Chao Ren

1.9k citations
74 papers · 1.2k indexed · h-index 18
Topics
Power System Optimization and Stability (16 papers)Smart Grid Security and Resilience (14 papers)Machine Learning and ELM (11 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
SingaporeChinaAustralia

In The Last Decade

Chao Ren

65 papers receiving 1.2k citations

Peers

Chao Ren
Comparison fields: 5 of 117
  • Electrical and Electronic Engineering 587
  • Control and Systems Engineering 353
  • Artificial Intelligence 280
  • Safety, Risk, Reliability and Quality 201
  • Molecular Biology 168
Replace Tomo Popović with:
Tomo Popović Montenegro
R. Chakrabarti India
Yu‐Huei Cheng Taiwan
Muhammad Mohsin Ansari Pakistan
Yankai Cao Canada
Sourabh Jain India
Kyung‐Bin Song South Korea
Jehangir Arshad Pakistan
Wanyu Deng China
Joachim Schmid Germany
Chao Ren relative to Tomo Popović Montenegro Tomo Popović's profile →
Citations per field
00.5×6.7×
Tomo Popović · 1×
Citations per year

Countries citing papers authored by Chao Ren

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ren. A scholar is included among the top collaborators of Chao Ren 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 Chao Ren. Chao Ren 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
#WorkIndexed citations
1 0
2 7
3 2
4 3
5 4
6 8
7 13
8 14
9 13
10 4
11 9
12 12
13 16
14 4
15 29
16 39
17 42
18 34
19 60
20 83

About Chao Ren

Chao Ren is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Artificial Intelligence, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Power System Optimization and Stability (16 papers), Smart Grid Security and Resilience (14 papers) and Machine Learning and ELM (11 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (201 citations), Control and Systems Engineering (353 citations) and Electrical and Electronic Engineering (587 citations). Chao Ren has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Yan Xu, Rui Zhang, Yuchen Zhang, Qiaoqiao Li, Chao Wu, Ming Du, Xiaochen Bo, Wenjie Shu, Feng Liu and Xianbing Xu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

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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