Tai-Ning Yang
Impact in
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
Papers in
-
- Biometric Identification and Security 7
-
- Artificial Intelligence in Games 6
- Advanced Clustering Algorithms Research 2
- Co-authors
- Sheng‐De Wang (4 shared papers)Min-Ren Yan (3 shared papers)Chia‐Lin Hsu (2 shared papers)Shi-Jim Yen (6 shared papers)Sin‐Jin Lin (1 shared paper)Chun‐Jung Chen (5 shared papers)José Marcos Moreno-Vega (1 shared paper)Tzu‐Yin Chen (1 shared paper)
In The Last Decade
Tai-Ning Yang
28 papers receiving 480 citations
Peers
Comparison fields: 5 of 70
- Marketing 51
- Computational Mathematics 3
- Strategy and Management 67
- Management of Technology and Innovation 30
- Information Systems and Management 30
Countries citing papers authored by Tai-Ning Yang
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
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-authors
The 9 scholars most cited alongside Tai-Ning Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 91 | |
| 2 | 2017 | 69 | |
| 3 | 1999 | 58 | |
| 4 | 2016 | 53 | |
| 5 | 2018 | 44 | |
| 6 | 2018 | 40 | |
| 7 | 2004 | 35 | |
| 8 | 2011 | 17 | |
| 9 | 2009 | 16 | |
| 10 | 2012 | 16 | |
| 11 | 2001 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2000 | 12 | |
| 14 | 2003 | 7 | |
| 15 | 2007 | 6 | |
| 16 | 2010 | 5 | |
| 17 | Singular Points and Minutiae Detection in Fingerprint Images Using Principal Gabor Basis Functions. | 2006 | 3 |
| 18 | Combining Gradientfaces, principal component analysis, and Fisher linear discriminant for face recognition | 2010 | 3 |
| 19 | 2013 | 3 | |
| 20 | 2007 | 2 |
About Tai-Ning Yang
Tai-Ning Yang is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Strategy and Management, having authored 32 papers that have together received 521 indexed citations. Recurring topics across this work include Biometric Identification and Security (7 papers), Artificial Intelligence in Games (6 papers), Advanced Clustering Algorithms Research (2 papers), Simulation Techniques and Applications (2 papers), Face and Expression Recognition (2 papers), VLSI and FPGA Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Efficiency Analysis Using DEA (1 paper). The work is most often cited by research in Marketing (51 citations), Computational Mathematics (3 citations), Strategy and Management (67 citations), Management of Technology and Innovation (30 citations) and Information Systems and Management (30 citations). Tai-Ning Yang has collaborated with scholars based in Taiwan, Germany and Spain. Frequent co-authors include Sheng‐De Wang, Min-Ren Yan, Chia‐Lin Hsu, Shi-Jim Yen, Sin‐Jin Lin, Chun‐Jung Chen, José Marcos Moreno-Vega, Tzu‐Yin Chen and Chun‐Jung Chen. Their work appears in journals such as Pattern Recognition Letters, Sustainability, Fuzzy Sets and Systems, Knowledge-Based Systems and Telematics and Informatics.
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.