Mingjian Wen

1.1k total citations
24 papers, 596 citations indexed

About

Mingjian Wen is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Mingjian Wen has authored 24 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 6 papers in Computational Theory and Mathematics and 4 papers in Mechanical Engineering. Recurrent topics in Mingjian Wen's work include Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (6 papers) and Advancements in Battery Materials (4 papers). Mingjian Wen is often cited by papers focused on Machine Learning in Materials Science (14 papers), Computational Drug Discovery Methods (6 papers) and Advancements in Battery Materials (4 papers). Mingjian Wen collaborates with scholars based in United States, China and Australia. Mingjian Wen's co-authors include Kristin A. Persson, Samuel M. Blau, Ellad B. Tadmor, Evan Walter Clark Spotte‐Smith, Shyam Dwaraknath, Xiaowei Xie, Efthimios Kaxiras, Hetal D. Patel, Ryan S. Elliott and Xu Chen and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and ACS Nano.

In The Last Decade

Mingjian Wen

23 papers receiving 584 citations

Peers

Countries citing papers authored by Mingjian Wen

Since Specialization

Citations

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

Fields of papers citing papers by Mingjian Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjian Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjian Wen. A scholar is included among the top collaborators of Mingjian Wen 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 Mingjian Wen. Mingjian Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Diffusion Channel Engineering of Spinel Cathodes for Selective Lithium Extraction from Low-Grade Brine 2025 ·ACS Nano ·Yixuan Qiao, Houjun Zhang, Yao Nian, (unknown), (unknown), Tiantian Wang, Yang Wang, Mingjian Wen, You Han, Jieshan Qiu	1
2	An Atomistic Study of Reactivity in Solid-State Electrolyte Interphase Formation for Li/Li₇P₃S₁₁ 2025 ·The Journal of Physical Chemistry C ·(unknown), (unknown), Aaron D. Kaplan, Mingjian Wen, Kristin A. Persson	0
3	Molecular dynamics simulation study on the dynamic viscosity and thermal conductivity of high-energy hydrocarbon fuel Al/JP-10 2025 ·Fuel ·Mingjian Wen, Hanhui Jin, Shuai Wang, Jianren Fan	2
4	Cartesian atomic moment machine learning interatomic potentials 2025 ·npj Computational Materials ·Mingjian Wen, (unknown), Jin Dai, Sadhan K. Adhikari	3
5	Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification 2024 ·(unknown), (unknown), (unknown), Mingjian Wen, (unknown), Ellad B. Tadmor, George Karypis	2
6	Highly selective zinc ion removal by the synergism of functional groups and defects from N, S co-doped biochar 2024 ·Separation and Purification Technology ·Changlin Wang, Santosh Adhikari, (unknown), Mingjian Wen, Yang Wang	22
7	CoeffNet : predicting activation barriers through a chemically-interpretable, equivariant and physically constrained graph neural network 2024 ·Chemical Science ·Sudarshan Vijay, (unknown), Evan Walter Clark Spotte‐Smith, Aaron D. Kaplan, Mingjian Wen, Kristin A. Persson	6
8	An equivariant graph neural network for the elasticity tensors of all seven crystal systems 2024 ·Digital Discovery ·Mingjian Wen, Matthew K. Horton, Jason M. Munro, Patrick Huck, Kristin A. Persson	18
9	Uncertainty quantification and propagation in atomistic machine learning 2024 ·Reviews in Chemical Engineering ·(unknown), (unknown), Mingjian Wen	8
10	Jobflow: Computational Workflows Made Simple 2024 ·The Journal of Open Source Software ·Andrew Rosen, Max C. Gallant, Janine George, Janosh Riebesell, (unknown), Jimmy‐Xuan Shen, Mingjian Wen, Matthew L. Evans, Guido Petretto, David Waroquiers, Gian‐Marco Rignanese, (unknown), Anubhav Jain, Alex M. Ganose	21
11	Chemical reaction networks and opportunities for machine learning 2023 ·Nature Computational Science ·Mingjian Wen, Evan Walter Clark Spotte‐Smith, Samuel M. Blau, Matthew J. McDermott, Aditi S. Krishnapriyan, Kristin A. Persson	64
12	Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks 2023 ·The Journal of Physical Chemistry A ·(unknown), Mingjian Wen, Kristin A. Persson	18
13	Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining 2022 ·Chemical Science ·Mingjian Wen, Samuel M. Blau, Xiaowei Xie, Shyam Dwaraknath, Kristin A. Persson	29
14	Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials 2022 ·The Journal of Chemical Physics ·(unknown), (unknown), (unknown), Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, (unknown), Mingjian Wen	9
15	Quantum chemical calculations of lithium-ion battery electrolyte and interphase species 2021 ·Scientific Data ·Evan Walter Clark Spotte‐Smith, Samuel M. Blau, Xiaowei Xie, Hetal D. Patel, Mingjian Wen, Brandon M. Wood, Shyam Dwaraknath, Kristin A. Persson	40
16	Data-Driven Prediction of Formation Mechanisms of Lithium Ethylene Monocarbonate with an Automated Reaction Network 2021 ·Journal of the American Chemical Society ·Xiaowei Xie, Evan Walter Clark Spotte‐Smith, Mingjian Wen, Hetal D. Patel, Samuel M. Blau, Kristin A. Persson	54
17	BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules 2020 ·Chemical Science ·Mingjian Wen, Samuel M. Blau, Evan Walter Clark Spotte‐Smith, Shyam Dwaraknath, Kristin A. Persson	77
18	Hybrid neural network potential for multilayer graphene 2019 ·Physical review. B. ·Mingjian Wen, Ellad B. Tadmor	44
19	Interpolation effects in tabulated interatomic potentials 2015 ·Modelling and Simulation in Materials Science and Engineering ·Mingjian Wen, (unknown), Ryan S. Elliott, Ellad B. Tadmor	18
20	Uniaxial ratcheting behavior of Zircaloy-4 tubes at room temperature 2012 ·Materials & Design (1980-2015) ·Mingjian Wen, Li Hua, Dunji Yu, Gang Chen, Xu Chen	47

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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