Alpha A. Lee

77 papers receiving 4.8k citations

Alpha A. Lee's Hit Papers

A framework to evaluate machine learning crystal stability predictions 2025 · 79 citations
790+3+6Years since publication200400600

Peers

Alpha A. Lee
Comparison fields: 5 of 135
  • Catalysis 590
  • Automotive Engineering 722
  • Physical and Theoretical Chemistry 823
  • Computational Theory and Mathematics 590
  • Materials Chemistry 954
Replace Brian D. Storey with:
Brian D. Storey United States
Jim Pfaendtner United States
John A. Pojman United States
Chris‐Kriton Skylaris United Kingdom
Hsueh‐Chia Chang United States
William T. Heller United States
Takeshi Ishikawa Japan
Hiroki Kondo Japan
Siowling Soh Singapore
Daniel W. Davies United Kingdom
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Countries citing papers authored by Alpha A. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Alpha A. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alpha A. Lee. 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 Alpha A. Lee. The network helps show where Alpha A. Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Alpha A. Lee, 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 Alpha A. Lee Line = papers co-authored together Alpha A. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
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2020710
2
The Electrostatic Screening Length in Concentrated Electrolytes Increases with Concentration
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2016500
3 2016332
4 2020280
5 2017198
6 2021197
7 2022177
8 2021154
9 2017153
10
Accelerating antiviral drug discovery: lessons from COVID-19
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2023146
11
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors
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2023126
12 2014120
13 2019119
14 2014117
15 2019101
16 202182
17 202080
18
A framework to evaluate machine learning crystal stability predictions
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202579
19 202277
20 201775

About Alpha A. Lee

Alpha A. Lee is a scholar working on Physical and Theoretical Chemistry, Computational Theory and Mathematics, Materials Chemistry, Catalysis and Infectious Diseases, having authored 77 papers that have together received 4.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Electrostatics and Colloid Interactions (15 papers), Machine Learning in Materials Science (13 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Ionic liquids properties and applications (5 papers), Supercapacitor Materials and Fabrication (5 papers), Stochastic Gradient Optimization Techniques (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). The work is most often cited by research in Catalysis (590 citations), Automotive Engineering (722 citations), Physical and Theoretical Chemistry (823 citations), Computational Theory and Mathematics (590 citations) and Materials Chemistry (954 citations). Alpha A. Lee has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Susan Perkin, Alexander Martin Smith, Yao Zhang, Ulrich Stimming, Rhys E. A. Goodall, Yunwei Zhang, Qiaochu Tang, Jiabin Wang, Carla Sofia Perez-Martinez and Dominic Vella. Their work appears in journals such as Nature Communications, Physical Review Letters, Proceedings of the National Academy of Sciences, Faraday Discussions and The Journal of Physical Chemistry Letters.

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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