Siwen Wang

1.7k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Siwen Wang is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Siwen Wang has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 13 papers in Renewable Energy, Sustainability and the Environment and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Siwen Wang's work include Electrocatalysts for Energy Conversion (12 papers), Machine Learning in Materials Science (11 papers) and Fuel Cells and Related Materials (8 papers). Siwen Wang is often cited by papers focused on Electrocatalysts for Energy Conversion (12 papers), Machine Learning in Materials Science (11 papers) and Fuel Cells and Related Materials (8 papers). Siwen Wang collaborates with scholars based in United States, China and United Kingdom. Siwen Wang's co-authors include Hongliang Xin, Zheng Li, Yijin Kang, Kai He, Charles C. Collins, Feng Jiao, Wesley Luc, Luke E. K. Achenie, Hemanth Somarajan Pillai and Wenyu Huang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Siwen Wang

26 papers receiving 1.4k citations

Hit Papers

Ag–Sn Bimetallic Catalyst with a Core–Shell Structure for... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siwen Wang United States 14 1.0k 862 445 398 121 26 1.4k
Verena Streibel Germany 15 579 0.6× 869 1.0× 439 1.0× 243 0.6× 91 0.8× 34 1.2k
Kevan E. Dettelbach Canada 16 960 0.9× 362 0.4× 325 0.7× 603 1.5× 64 0.5× 24 1.4k
Ahmed O. Elnabawy United States 18 940 0.9× 882 1.0× 414 0.9× 387 1.0× 85 0.7× 26 1.5k
Shenjun Zha China 14 895 0.9× 1.5k 1.7× 1.1k 2.5× 301 0.8× 217 1.8× 17 2.0k
Fang Hou China 18 502 0.5× 681 0.8× 370 0.8× 312 0.8× 177 1.5× 27 1.1k
Hemanth Somarajan Pillai United States 13 1.0k 1.0× 692 0.8× 981 2.2× 218 0.5× 54 0.4× 17 1.5k
Aliaksei Mazheika Germany 11 498 0.5× 697 0.8× 318 0.7× 151 0.4× 87 0.7× 20 926
Sulei Hu China 11 467 0.5× 675 0.8× 298 0.7× 233 0.6× 173 1.4× 18 1.0k
Xue Han China 18 819 0.8× 727 0.8× 758 1.7× 328 0.8× 78 0.6× 34 1.5k
Sudarshan Vijay Denmark 14 1.2k 1.2× 654 0.8× 453 1.0× 706 1.8× 56 0.5× 26 1.7k

Countries citing papers authored by Siwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siwen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Siwen Wang. A scholar is included among the top collaborators of Siwen Wang 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 Siwen Wang. Siwen Wang 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.
Fang, Chao, Yuting Li, Siwen Wang, et al.. (2025). Thermoelectric and thermal properties of molecular junctions: mechanisms, characterization methods and applications. Chemical Communications. 61(23). 4447–4464. 3 indexed citations
2.
Liu, Liping, Siwen Wang, Chen Ling, & Hongliang Xin. (2024). Advancing oxygen evolution electrocatalysis with human-machine intelligence. Chem Catalysis. 4(1). 100868–100868. 1 indexed citations
3.
Wang, Siwen, et al.. (2024). Mixed protonic–electronic conducting ceramic membranes for hydrogen separation: A review on recent advances in structure optimization and preparation. Separation and Purification Technology. 355. 129582–129582. 8 indexed citations
4.
Huang, Yang, et al.. (2024). Explainable AI for optimizing oxygen reduction on Pt monolayer core–shell catalysts. SHILAP Revista de lepidopterología. 4(6). 6 indexed citations
5.
Wang, Siwen, Liping Liu, Hongliang Xin, & Chen Ling. (2024). Toward a stable and active catalyst for proton-exchange membrane water electrolysis. Chem Catalysis. 4(1). 100869–100869. 4 indexed citations
6.
Wang, Siwen, et al.. (2023). Realizing the cooking recipe of materials synthesis through large language models. Journal of Materials Chemistry A. 11(47). 25849–25853. 8 indexed citations
7.
Wang, Siwen, Honghong Lin, Li Zhou, et al.. (2023). Transfer learning aided high-throughput computational design of oxygen evolution reaction catalysts in acid conditions. Journal of Energy Chemistry. 80. 744–757. 21 indexed citations
8.
Maag, Alex R., Edward B. Ledford, John R. Coleman, et al.. (2022). Improving Yields and Catalyst Reuse for Palmitic Acid Aromatization in the Presence of Pressurized Water. ACS Sustainable Chemistry & Engineering. 10(17). 5659–5673. 4 indexed citations
9.
Liu, Bowei, et al.. (2021). Understanding the mechanism(s) of ketone oxidation on VOx/γ-Al2O3. Journal of Catalysis. 404. 109–127. 5 indexed citations
10.
Pillai, Hemanth Somarajan, et al.. (2021). Interpretable Machine Learning of Chemical Bonding at Solid Surfaces. The Journal of Physical Chemistry Letters. 12(46). 11476–11487. 35 indexed citations
11.
Tompsett, Geoffrey A., et al.. (2021). Supercritical water promoted aromatics production using ZSM-5 catalyst. Fuel. 310. 122360–122360. 5 indexed citations
12.
Wang, Siwen, Hemanth Somarajan Pillai, & Hongliang Xin. (2020). Bayesian learning of chemisorption for bridging the complexity of electronic descriptors. Nature Communications. 11(1). 6132–6132. 53 indexed citations
13.
Guan, Qingqing, Siwen Wang, Liang He, et al.. (2019). Reactive Metal–Biopolymer Interactions for Semihydrogenation of Acetylene. ACS Catalysis. 9(12). 11146–11152. 36 indexed citations
14.
Wang, Siwen & Hongliang Xin. (2019). Predicting Catalytic Activity of High-Entropy Alloys for Electrocatalysis. Chem. 5(3). 502–504. 45 indexed citations
15.
Li, Zhe, Zhiyuan Qi, Siwen Wang, et al.. (2019). In Situ Formed Pt3Ti Nanoparticles on a Two-Dimensional Transition Metal Carbide (MXene) Used as Efficient Catalysts for Hydrogen Evolution Reactions. Nano Letters. 19(8). 5102–5108. 172 indexed citations
16.
Li, Zheng, Siwen Wang, & Hongliang Xin. (2018). Toward artificial intelligence in catalysis. Nature Catalysis. 1(9). 641–642. 84 indexed citations
17.
Wang, Siwen, et al.. (2018). Overcoming Site Heterogeneity In Search of Metal Nanocatalysts. ACS Combinatorial Science. 20(10). 567–572. 17 indexed citations
18.
Li, Zheng, et al.. (2017). High-throughput screening of bimetallic catalysts enabled by machine learning. Journal of Materials Chemistry A. 5(46). 24131–24138. 296 indexed citations
19.
Wang, Siwen, Jiamin Wang, & Hongliang Xin. (2017). Insights into electrochemical CO2 reduction on tin oxides from first-principles calculations. Green Energy & Environment. 2(2). 168–171. 35 indexed citations
20.
Luc, Wesley, Charles C. Collins, Siwen Wang, et al.. (2017). Ag–Sn Bimetallic Catalyst with a Core–Shell Structure for CO2 Reduction. Journal of the American Chemical Society. 139(5). 1885–1893. 510 indexed citations breakdown →

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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