Shih-Syun Lin

867 total citations
42 papers, 634 citations indexed

About

Shih-Syun Lin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications. According to data from OpenAlex, Shih-Syun Lin has authored 42 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Computer Networks and Communications. Recurrent topics in Shih-Syun Lin's work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). Shih-Syun Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). Shih-Syun Lin collaborates with scholars based in Taiwan, Philippines and China. Shih-Syun Lin's co-authors include Tong‐Yee Lee, Chao‐Hung Lin, Yi‐Zeng Hsieh, Min‐Chun Hu, Naomi A. Ubina, Shyi‐Chyi Cheng, Christine Engstrom, Howard I. Scher, Pei-Ying Chiang and Tracy Curley and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Sensors.

In The Last Decade

Shih-Syun Lin

38 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shih-Syun Lin Taiwan 15 304 80 63 58 48 42 634
Iza Sazanita Isa Malaysia 13 205 0.7× 26 0.3× 34 0.5× 79 1.4× 180 3.8× 89 608
I Ketut Eddy Purnama Indonesia 16 308 1.0× 122 1.5× 24 0.4× 44 0.8× 220 4.6× 187 996
T Anjali India 14 131 0.4× 55 0.7× 21 0.3× 29 0.5× 94 2.0× 117 554
Erkan Bostancı Türkiye 17 279 0.9× 111 1.4× 27 0.4× 22 0.4× 187 3.9× 91 777
Osslan Osíris Vergara Villegas Mexico 13 213 0.7× 50 0.6× 148 2.3× 49 0.8× 126 2.6× 68 590
Xiang Xie China 18 323 1.1× 19 0.2× 48 0.8× 63 1.1× 89 1.9× 136 1.2k
Tausif Diwan India 9 374 1.2× 58 0.7× 18 0.3× 65 1.1× 356 7.4× 26 1.2k
K. Lakshmi Narayanan India 16 104 0.3× 89 1.1× 17 0.3× 21 0.4× 77 1.6× 63 737
Abdulaziz S. Almazyad Saudi Arabia 13 184 0.6× 77 1.0× 9 0.1× 38 0.7× 166 3.5× 67 560
Xinran Yu China 14 203 0.7× 28 0.3× 29 0.5× 125 2.2× 93 1.9× 52 982

Countries citing papers authored by Shih-Syun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Syun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Syun 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 Shih-Syun Lin. The network helps show where Shih-Syun Lin may publish in the future.

Co-authorship network of co-authors of Shih-Syun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Syun Lin. A scholar is included among the top collaborators of Shih-Syun 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 Shih-Syun Lin. Shih-Syun 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.
Lee, Tong‐Yee, et al.. (2024). Deep learning-based importance map for content-aware media retargeting. Multimedia Tools and Applications. 83(30). 74301–74322. 1 indexed citations
2.
Ubina, Naomi A., et al.. (2023). Digital Twin-Based Intelligent Fish Farming with Artificial Intelligence Internet of Things (Aiot). SSRN Electronic Journal. 8 indexed citations
3.
Chuang, Chun‐Hsiang, et al.. (2023). Coupling Mobile Brain Imaging and Virtual Reality Omnidirectional Treadmill to Explore Attenuated Situational Awareness During Distracted Walking. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 1063–1076. 3 indexed citations
4.
Hsieh, Yi‐Zeng, et al.. (2023). The development of assisted- visually impaired people robot in the indoor environment based on deep learning. Multimedia Tools and Applications. 83(3). 6555–6578.
5.
Ubina, Naomi A., et al.. (2023). Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT). SHILAP Revista de lepidopterología. 5. 100285–100285. 33 indexed citations
6.
Zhao, Yu‐Xiang, Yi‐Zeng Hsieh, & Shih-Syun Lin. (2021). The Development of an Identification Photo Booth System based on a Deep Learning Automatic Image Capturing Method. Journal of Imaging Science and Technology. 65(2). 20403–1.
7.
Zhao, Yu‐Xiang, et al.. (2021). The Wearable Physical Fitness Training Device Based on Fuzzy Theory. Applied Sciences. 11(21). 9976–9976. 4 indexed citations
8.
Zhao, Yu‐Xiang, et al.. (2020). Design of an IoT-Based Mountaineering Team Management Device Using Kalman Filter Algorithm. 網際網路技術學刊. 21(7). 2085–2093. 2 indexed citations
9.
10.
Hsieh, Yi‐Zeng, et al.. (2020). The Real-Time Depth Estimation for an Occluded Person Based on a Single Image and OpenPose Method. Mathematics. 8(8). 1333–1333. 22 indexed citations
11.
Lin, Shih-Syun, et al.. (2019). Animation Video Resequencing with a Convolutional AutoEncoder. 1–2. 2 indexed citations
12.
Pai, Tun‐Wen, et al.. (2017). Construction of a Metadata Schema for Medical Data in Networking Applications. 597–600. 2 indexed citations
13.
Pai, Tun‐Wen, et al.. (2016). Application of PrefixSpan Algorithms for Disease Pattern Analysis. 15. 274–278.
14.
15.
Lin, Shih-Syun, Chao‐Hung Lin, Yu-Hsuan Kuo, & Tong‐Yee Lee. (2015). Consistent Volumetric Warping Using Floating Boundaries for Stereoscopic Video Retargeting. IEEE Transactions on Circuits and Systems for Video Technology. 26(5). 801–813. 18 indexed citations
16.
Lin, Shih-Syun, et al.. (2014). Drawing Road Networks with Mental Maps. IEEE Transactions on Visualization and Computer Graphics. 20(9). 1241–1252. 12 indexed citations
17.
Lin, Shih-Syun, et al.. (2013). Object-Coherence Warping for Stereoscopic Image Retargeting. IEEE Transactions on Circuits and Systems for Video Technology. 24(5). 759–768. 35 indexed citations
18.
Lin, Shih-Syun, et al.. (2013). Content-Aware Video Retargeting Using Object-Preserving Warping. IEEE Transactions on Visualization and Computer Graphics. 19(10). 1677–1686. 31 indexed citations
19.
Lin, Shih-Syun, et al.. (2012). Patch-Based Image Warping for Content-Aware Retargeting. IEEE Transactions on Multimedia. 15(2). 359–368. 80 indexed citations
20.
Lin, Shih-Syun. (2002). Stress analysis of upsetting with concave curve dies. Journal of Materials Processing Technology. 123(1). 36–41. 3 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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2026