Shuwei Chen

121 papers receiving 1.5k citations

Shuwei Chen's Hit Papers

Immune checkpoint inhibitors: breakthroughs in cancer treatment 2024 · 64 citations
640+1Years since publication204060

Peers

Shuwei Chen
Comparison fields: 5 of 128
  • Catalysis 341
  • Process Chemistry and Technology 43
  • Management Science and Operations Research 186
  • Inorganic Chemistry 170
  • Computational Theory and Mathematics 197
Replace Wooyoung Kim with:
Wooyoung Kim South Korea
Ning Shi China
Yufei Wang China
René Bañares‐Alcántara United Kingdom
M. M. Faruque Hasan United States
Chrysanthos E. Gounaris United States
Donghui Zhang China
Jiapeng Liu China
Jiquan Wang China
Cheng‐Liang Chen Taiwan
Shuwei Chen relative to Wooyoung Kim South Korea Wooyoung Kim's profile →
Citations per field
00.5×2.6×
Wooyoung Kim · 1×
Citations per year

Countries citing papers authored by Shuwei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuwei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 200470
3
Immune checkpoint inhibitors: breakthroughs in cancer treatment
Hit paper breakdown →
202464
4 200664
5 201257
6 202255
7 201651
8 202249
9 201948
10 201346
11 201541
12 201240
13 201132
14 201531
15 200430
16 202329
17 201229
18 200629
19 200625
20 201523

About Shuwei Chen

Shuwei Chen is a scholar working on Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, Catalysis and Electrical and Electronic Engineering, having authored 131 papers that have together received 1.5k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (20 papers), Catalysis and Oxidation Reactions (18 papers), Rough Sets and Fuzzy Logic (17 papers), Advanced Algebra and Logic (16 papers), Logic, Reasoning, and Knowledge (16 papers), Zeolite Catalysis and Synthesis (11 papers), Multi-Criteria Decision Making (11 papers) and Mesoporous Materials and Catalysis (10 papers). The work is most often cited by research in Catalysis (341 citations), Process Chemistry and Technology (43 citations), Management Science and Operations Research (186 citations), Inorganic Chemistry (170 citations) and Computational Theory and Mathematics (197 citations). Shuwei Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jun Liu, Zhangfeng Qin, Jianguo Wang, Hui Wang, Juan Carlos Augusto, Lili Du, Ruifeng Li, Yang Xu, Dahai Pan and David H. Glass. Their work appears in journals such as Information Sciences, International Journal of Computational Intelligence Systems, Catalysis Communications, Materials Chemistry and Physics and Materials 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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