Chih‐Min Lin

1.3k total citations
71 papers, 1.0k citations indexed

About

Chih‐Min Lin is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chih‐Min Lin has authored 71 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Control and Systems Engineering, 37 papers in Artificial Intelligence and 18 papers in Computer Networks and Communications. Recurrent topics in Chih‐Min Lin's work include Neural Networks and Applications (28 papers), Adaptive Control of Nonlinear Systems (23 papers) and Fuzzy Logic and Control Systems (17 papers). Chih‐Min Lin is often cited by papers focused on Neural Networks and Applications (28 papers), Adaptive Control of Nonlinear Systems (23 papers) and Fuzzy Logic and Control Systems (17 papers). Chih‐Min Lin collaborates with scholars based in Taiwan, China and Vietnam. Chih‐Min Lin's co-authors include Yi‐Jen Mon, Tuân-Tú Huỳnh, Tien-Loc Le, Fei Chao, Chun‐Fei Hsu, Longzhi Yang, Changle Zhou, Changjing Shang, Liyang Chen and Daniel Yeung and has published in prestigious journals such as Optics Express, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chih‐Min Lin

69 papers receiving 994 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chih‐Min Lin Taiwan 19 547 380 170 143 131 71 1.0k
Tuân-Tú Huỳnh Vietnam 19 419 0.8× 411 1.1× 202 1.2× 181 1.3× 188 1.4× 52 1.1k
Jakub Pachocki United States 7 530 1.0× 531 1.4× 58 0.3× 234 1.6× 79 0.6× 13 1.1k
Binghuang Cai China 18 498 0.9× 231 0.6× 37 0.2× 167 1.2× 68 0.5× 44 990
Howard M. Schwartz Canada 18 580 1.1× 321 0.8× 258 1.5× 140 1.0× 46 0.4× 129 1.2k
Nikolai Matni United States 16 690 1.3× 173 0.5× 193 1.1× 67 0.5× 62 0.5× 86 1.1k
Anssi Kanervisto Finland 7 218 0.4× 349 0.9× 102 0.6× 190 1.3× 23 0.2× 9 869
Guanzheng Tan China 15 177 0.3× 344 0.9× 117 0.7× 309 2.2× 22 0.2× 87 952
Adam Gleave United Kingdom 5 215 0.4× 293 0.8× 205 1.2× 129 0.9× 22 0.2× 8 864
Maximilian Ernestus Germany 3 213 0.4× 282 0.7× 113 0.7× 115 0.8× 22 0.2× 3 755
Ashley Hill France 4 221 0.4× 281 0.7× 98 0.6× 121 0.8× 22 0.2× 7 759

Countries citing papers authored by Chih‐Min Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chih‐Min Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Min Lin. A scholar is included among the top collaborators of Chih‐Min Lin 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 Chih‐Min Lin. Chih‐Min Lin 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
1.
Lin, Chih‐Min, et al.. (2024). Intelligent Control System Design for Nonlinear Systems Using an Improved TSK Wavelet Type-2 Fuzzy Brain Emotional Controller. International Journal of Fuzzy Systems. 26(8). 2632–2645. 3 indexed citations
2.
Lin, Chih‐Min, et al.. (2024). Fractional Order T–S Fuzzy Chaotic Models for Secure EEG Signal via a Wireless Communication Protocol Using a Disturbance Observer and Sliding Mode Control Technique. International Journal of Fuzzy Systems. 26(6). 1897–1915. 6 indexed citations
3.
Nguyen, Quang Dich, et al.. (2023). Wireless Secure Communication of Chaotic Systems Based on Takagi–Sugeno Fuzzy Optimal Time Varying Disturbance Observer and Sliding Mode Control. International Journal of Fuzzy Systems. 25(7). 2519–2533. 11 indexed citations
4.
Mansour, Anthony G., Kun‐Yu Teng, Zheng Zhu, et al.. (2023). Off-the-shelf CAR–engineered natural killer cells targeting FLT3 enhance killing of acute myeloid leukemia. Blood Advances. 7(20). 6225–6239. 27 indexed citations
5.
Huỳnh, Tuân-Tú, et al.. (2023). Fault-Tolerant Control for Robotic Systems Using a Wavelet Type-2 Fuzzy Brain Emotional Learning Controller and a TOPSIS-Based Self-organizing Algorithm. International Journal of Fuzzy Systems. 25(5). 1727–1741. 5 indexed citations
6.
Lin, Chih‐Min, et al.. (2022). Fuzzy Hybrid Neural Network Control for Uncertainty Nonlinear Systems Based on Enhancement Search Algorithm. International Journal of Fuzzy Systems. 24(8). 3384–3402. 2 indexed citations
7.
Le, Tien-Loc, Tuân-Tú Huỳnh, Sung-Kyung Hong, & Chih‐Min Lin. (2020). Hybrid Neural Network Cerebellar Model Articulation Controller Design for Non-linear Dynamic Time-Varying Plants. Frontiers in Neuroscience. 14. 695–695. 4 indexed citations
8.
Le, Tien-Loc, Tuân-Tú Huỳnh, Nguyen Vu Quynh, Chih‐Min Lin, & Sung-Kyung Hong. (2020). Chaotic Synchronization Using a Self-Evolving Recurrent Interval Type-2 Petri Cerebellar Model Articulation Controller. Mathematics. 8(2). 219–219. 13 indexed citations
9.
Chao, Fei, et al.. (2019). An Improved Fuzzy Brain Emotional Learning Model Network Controller for Humanoid Robots. Frontiers in Neurorobotics. 13. 2–2. 23 indexed citations
10.
Zhao, Jing, Chih‐Min Lin, & Fei Chao. (2019). Wavelet Fuzzy Brain Emotional Learning Control System Design for MIMO Uncertain Nonlinear Systems. Frontiers in Neuroscience. 12. 918–918. 23 indexed citations
11.
Le, Tien-Loc, Tuân-Tú Huỳnh, & Chih‐Min Lin. (2019). Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network. Neural Computing and Applications. 32(12). 8725–8734. 17 indexed citations
12.
Zhong, Zhixiong & Chih‐Min Lin. (2017). Large-Scale Fuzzy Interconnected Control Systems Design and Analysis. 1 indexed citations
13.
Lin, Chih‐Min, et al.. (2016). Breast Tumor Computer-aided Diagnosis using Self-Validating Cerebellar Model Neural Networks. Acta Polytechnica Hungarica. 13(4). 19 indexed citations
14.
Lin, Chih‐Min, Mingshu Yang, Fei Chao, Xiao-Min Hu, & Jun Zhang. (2015). Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller. IEEE Transactions on Neural Networks and Learning Systems. 27(10). 2084–2094. 29 indexed citations
15.
Mon, Yi‐Jen, et al.. (2013). ANFIS-based Wireless Sensor Network (WSN) Applications for Air Conditioner Control. Acta Polytechnica Hungarica. 10(3). 3 indexed citations
16.
Mon, Yi‐Jen & Chih‐Min Lin. (2013). Supervisory Fuzzy Gaussian Neural Network Design for Mobile Robot Path Control. International Journal of Fuzzy Systems. 15(2). 142–148. 6 indexed citations
17.
Mon, Yi‐Jen, Chih‐Min Lin, & Imre J. Rudas. (2013). ANFIS-based Wireless Sensor Network (WSN) Applications for Air Conditioner Control. Acta Polytechnica Hungarica. 10(3). 5–16. 4 indexed citations
18.
Lin, Chih‐Min, Liyang Chen, & Daniel Yeung. (2010). Adaptive Filter Design Using Recurrent Cerebellar Model Articulation Controller. IEEE Transactions on Neural Networks. 21(7). 1149–1157. 29 indexed citations
19.
Lin, Chih‐Min, et al.. (2007). Robust Fault-Tolerant Control for a Biped Robot Using a Recurrent Cerebellar Model Articulation Controller. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(1). 110–123. 46 indexed citations
20.
Lin, Chih‐Min & Chun‐Fei Hsu. (2002). Identification of dynamic systems using recurrent fuzzy neural network. 5. 2671–2675. 5 indexed citations

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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