Benjamin W. J. Chen

1.3k total citations
25 papers, 1.0k citations indexed

About

Benjamin W. J. Chen is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Process Chemistry and Technology. According to data from OpenAlex, Benjamin W. J. Chen has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 8 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Process Chemistry and Technology. Recurrent topics in Benjamin W. J. Chen's work include Machine Learning in Materials Science (10 papers), Catalytic Processes in Materials Science (10 papers) and Carbon dioxide utilization in catalysis (7 papers). Benjamin W. J. Chen is often cited by papers focused on Machine Learning in Materials Science (10 papers), Catalytic Processes in Materials Science (10 papers) and Carbon dioxide utilization in catalysis (7 papers). Benjamin W. J. Chen collaborates with scholars based in Singapore, United States and France. Benjamin W. J. Chen's co-authors include Manos Mavrikakis, Lang Xu, Chia‐Min Yang, Qian He, Chi‐Hwa Wang, Ning Yan, Qiming Sun, Tsunehiro Tanaka, Hiroyuki Asakura and Karl S. Westendorff and has published in prestigious journals such as Chemical Reviews, Angewandte Chemie International Edition and Applied Catalysis B: Environmental.

In The Last Decade

Benjamin W. J. Chen

24 papers receiving 1.0k citations

Peers

Benjamin W. J. Chen
Ayman D. Allian United States
Lucas Foppa Germany
Burcin Temel Denmark
Steven T. Evans United States
Pranaw Kunal United States
Benjamin W. J. Chen
Citations per year, relative to Benjamin W. J. Chen Benjamin W. J. Chen (= 1×) peers Shaama Mallikarjun Sharada

Countries citing papers authored by Benjamin W. J. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin W. J. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin W. J. Chen

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

All Works

20 of 20 papers shown
1.
Maxson, Tristan, et al.. (2025). MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials. Journal of Chemical Information and Modeling. 65(15). 8097–8112. 1 indexed citations
2.
Chen, Benjamin W. J. & Manos Mavrikakis. (2025). Modeling the impact of structure and coverage on the reactivity of realistic heterogeneous catalysts. 2(3). 181–197. 9 indexed citations
3.
Arce‐Ramos, Juan Manuel, Quang Thang Trịnh, Zicong Marvin Wong, et al.. (2025). Breaking scaling relations in AgAuCuPdPt high-entropy alloy nanoparticles for CO 2 electroreduction via machine learning. Materials Horizons. 12(23). 10124–10134.
4.
Maxson, Tristan, et al.. (2024). Enhancing the Quality and Reliability of Machine Learning Interatomic Potentials through Better Reporting Practices. The Journal of Physical Chemistry C. 128(16). 6524–6537. 15 indexed citations
5.
Chen, Jie, Benjamin W. J. Chen, Jia Zhang, Wei Chen, & Yi‐Yang Sun. (2024). Origin of copper as a unique catalyst for C–C coupling in electrocatalytic CO2 reduction. Chemical Science. 15(23). 8835–8840. 4 indexed citations
6.
Gholap, Sandeep Suryabhan, Indranil Dutta, Edy Abou‐Hamad, et al.. (2023). Highly efficient immobilized PN3P-pincer iridium catalyst for dehydrogenation of neat formic acid. Applied Catalysis B: Environmental. 342. 123439–123439. 12 indexed citations
7.
Chen, Benjamin W. J., Xinglong Zhang, & Jia Zhang. (2023). Accelerating explicit solvent models of heterogeneous catalysts with machine learning interatomic potentials. Chemical Science. 14(31). 8338–8354. 28 indexed citations
8.
Dutta, Indranil, Benjamin W. J. Chen, Jia Zhang, et al.. (2022). Formic Acid Dehydrogenation via an Active Ruthenium Pincer Catalyst Immobilized on Tetra-Coordinated Aluminum Hydride Species Supported on Fibrous Silica Nanospheres. ACS Catalysis. 12(22). 14408–14417. 23 indexed citations
9.
Chen, Benjamin W. J., Bo Wang, Michael B. Sullivan, Armando Borgna, & Jia Zhang. (2022). Unraveling the Synergistic Effect of Re and Cs Promoters on Ethylene Epoxidation over Silver Catalysts with Machine Learning-Accelerated First-Principles Simulations. ACS Catalysis. 12(4). 2540–2551. 33 indexed citations
10.
Chen, Benjamin W. J., Saurabh Bhandari, & Manos Mavrikakis. (2021). Role of Hydrogen-bonded Bimolecular Formic Acid–Formate Complexes for Formic Acid Decomposition on Copper: A Combined First-Principles and Microkinetic Modeling Study. ACS Catalysis. 11(7). 4349–4361. 24 indexed citations
11.
Chen, Benjamin W. J., Lang Xu, & Manos Mavrikakis. (2020). Computational Methods in Heterogeneous Catalysis. Chemical Reviews. 121(2). 1007–1048. 332 indexed citations
12.
Chen, Benjamin W. J. & Manos Mavrikakis. (2020). Formic Acid: A Hydrogen-Bonding Cocatalyst for Formate Decomposition. ACS Catalysis. 10(19). 10812–10825. 49 indexed citations
13.
Göltl, Florian, Ellen A. Murray, Benjamin W. J. Chen, et al.. (2020). Exploring driving forces for length growth in graphene nanoribbons during chemical vapor deposition of hydrocarbons on Ge(0 0 1) via kinetic Monte Carlo simulations. Applied Surface Science. 527. 146784–146784. 8 indexed citations
14.
Sun, Qiming, Benjamin W. J. Chen, Ning Wang, et al.. (2020). Zeolite‐Encaged Pd–Mn Nanocatalysts for CO2 Hydrogenation and Formic Acid Dehydrogenation. Angewandte Chemie. 132(45). 20358–20366. 27 indexed citations
15.
Tacey, Sean A., Benjamin W. J. Chen, Tibor Szilvási, & Manos Mavrikakis. (2020). An automated cluster surface scanning method for exploring reaction paths on metal-cluster surfaces. Computational Materials Science. 186. 110010–110010. 8 indexed citations
16.
Szilvási, Tibor, Benjamin W. J. Chen, & Manos Mavrikakis. (2019). Identification of stable adsorption sites and diffusion paths on nanocluster surfaces: an automated scanning algorithm. npj Computational Materials. 5(1). 13 indexed citations
17.
Chen, Benjamin W. J. & Manos Mavrikakis. (2019). How coverage influences thermodynamic and kinetic isotope effects for H2/D2 dissociative adsorption on transition metals. Catalysis Science & Technology. 10(3). 671–689. 30 indexed citations
18.
Bai, Yunhai, Benjamin W. J. Chen, Guowen Peng, & Manos Mavrikakis. (2018). Density functional theory study of thermodynamic and kinetic isotope effects of H2/D2 dissociative adsorption on transition metals. Catalysis Science & Technology. 8(13). 3321–3335. 32 indexed citations
19.
Chen, Benjamin W. J., et al.. (2018). Atomic and Molecular Adsorption on Ag(111). The Journal of Physical Chemistry C. 123(13). 7551–7566. 8 indexed citations
20.
Chen, Benjamin W. J., et al.. (2017). Carboxylic acid formation by hydroxyl insertion into acyl moieties on late transition metals. Catalysis Science & Technology. 7(22). 5365–5375. 2 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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