Chin‐Teng Lin

35.0k total citations · 9 hit papers
791 papers, 24.5k citations indexed

About

Chin‐Teng Lin is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin‐Teng Lin has authored 791 papers receiving a total of 24.5k indexed citations (citations by other indexed papers that have themselves been cited), including 281 papers in Cognitive Neuroscience, 230 papers in Artificial Intelligence and 141 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin‐Teng Lin's work include EEG and Brain-Computer Interfaces (242 papers), Neural Networks and Applications (125 papers) and Fuzzy Logic and Control Systems (103 papers). Chin‐Teng Lin is often cited by papers focused on EEG and Brain-Computer Interfaces (242 papers), Neural Networks and Applications (125 papers) and Fuzzy Logic and Control Systems (103 papers). Chin‐Teng Lin collaborates with scholars based in Taiwan, Australia and United States. Chin‐Teng Lin's co-authors include C.S.G. Lee, Chia‐Feng Juang, Tzyy‐Ping Jung, C. S. George Lee, Li‐Wei Ko, Mukesh Prasad, Zehong Cao, Sheng‐Fu Liang, Weiping Ding and Chun‐Hsiang Chuang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Chin‐Teng Lin

751 papers receiving 23.4k citations

Hit Papers

Neural fuzzy systems: a n... 1991 2026 2002 2014 1996 1991 2017 1998 2016 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chin‐Teng Lin 7.7k 6.8k 3.5k 3.0k 2.7k 791 24.5k
Hojjat Adeli 5.8k 0.7× 10.6k 1.6× 4.2k 1.2× 2.9k 1.0× 2.9k 1.1× 473 37.8k
Klaus‐Robert Müller 11.0k 1.4× 14.4k 2.1× 2.0k 0.6× 4.1k 1.4× 6.3k 2.3× 385 41.6k
Andrzej Cichocki 5.4k 0.7× 12.9k 1.9× 1.5k 0.4× 2.9k 1.0× 3.8k 1.4× 769 31.4k
Chih-Chung Chang 10.0k 1.3× 3.1k 0.5× 1.7k 0.5× 2.1k 0.7× 9.3k 3.4× 9 30.9k
Bin Hu 2.6k 0.3× 5.6k 0.8× 847 0.2× 2.6k 0.9× 2.1k 0.8× 748 16.6k
Yudong Zhang 8.8k 1.1× 1.7k 0.3× 1.2k 0.3× 1.9k 0.6× 8.2k 3.0× 1.0k 29.4k
Saeid Nahavandi 6.0k 0.8× 1.9k 0.3× 4.8k 1.3× 4.7k 1.6× 4.2k 1.5× 889 26.1k
Alex Graves 18.2k 2.4× 1.7k 0.2× 4.2k 1.2× 5.6k 1.8× 7.8k 2.9× 40 36.5k
Aapo Hyvärinen 6.2k 0.8× 8.8k 1.3× 2.1k 0.6× 1.1k 0.4× 4.1k 1.5× 186 26.5k
Marimuthu Palaniswami 4.1k 0.5× 1.6k 0.2× 1.8k 0.5× 3.8k 1.3× 2.8k 1.0× 532 21.2k

Countries citing papers authored by Chin‐Teng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Teng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin‐Teng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Teng Lin. A scholar is included among the top collaborators of Chin‐Teng 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 Chin‐Teng Lin. Chin‐Teng 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.
Liu, Dikai, et al.. (2025). Improving Trust Estimation in Human-Robot Collaboration Using Beta Reputation at Fine-Grained Timescales. IEEE Robotics and Automation Letters. 10(8). 8562–8569.
2.
Lin, Chin‐Teng, et al.. (2024). Integrating temporal deep learning models for predicting screen-out risk levels in hydraulic fracturing. Geoenergy Science and Engineering. 244. 213442–213442. 2 indexed citations
3.
Cao, Zhi, Ye Shi, Yu‐Cheng Chang, Xin Yao, & Chin‐Teng Lin. (2024). Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection. IEEE Transactions on Fuzzy Systems. 32(9). 5086–5097. 1 indexed citations
4.
Tanveer, M., et al.. (2024). Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications. IEEE Transactions on Fuzzy Systems. 32(9). 5348–5358. 1 indexed citations
6.
Leong, Daniel J., et al.. (2024). The Distinction Between Object Recognition and Object Identification in Brain Connectivity for Brain–Computer Interface Applications. IEEE Transactions on Cognitive and Developmental Systems. 17(1). 89–101. 1 indexed citations
7.
Chen, Hsiang‐Ting, et al.. (2024). Understanding the effects of stress on the P300 response during naturalistic simulation of heights exposure. PLoS ONE. 19(4). e0301052–e0301052. 3 indexed citations
8.
Huang, Junjie, et al.. (2023). Belief f-divergence for EEG complexity evaluation. Information Sciences. 643. 119189–119189. 9 indexed citations
9.
Ding, Weiping, Ying Sun, Jiashuang Huang, et al.. (2023). RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Information Sciences. 657. 120007–120007. 27 indexed citations
10.
Wang, Zhen, et al.. (2023). Cross task neural architecture search for EEG signal recognition. Neurocomputing. 545. 126260–126260. 8 indexed citations
11.
Tanveer, M., et al.. (2023). Ensemble deep learning in speech signal tasks: A review. Neurocomputing. 550. 126436–126436. 22 indexed citations
12.
Ding, Weiping, Haipeng Wang, Jiashuang Huang, et al.. (2023). FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. Information Fusion. 99. 101880–101880. 65 indexed citations
13.
Shi, Yuhui, et al.. (2022). Community Detection in Multiplex Networks Based on Evolutionary Multitask Optimization and Evolutionary Clustering Ensemble. IEEE Transactions on Evolutionary Computation. 27(3). 728–742. 18 indexed citations
14.
Tanveer, M., Reshma Rastogi, & Chin‐Teng Lin. (2021). Advanced machine learning algorithms for biomedical data and imaging. Multimedia Tools and Applications. 80(20). 30005–30005. 1 indexed citations
15.
Zhang, Xiao, Dongrui Wu, Lieyun Ding, et al.. (2021). Tiny noise, big mistakes: Adversarial perturbations induce errors in \n Brain-Computer Interface spellers. UTS ePRESS (University of Technology Sydney). 49 indexed citations
16.
Gu, Xiaotong, Zehong Cao, Alireza Jolfaei, et al.. (2021). EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies \n on Signal Sensing Technologies and Computational Intelligence Approaches and \n their Applications. UTS ePRESS (University of Technology Sydney). 227 indexed citations breakdown →
17.
Lin, Chin‐Teng, et al.. (2020). CircRNA SMARCC1 Sponges MiR-140-3p to Regulate Cell Progression in Colorectal Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Cao, Zehong, Yu‐Cheng Chang, Mukesh Prasad, M. Tanveer, & Chin‐Teng Lin. (2019). Tensor decomposition for EEG signals retrieval. UTAS Research Repository. 1 indexed citations
19.
Chen, Dar‐Ren, et al.. (2019). Overexpressing CCT6A Contributes To Cancer Cell Growth By Affecting The G1-To-S Phase Transition And Predicts A Negative Prognosis In Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Y, Li, et al.. (2016). Local delivery of controlled-release simvastatin to improve the biocompatibility of polyethylene terephthalate artificial ligaments for reconstruction of the anterior cruciate ligament. SHILAP Revista de lepidopterología. 1 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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