Chaoran Li

645 total citations
14 papers, 387 citations indexed

About

Chaoran Li is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Chaoran Li has authored 14 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Chaoran Li's work include Adversarial Robustness in Machine Learning (5 papers), Advanced Malware Detection Techniques (5 papers) and Anomaly Detection Techniques and Applications (2 papers). Chaoran Li is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Advanced Malware Detection Techniques (5 papers) and Anomaly Detection Techniques and Applications (2 papers). Chaoran Li collaborates with scholars based in Australia, China and United States. Chaoran Li's co-authors include Sheng Wen, Derui Wang, Yang Xiang, ‪Surya Nepal‬, Xiao Chen, Jun Zhang, Kui Ren, Xiangyu Zhang, Qing‐Long Han and Seyit Camtepe and has published in prestigious journals such as Energy, IEEE Transactions on Cybernetics and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Chaoran Li

13 papers receiving 372 citations

Peers

Chaoran Li
Comparison fields: 5 of 60
  • Signal Processing 210
  • Artificial Intelligence 197
  • Computer Networks and Communications 178
  • Information Systems 110
  • Software 50
Replace Yunhan Jia with:
Yunhan Jia United States
Mi-Jung Choi South Korea
Andrea De Lorenzo Italy
Junyang Qiu China
Xiaobo Ma China
Ya Xiao United States
Mahmood Yousefi‐Azar Australia
Norbik Bashah Idris Malaysia
Ambra Demontis Italy
Sibi Chakkaravarthy Sethuraman India
Yunhan Jia United States View profile →
Citations per field, relative to Chaoran Li
Chaoran Li · 1×
Citations per year, relative to Chaoran Li
Chaoran Li · 1×

Countries citing papers authored by Chaoran Li

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoran Li

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 3
5 4
6 5
7 34
8 54
9 24
10 19
11 220
12 12
13 4
14 5

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026