Yi‐Pei Li

3.3k citations
53 papers · 1.4k · h-index 20

Impact in

Papers in

    • Machine Learning in Materials Science 19
    • Mesoporous Materials and Catalysis 5
    • Metal-Organic Frameworks: Synthesis and Applications 9
    • Zeolite Catalysis and Synthesis 5

Yi‐Pei Li

48 papers receiving 1.4k citations

Peers

Yi‐Pei Li
Comparison fields: 5 of 93
  • Catalysis 227
  • Inorganic Chemistry 331
  • Computational Theory and Mathematics 330
  • Materials Chemistry 743
  • Organic Chemistry 269
Replace Niels Hansen with:
Niels Hansen Germany
Thomas W. Chamberlain United Kingdom
Yanfei Guan United States
Jon Paul Janet Sweden
Xiaohui Qu United States
Biswajit Maiti India
Kenta Hongo Japan
Thijs Stuyver Belgium
Hyun‐Ku Rhee South Korea
Maarten K. Sabbe Belgium
Yi‐Pei Li relative to Niels Hansen Germany Niels Hansen's profile →
Citations per field
00.5×1.5×2.0×
Niels Hansen · 1×
Citations per year

Countries citing papers authored by Yi‐Pei Li

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Pei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi‐Pei Li, 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 Yi‐Pei Li Line = papers co-authored together Yi‐Pei Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014151
2 2014149
3 2020144
4 201787
5 201984
6 201873
7 201672
8 201465
9 202055
10 201947
11 202343
12 202138
13 202037
14 201436
15 202434
16 201634
17 202124
18 202421
19 202221
20 201620

About Yi‐Pei Li

Yi‐Pei Li is a scholar working on Materials Chemistry, Inorganic Chemistry, Computational Theory and Mathematics, Biomedical Engineering and Organic Chemistry, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (19 papers), Computational Drug Discovery Methods (13 papers), Metal-Organic Frameworks: Synthesis and Applications (9 papers), Catalysis for Biomass Conversion (8 papers), Mesoporous Materials and Catalysis (5 papers), Zeolite Catalysis and Synthesis (5 papers), Conducting polymers and applications (4 papers) and Carbon dioxide utilization in catalysis (4 papers). The work is most often cited by research in Catalysis (227 citations), Inorganic Chemistry (331 citations), Computational Theory and Mathematics (330 citations), Materials Chemistry (743 citations) and Organic Chemistry (269 citations). Yi‐Pei Li has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Alexis T. Bell, Martin Head‐Gordon, William H. Green, Colin A. Grambow, Shih‐Cheng Li, Shaama Mallikarjun Sharada, Gabriele Scalia, Barbara Pernici, Kevin C.‐W. Wu and Yury V. Suleimanov. Their work appears in journals such as Journal of Chemical Theory and Computation, ACS Catalysis, The Journal of Physical Chemistry A, Journal of the Taiwan Institute of Chemical Engineers and Journal of Cheminformatics.

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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