Bingqing Cheng. (2021). Quantum-mechanical exploration of the phase diagram of water. Nature Communications. 12(1). 588–588. 46 indexed citations

13.

Cheng, Bingqing, et al.. (2021). Experimental study on mechanical properties of prestressed concrete cylinder pipes (PCCPs) under external load. International Journal of Pressure Vessels and Piping. 191. 104365–104365. 15 indexed citations

14.

Cheng, Bingqing, et al.. (2020). Mechanical properties and loading response of prestressed concrete cylinder pipes under internal water pressure. Engineering Structures. 216. 110674–110674. 39 indexed citations

15.

Cheng, Bingqing, Ryan‐Rhys Griffiths, Simon Wengert, et al.. (2020). Mapping Materials and Molecules. Accounts of Chemical Research. 53(9). 1981–1991. 89 indexed citations

16.

Cheng, Bingqing, Guglielmo Mazzola, Chris J. Pickard, & Michele Ceriotti. (2020). Evidence for supercritical behaviour of high-pressure liquid hydrogen. Nature. 585(7824). 217–220. 108 indexed citations

17.

Cheng, Bingqing & Daan Frenkel. (2020). Computing the Heat Conductivity of Fluids from Density Fluctuations. Physical Review Letters. 125(13). 130602–130602. 27 indexed citations

18.

Monserrat, Bartomeu, Jan Gerit Brandenburg, Edgar A. Engel, & Bingqing Cheng. (2020). Liquid water contains the building blocks of diverse ice phases. Nature Communications. 11(1). 5757–5757. 71 indexed citations

19.

Chen, Hongyang, et al.. (2015). Tailoring low-dimensional structures of bismuth on monolayer epitaxial graphene. Scientific Reports. 5(1). 11623–11623. 18 indexed citations

20.

Hau, Jann, et al.. (1992). The binding of plasminogen fragments to cultured human umbilical vein endothelial cells. Biochemical and Biophysical Research Communications. 188(2). 703–711. 18 indexed citations

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.

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