Tai-Ning Yang

636 total citations
33 papers, 450 citations indexed

About

Tai-Ning Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tai-Ning Yang has authored 33 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Tai-Ning Yang's work include Biometric Identification and Security (7 papers), Artificial Intelligence in Games (5 papers) and Face and Expression Recognition (4 papers). Tai-Ning Yang is often cited by papers focused on Biometric Identification and Security (7 papers), Artificial Intelligence in Games (5 papers) and Face and Expression Recognition (4 papers). Tai-Ning Yang collaborates with scholars based in Taiwan, United States and Spain. Tai-Ning Yang's co-authors include Sheng‐De Wang, Min-Ren Yan, Chia‐Lin Hsu, Shi-Jim Yen, Sin‐Jin Lin, Chun‐Jung Chen, Chun‐Jung Chen, J. Marcos Moreno‐Vega, Miao Yin and Li-Ping Chou and has published in prestigious journals such as Fuzzy Sets and Systems, Sustainability and Knowledge-Based Systems.

In The Last Decade

Tai-Ning Yang

27 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai-Ning Yang Taiwan 12 156 107 81 77 74 33 450
Qiqi Jiang China 12 180 1.2× 90 0.8× 89 1.1× 59 0.8× 24 0.3× 34 467
Octavian Dospinescu Romania 14 149 1.0× 104 1.0× 101 1.2× 66 0.9× 29 0.4× 44 514
William E. Hefley United States 13 64 0.4× 77 0.7× 35 0.4× 71 0.9× 40 0.5× 53 542
Catherine Marinagi Greece 13 64 0.4× 52 0.5× 77 1.0× 43 0.6× 15 0.2× 27 545
Kyung Jin South Korea 10 110 0.7× 95 0.9× 61 0.8× 75 1.0× 60 0.8× 31 422
Mousa Al-kfairy United Arab Emirates 14 67 0.4× 40 0.4× 95 1.2× 105 1.4× 22 0.3× 56 502
Yang Sok Kim South Korea 10 93 0.6× 89 0.8× 79 1.0× 135 1.8× 64 0.9× 35 428
Jaehun Joo South Korea 16 253 1.6× 177 1.7× 118 1.5× 80 1.0× 25 0.3× 54 733
Sung-Shun Weng Taiwan 14 75 0.5× 76 0.7× 37 0.5× 142 1.8× 52 0.7× 29 563
Александра Лабус Serbia 13 81 0.5× 31 0.3× 57 0.7× 43 0.6× 30 0.4× 49 470

Countries citing papers authored by Tai-Ning Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tai-Ning Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Ning Yang. 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 Tai-Ning Yang. The network helps show where Tai-Ning Yang may publish in the future.

Co-authorship network of co-authors of Tai-Ning Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai-Ning Yang. A scholar is included among the top collaborators of Tai-Ning Yang 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 Tai-Ning Yang. Tai-Ning Yang 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
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Yang, Tai-Ning, et al.. (2024). SeqBench: A Benchmark Suite for Lossless and Lossy Compression of Sequence Data. 1–7. 1 indexed citations
4.
Hsu, Chia‐Lin, et al.. (2018). Does product design matter? Exploring its influences in consumers’ psychological responses and brand loyalty. Information Technology and People. 31(3). 886–907. 32 indexed citations
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Yan, Min-Ren, et al.. (2018). Evaluating the Collaborative Ecosystem for an Innovation-Driven Economy: A Systems Analysis and Case Study of Science Parks. Sustainability. 10(3). 887–887. 43 indexed citations
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Hsu, Chia‐Lin, et al.. (2017). Do website features matter in an online gamification context? Focusing on the mediating roles of user experience and attitude. Telematics and Informatics. 34(4). 196–205. 59 indexed citations
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Yang, Tai-Ning. (2012). The Decision Behavior of Facebook Users. Journal of Computer Information Systems. 52(3). 50–59. 85 indexed citations
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Yang, Tai-Ning, et al.. (2010). Fingerprint identification using local Gabor filters. 626–631. 1 indexed citations
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Chen, Tzu‐Yin, et al.. (2010). Combining Gradientfaces, principal component analysis, and Fisher linear discriminant for face recognition. 622–625. 2 indexed citations
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Yen, Shi-Jim, et al.. (2010). A Simple and Rapid Lights-up Solver. 440–443. 4 indexed citations
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Yang, Tai-Ning, et al.. (2010). M-eval: A Multivariate Evaluation Function for Opening Positions in Computer Go. 9. 474–480. 2 indexed citations
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Yang, Tai-Ning, et al.. (2009). Singular Point Detection in Fingerprint Images by a Bank of Discrete Fourier Filters. 1. 250–253. 1 indexed citations
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Yang, Tai-Ning, et al.. (2009). Fuzzy objective functions for robust pattern recognition. 2057–2062. 12 indexed citations
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Yang, Tai-Ning, et al.. (2008). Singular points detection in fingerprint images using Gabor transform. 1. 2078–2081. 1 indexed citations
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Yang, Tai-Ning, et al.. (2006). Singular Points and Minutiae Detection in Fingerprint Images Using Principal Gabor Basis Functions.. IPCV. 29–34. 3 indexed citations
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Yen, Shi-Jim, et al.. (2004). COMPUTER CHINESE CHESS. ICGA Journal. 27(1). 3–18. 25 indexed citations
20.
Yang, Tai-Ning & Sheng‐De Wang. (2000). Fuzzy auto-associative neural networks for principal component extraction of noisy data. IEEE Transactions on Neural Networks. 11(3). 808–810. 12 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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