Mohan Chen

4.6k citations

117 papers · 3.2k · 1 hit paper · h-index 29

Impact in

Materials Chemistry top 2%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Atomic and Molecular Physics, and Optics top 2%
- Spectroscopy and Quantum Chemical Studies
- Advanced Chemical Physics Studies
- Quantum, superfluid, helium dynamics

Papers in

Materials Chemistry 64
- Machine Learning in Materials Science 30
- Fusion materials and technologies 7
- Nuclear Materials and Properties 7
- Graphene research and applications 7
Atomic and Molecular Physics, and Optics 43
- Advanced Chemical Physics Studies 27
- Spectroscopy and Quantum Chemical Studies 18
- Quantum, superfluid, helium dynamics 8

Co-authors: Xifan Wu (15 shared papers)Roberto Car (5 shared papers)Linfeng Zhang (11 shared papers)Lixin He (11 shared papers)Han Dong Wang (8 shared papers)Biswajit Santra (6 shared papers)Michael Lawrence Klein (6 shared papers)Emily A. Carter (14 shared papers)
Journals: Physical review. B. (12 papers)Journal of Chemical Theory and Computation (7 papers)The Journal of Chemical Physics (6 papers)Journal of Physics Condensed Matter (4 papers)Acta Materialia (3 papers)
Partner nations: China United States Australia

In The Last Decade

Mohan Chen

109 papers receiving 3.1k citations

Mohan Chen's Hit Papers

align trajectories log scale

Ab initio theory and modeling of water 2017 · 357 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2017 Proceedings of the National Academy of Sciences

Peers

Countries citing papers authored by Mohan Chen

Since Specialization

Citations

This map shows the geographic impact of Mohan 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 Mohan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Chen more than expected).

Fields of papers citing papers by Mohan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohan 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 Mohan Chen. The network helps show where Mohan Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohan Chen Line = papers co-authored together Mohan Chen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Ab initio theory and modeling of water Proceedings of the National Academy of Sciences ·Mohan Chen, Hsin-Yu Ko, Richard C. Remsing, Marcos Felipe Calegari Andrade, Biswajit Santra, Zhaoru Sun, Annabella Selloni, Roberto Car Hit paper breakdown →	2017	357
2	Hydroxide diffuses slower than hydronium in water because its solvated structure inhibits correlated proton transfer Nature Chemistry ·Mohan Chen, Lixin Zheng, Biswajit Santra, Hsin-Yu Ko, Robert A. DiStasio, Michael Lawrence Klein, Roberto Car, Xifan Wu	2018	234
3	86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy Computer Physics Communications ·Denghui Lu, Han Dong Wang, Mohan Chen, Lin Lin, Roberto Car, E Weinan, Weile Jia, Linfeng Zhang	2020	176
4	Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning Weile Jia, Han Dong Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, E Weinan, Linfeng Zhang	2020	146
5	Large-scale ab initio simulations based on systematically improvable atomic basis Computational Materials Science ·Pengfei Li, Xiaohui Liu, Mohan Chen, Peize Lin, Xinguo Ren, Lin Lin, Chao Yang, Lixin He	2015	139
6	Deep neural network for the dielectric response of insulators Physical review. B. ·Linfeng Zhang, Mohan Chen, Xifan Wu, Han Dong Wang, E Weinan, Roberto Car	2020	111
7	Systematically improvable optimized atomic basis sets for ab initio calculations Journal of Physics Condensed Matter ·Mohan Chen, G-C Guo, Lixin He	2010	106
8	DPA-2: a large atomic model as a multi-task learner npj Computational Materials ·Duo Zhang, Xinzijian Liu, Xiangyu Zhang, Chengqian Zhang, Chun Cai, Hangrui Bi, Yiming Du, Xuejian Qin	2024	89
9	DP Compress: A Model Compression Scheme for Generating Efficient Deep Potential Models Journal of Chemical Theory and Computation ·Denghui Lu, Wanrun Jiang, Yixiao Chen, Linfeng Zhang, Weile Jia, Han Dong Wang, Mohan Chen	2022	77
10	Disordered hyperuniformity in two-dimensional amorphous silica Science Advances ·Yu Zheng, Lei Liu, Hanqing Nan, Zhen-Xiong Shen, Ge Zhang, Duyu Chen, Lixin He, Wenxiang Xu	2020	74
11	Structural, electronic, and dynamical properties of liquid water by ab initio molecular dynamics based on SCAN functional within the canonical ensemble The Journal of Chemical Physics ·Lixin Zheng, Mohan Chen, Zhaoru Sun, Hsin-Yu Ko, Biswajit Santra, Pratikkumar Dhuvad, Xifan Wu	2018	74
12	Modeling Liquid Water by Climbing up Jacob’s Ladder in Density Functional Theory Facilitated by Using Deep Neural Network Potentials The Journal of Physical Chemistry B ·Chunyi Zhang, Fujie Tang, Mohan Chen, Jianhang Xu, Linfeng Zhang, Diana Yuan Qiu, John P. Perdew, Michael Lawrence Klein	2021	73
13	Introducing PROFESS 3.0: An advanced program for orbital-free density functional theory molecular dynamics simulations Computer Physics Communications ·Mohan Chen, Junchao Xia, Chen Huang, Johannes M. Dieterich, Linda Hung, Ilgyou Shin, Emily A. Carter	2015	68
14	Accelerating atomic orbital-based electronic structure calculation via pole expansion and selected inversion Journal of Physics Condensed Matter ·Lin Lin, Mohan Chen, Chao Yang, Lixin He	2013	68
15	Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System Advanced Science ·Cheng Zhang, Mohan Chen, Yelong Pan, Yang Li, Kuaibing Wang, Junwei Yuan, Yanqiu Sun, Qichun Zhang	2023	56
16	Stone–Wales defects preserve hyperuniformity in amorphous two-dimensional networks Proceedings of the National Academy of Sciences ·Duyu Chen, Yu Zheng, Lei Liu, Ge Zhang, Mohan Chen, Yang Jiao, Houlong L. Zhuang	2021	55
17	Sensitive electrochemical biosensor for Uracil-DNA glycosylase detection based on self-linkable hollow Mn/Ni layered doubled hydroxides as oxidase-like nanozyme for cascade signal amplification Biosensors and Bioelectronics ·Tingting Liu, Zhiwen Li, Mohan Chen, Huijuan Zhao, Zekun Zheng, Lin Cui, Xiaomei Zhang	2021	51
18	Petascale Orbital-Free Density Functional Theory Enabled by Small-Box Algorithms Journal of Chemical Theory and Computation ·Mohan Chen, Xiang-Wei Jiang, Houlong L. Zhuang, Lin-Wang Wang, Emily A. Carter	2016	46
19	The melting point of lithium: an orbital-free first-principles molecular dynamics study Molecular Physics ·Mohan Chen, Linda Hung, Chen Huang, Junchao Xia, Emily A. Carter	2013	44
20	Electron-Hole Theory of the Effect of Quantum Nuclei on the X-Ray Absorption Spectra of Liquid Water Physical Review Letters ·Zhaoru Sun, Lixin Zheng, Mohan Chen, Michael Lawrence Klein, Francesco Paesani, Xifan Wu	2018	44

About Mohan Chen

Mohan Chen is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Geophysics, Condensed Matter Physics and Computer Vision and Pattern Recognition, having authored 117 papers that have together received 3.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (30 papers), Advanced Chemical Physics Studies (27 papers), Spectroscopy and Quantum Chemical Studies (18 papers), High-pressure geophysics and materials (9 papers), Quantum, superfluid, helium dynamics (8 papers), Fusion materials and technologies (7 papers), Nuclear Materials and Properties (7 papers) and Graphene research and applications (7 papers). The work is most often cited by research in Materials Chemistry (1.7k citations), Atomic and Molecular Physics, and Optics (1.1k citations), Physical and Theoretical Chemistry (147 citations), Condensed Matter Physics (186 citations) and Electrochemistry (96 citations). Mohan Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xifan Wu, Roberto Car, Linfeng Zhang, Lixin He, Han Dong Wang, Biswajit Santra, Michael Lawrence Klein, Emily A. Carter, Lin Lin and Hsin-Yu Ko. Their work appears in journals such as Physical review. B., Journal of Chemical Theory and Computation, The Journal of Chemical Physics, Journal of Physics Condensed Matter and Acta Materialia.

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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Mohan Chen's Hit Papers

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