Shawn Lu

2.1k total citations · 1 hit paper
5 papers, 1.6k citations indexed

About

Shawn Lu is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis and Electrical and Electronic Engineering. According to data from OpenAlex, Shawn Lu has authored 5 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Renewable Energy, Sustainability and the Environment, 3 papers in Catalysis and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Shawn Lu's work include Electrocatalysts for Energy Conversion (3 papers), CO2 Reduction Techniques and Catalysts (3 papers) and Advanced battery technologies research (2 papers). Shawn Lu is often cited by papers focused on Electrocatalysts for Energy Conversion (3 papers), CO2 Reduction Techniques and Catalysts (3 papers) and Advanced battery technologies research (2 papers). Shawn Lu collaborates with scholars based in United States, Japan and China. Shawn Lu's co-authors include Sumit Verma, Paul J. A. Kenis, Sichao Ma, Richard I. Masel, Wenxin Huang, Naotoshi Nakashima, Tsuyohiko Fujigaya, Andrew A. Gewirth, Chaerin Kim and Yuki Hamasaki and has published in prestigious journals such as ACS Catalysis, Nature Energy and Physical Chemistry Chemical Physics.

In The Last Decade

Shawn Lu

5 papers receiving 1.6k 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.

Co-electrolysis of CO2 and glycerol as a pathway to carbon chemicals with improved technoeconomics due to low electricity consumption

2019 667 citations Sumit Verma, Shawn Lu et al. Nature Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shawn Lu United States	5	1.5k	750	567	323	203	5	1.6k
Aoxue Huang Canada	15	1.6k 1.1×	839 1.1×	670 1.2×	415 1.3×	230 1.1×	20	1.8k
Uzoma O. Nwabara United States	12	1.4k 0.9×	818 1.1×	505 0.9×	324 1.0×	216 1.1×	13	1.5k
Hakhyeon Song South Korea	19	1.3k 0.8×	736 1.0×	390 0.7×	435 1.3×	186 0.9×	26	1.4k
Louisa Rui Lin Ting Singapore	9	1.2k 0.8×	391 0.5×	596 1.1×	522 1.6×	113 0.6×	10	1.4k
Yongxiang Liang China	12	1.1k 0.7×	519 0.7×	426 0.8×	442 1.4×	133 0.7×	19	1.3k
Egon Kecsenovity Hungary	15	1.1k 0.7×	408 0.5×	503 0.9×	402 1.2×	151 0.7×	21	1.3k
Shuaiqiang Jia China	21	1.3k 0.9×	889 1.2×	240 0.4×	498 1.5×	253 1.2×	56	1.5k
Zhenglei Yin China	7	1.2k 0.8×	657 0.9×	369 0.7×	607 1.9×	214 1.1×	8	1.5k
Michael Shincheon Jee South Korea	14	1.6k 1.1×	815 1.1×	495 0.9×	571 1.8×	229 1.1×	15	1.7k
Vikas Reddu Singapore	13	1.2k 0.8×	447 0.6×	516 0.9×	456 1.4×	173 0.9×	16	1.4k

Countries citing papers authored by Shawn Lu

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Lu. A scholar is included among the top collaborators of Shawn Lu 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 Shawn Lu. Shawn Lu 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:

5 of 5 papers shown

1.

Liu, Jin‐Xun, et al.. (2023). Mechanisms of Ethylene Epoxidation over Silver from Machine Learning-Accelerated First-Principles Modeling and Microkinetic Simulations. ACS Catalysis. 13(13). 8955–8962. 15 indexed citations

2.

Lu, Shawn, et al.. (2020). Critical Practices in Rigorously Assessing the Inherent Activity of Nanoparticle Electrocatalysts. ACS Catalysis. 10(18). 10735–10741. 36 indexed citations

3.

Verma, Sumit, Shawn Lu, & Paul J. A. Kenis. (2019). Co-electrolysis of CO2 and glycerol as a pathway to carbon chemicals with improved technoeconomics due to low electricity consumption. Nature Energy. 4(6). 466–474. 667 indexed citations breakdown →

4.

Verma, Sumit, Yuki Hamasaki, Chaerin Kim, et al.. (2017). Insights into the Low Overpotential Electroreduction of CO₂ to CO on a Supported Gold Catalyst in an Alkaline Flow Electrolyzer. ACS Energy Letters. 3(1). 193–198. 443 indexed citations

5.

Verma, Sumit, Shawn Lu, Sichao Ma, Richard I. Masel, & Paul J. A. Kenis. (2015). The effect of electrolyte composition on the electroreduction of CO₂to CO on Ag based gas diffusion electrodes. Physical Chemistry Chemical Physics. 18(10). 7075–7084. 423 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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