Renzhi Chen

1.1k total citations · 1 hit paper
16 papers, 738 citations indexed

About

Renzhi Chen is a scholar working on Organic Chemistry, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Renzhi Chen has authored 16 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 5 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Renzhi Chen's work include Advanced Multi-Objective Optimization Algorithms (5 papers), Cyclopropane Reaction Mechanisms (5 papers) and Asymmetric Synthesis and Catalysis (4 papers). Renzhi Chen is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Cyclopropane Reaction Mechanisms (5 papers) and Asymmetric Synthesis and Catalysis (4 papers). Renzhi Chen collaborates with scholars based in China, United Kingdom and Netherlands. Renzhi Chen's co-authors include Ke Li, Xin Yao, Guangtao Fu, Yandong Zhang, Yang Shen, Yuhui Hua, Geyong Min, Chenguang Liu, Dragan Savić and Na Lin and has published in prestigious journals such as Angewandte Chemie International Edition, Organic Letters and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Renzhi Chen

15 papers receiving 730 citations

Hit Papers

Two-Archive Evolutionary Algorithm for Constrained Multio... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Renzhi Chen
Comparison fields: 5 of 83
  • Computational Theory and Mathematics 429
  • Artificial Intelligence 387
  • Organic Chemistry 136
  • Control and Systems Engineering 72
  • Civil and Structural Engineering 62
Replace Priyanka Singh with:
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Priyanka Singh India View profile →
Citations per field, relative to Renzhi Chen
Renzhi Chen · 1×
Citations per year, relative to Renzhi Chen
Renzhi Chen · 1×

Countries citing papers authored by Renzhi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Renzhi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renzhi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Renzhi Chen. A scholar is included among the top collaborators of Renzhi Chen 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 Renzhi Chen. Renzhi Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 1
3 14
4 8
5 4
6 2
7 41
8 6
9 25
10 49
11 19
12
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization breakdown →
468
13 24
14 50
15 9
16 18

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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