Shang‐Hung Lin

1.0k total citations
10 papers, 644 citations indexed

About

Shang‐Hung Lin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Shang‐Hung Lin has authored 10 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Shang‐Hung Lin's work include Face and Expression Recognition (6 papers), Face recognition and analysis (3 papers) and Neural Networks and Applications (3 papers). Shang‐Hung Lin is often cited by papers focused on Face and Expression Recognition (6 papers), Face recognition and analysis (3 papers) and Neural Networks and Applications (3 papers). Shang‐Hung Lin collaborates with scholars based in United States, Taiwan and Hong Kong. Shang‐Hung Lin's co-authors include Sun‐Yuan Kung, Long-Ji Lin, Man‐Wai Mak, Ming Fang, J.S. Taur, Yue Wang, Huai Li and Yap‐Peng Tan and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and Informing Science The International Journal of an Emerging Transdiscipline.

In The Last Decade

Shang‐Hung Lin

10 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shang‐Hung Lin United States	7	442	191	133	50	44	10	644
Mohammad‐Shahram Moin Iran	14	417 0.9×	184 1.0×	111 0.8×	70 1.4×	57 1.3×	72	657
Akisato Kimura Japan	14	380 0.9×	102 0.5×	183 1.4×	47 0.9×	43 1.0×	67	602
Yang Jing-yu China	8	406 0.9×	142 0.7×	133 1.0×	95 1.9×	17 0.4×	26	535
H.-Y.M. Liao Taiwan	14	971 2.2×	118 0.6×	83 0.6×	93 1.9×	37 0.8×	26	1.0k
Chokri Ben Amar Tunisia	16	603 1.4×	124 0.6×	132 1.0×	55 1.1×	46 1.0×	69	774
Alexander P. Pentland United States	7	856 1.9×	129 0.7×	111 0.8×	77 1.5×	14 0.3×	15	951
Guorong Xuan China	16	1.1k 2.4×	85 0.4×	137 1.0×	85 1.7×	22 0.5×	34	1.2k
K. N. Balasubramanya Murthy India	12	252 0.6×	79 0.4×	148 1.1×	48 1.0×	57 1.3×	68	538
Wan‐Lei Zhao China	16	830 1.9×	130 0.7×	201 1.5×	61 1.2×	46 1.0×	45	1000
Gaurav Aggarwal United States	15	547 1.2×	160 0.8×	70 0.5×	34 0.7×	27 0.6×	40	680

Countries citing papers authored by Shang‐Hung Lin

Since Specialization

Citations

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

Fields of papers citing papers by Shang‐Hung Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang‐Hung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Hung Lin. A scholar is included among the top collaborators of Shang‐Hung 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 Shang‐Hung Lin. Shang‐Hung Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Kung, Sun‐Yuan, Man‐Wai Mak, & Shang‐Hung Lin. (2004). Biometric Authentication: A Machine Learning Approach. CERN Document Server (European Organization for Nuclear Research). 86 indexed citations

2.

Kung, Sun‐Yuan, Shang‐Hung Lin, & Ming Fang. (2002). A neural network approach to face/palm recognition. 323–332. 31 indexed citations

3.

Lin, Shang‐Hung, et al.. (2002). Video shot classification using human faces. 3. 843–846. 5 indexed citations

4.

Lin, Shang‐Hung, Sun‐Yuan Kung, & Long-Ji Lin. (2002). A probabilistic DBNN with applications to sensor fusion and object recognition. 2. 333–342. 7 indexed citations

5.

Lin, Shang‐Hung, et al.. (2002). A probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing. 6. 3553–3556. 2 indexed citations

6.

Lin, Shang‐Hung & Sun‐Yuan Kung. (2002). Probabilistic DBNN via expectation-maximization with multi-sensor classification applications. Proceedings - International Conference on Image Processing. 3. 236–239. 2 indexed citations

7.

Lin, Shang‐Hung. (2000). An Introduction to Face Recognition Technology. Informing Science The International Journal of an Emerging Transdiscipline. 3. 1–7. 72 indexed citations

8.

Kung, Sun‐Yuan, J.S. Taur, & Shang‐Hung Lin. (1999). Synergistic modeling and applications of hierarchical fuzzy neural networks. Proceedings of the IEEE. 87(9). 1550–1574. 19 indexed citations

9.

Wang, Yue, et al.. (1998). Data mapping by probabilistic modular networks and information-theoretic criteria. IEEE Transactions on Signal Processing. 46(12). 3378–3397. 21 indexed citations

10.

Lin, Shang‐Hung, Sun‐Yuan Kung, & Long-Ji Lin. (1997). Face recognition/detection by probabilistic decision-based neural network. IEEE Transactions on Neural Networks. 8(1). 114–132. 399 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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