Chao‐Lin Kuo

838 citations
56 papers · 665 · h-index 14

Impact in

Papers in

Chao‐Lin Kuo

54 papers receiving 624 citations

Peers

Chao‐Lin Kuo
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 152
  • Control and Systems Engineering 228
  • Computer Vision and Pattern Recognition 120
  • Energy Engineering and Power Technology 15
  • Renewable Energy, Sustainability and the Environment 74
Replace Yuhua Cheng with:
Yuhua Cheng China
Mohammad Ataei Iran
Leonardo Acho Spain
Jiwen Zhao China
Qiyue Xie China
Alireza Khayatian Iran
Hongbing Xu China
Hugues Rafaralahy France
Gang Zhang China
Huijuan Zhang China
Chao‐Lin Kuo relative to Yuhua Cheng China Yuhua Cheng's profile →
Citations per field
00.5×3.4×
Yuhua Cheng · 1×
Citations per year

Countries citing papers authored by Chao‐Lin Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Lin Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200672
2 201062
3 201452
4 200749
5 201044
6 201544
7 201336
8 200130
9 201625
10 202124
11 201020
12 201619
13 202119
14 200214
15 201610
16 20068
17 20048
18 20198
19 20208
20 20137

About Chao‐Lin Kuo

Chao‐Lin Kuo is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 56 papers that have together received 665 indexed citations. Recurring topics across this work include Chaos control and synchronization (14 papers), Neural Networks and Applications (8 papers), Smart Grid Energy Management (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Chaos-based Image/Signal Encryption (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Electricity Theft Detection Techniques (5 papers) and Smart Grid Security and Resilience (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (152 citations), Control and Systems Engineering (228 citations), Computer Vision and Pattern Recognition (120 citations), Energy Engineering and Power Technology (15 citations) and Renewable Energy, Sustainability and the Environment (74 citations). Chao‐Lin Kuo has collaborated with scholars based in Taiwan and Yemen. Frequent co-authors include Chia‐Hung Lin, Her‐Terng Yau, Jun‐Juh Yan, Neng‐Sheng Pai, Cong‐Hui Huang, Jian‐Xing Wu, Chien‐Ming Li, Pi-Yun Chen, Tung‐Sheng Zhan and Cheng‐Chi Wang. Their work appears in journals such as IEEE Access, The Journal of Urology, IEEE Transactions on Smart Grid, IEEE Transactions on Power Delivery and International Journal of Nonlinear Sciences and Numerical Simulation.

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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