Pin Chen

2.7k citations
98 papers · 2.0k · h-index 26

Impact in

Papers in

Pin Chen

94 papers receiving 2.0k citations

Peers

Pin Chen
Comparison fields: 5 of 151
  • Inorganic Chemistry 319
  • Renewable Energy, Sustainability and the Environment 368
  • Materials Chemistry 728
  • Catalysis 93
  • Microbiology 77
Replace Francesca Paradisi with:
Francesca Paradisi Switzerland
Hong Yuan China
Neha Kaushik South Korea
Mengyue Li China
Moon Il Kim South Korea
Changlong Jiang China
Guang Yang China
Lishi Wang China
Ning Zhu China
Pin Chen relative to Francesca Paradisi Switzerland Francesca Paradisi's profile →
Citations per field
00.5×3.1×
Francesca Paradisi · 1×
Citations per year

Countries citing papers authored by Pin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020211
2 2019179
3 2022121
4 202293
5 202179
6 202167
7 202263
8 200954
9 201854
10 202351
11 202043
12 202338
13 201937
14 202437
15 202237
16 201536
17 202234
18 202332
19 202230
20 202230

About Pin Chen

Pin Chen is a scholar working on Materials Chemistry, Biomedical Engineering, Renewable Energy, Sustainability and the Environment, Inorganic Chemistry and Artificial Intelligence, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Covalent Organic Framework Applications (9 papers), Advanced Photocatalysis Techniques (8 papers), Metal-Organic Frameworks: Synthesis and Applications (8 papers), Microbial infections and disease research (7 papers), Machine Learning in Materials Science (6 papers), Advanced Software Engineering Methodologies (6 papers), Catalytic Processes in Materials Science (5 papers) and Systems Engineering Methodologies and Applications (5 papers). The work is most often cited by research in Inorganic Chemistry (319 citations), Renewable Energy, Sustainability and the Environment (368 citations), Materials Chemistry (728 citations), Catalysis (93 citations) and Microbiology (77 citations). Pin Chen has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Shukui Zhu, Siyuan Di, Yutong Lu, Dong‐Dong Zhou, Jie‐Peng Zhang, Yan Hui, Ning Tao, Jing Yu, Gang‐Tian Zhu and Hucheng Yang. Their work appears in journals such as Journal of Chromatography A, Advanced Functional Materials, Journal of Hazardous Materials, Food Research International and Inorganic Chemistry Frontiers.

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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