Shih‐Cheng Li

983 total citations · 1 hit paper
20 papers, 547 citations indexed

About

Shih‐Cheng Li is a scholar working on Materials Chemistry, Inorganic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Shih‐Cheng Li has authored 20 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 6 papers in Inorganic Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Shih‐Cheng Li's work include Machine Learning in Materials Science (11 papers), Computational Drug Discovery Methods (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Shih‐Cheng Li is often cited by papers focused on Machine Learning in Materials Science (11 papers), Computational Drug Discovery Methods (5 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). Shih‐Cheng Li collaborates with scholars based in Taiwan, United States and Hong Kong. Shih‐Cheng Li's co-authors include William H. Green, Haoyang Wu, Kevin P. Greenman, Florence H. Vermeire, Charles J. McGill, Yi‐Pei Li, Yunsie Chung, David Graff, Esther Heid and Kevin C.‐W. Wu and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Shih‐Cheng Li

19 papers receiving 538 citations

Hit Papers

Chemprop: A Machine Learning Package for Chemical Propert... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers

Shih‐Cheng Li
Comparison fields: 5 of 91
  • Materials Chemistry 293
  • Computational Theory and Mathematics 215
  • Biomedical Engineering 118
  • Molecular Biology 116
  • Inorganic Chemistry 78
Replace Dylan M. Anstine with:
Dylan M. Anstine United States
Daniil A. Boiko Russia
William T. Darrow United States
Natalie S. Eyke United States
S. Hessam M. Mehr United Kingdom
Lagnajit Pattanaik United States
Jakob B. Wolf Germany
Daniel W. Trahan United States
Charles J. McGill United States
Natalia Kireeva Russia
Dylan M. Anstine United States View profile →
Citations per field, relative to Shih‐Cheng Li
Shih‐Cheng Li · 1×
Citations per year, relative to Shih‐Cheng Li
Shih‐Cheng Li · 1×

Countries citing papers authored by Shih‐Cheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Cheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Cheng Li. 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 Shih‐Cheng Li. The network helps show where Shih‐Cheng Li may publish in the future.

Co-authorship network of co-authors of Shih‐Cheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Cheng Li. A scholar is included among the top collaborators of Shih‐Cheng Li 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 Shih‐Cheng Li. Shih‐Cheng Li 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
# Work Indexed citations
1 12
2 0
3 1
4 3
5 12
6 1
7 34
8 15
9
Chemprop: A Machine Learning Package for Chemical Property Prediction breakdown →
250
10 3
11 89
12 9
13 4
14 1
15 15
16 38
17 10
18 11
19 37
20 2

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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