Jau-Ling Shih

789 total citations
32 papers, 585 citations indexed

About

Jau-Ling Shih is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jau-Ling Shih has authored 32 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 10 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jau-Ling Shih's work include 3D Shape Modeling and Analysis (14 papers), Image Processing and 3D Reconstruction (10 papers) and Image Retrieval and Classification Techniques (10 papers). Jau-Ling Shih is often cited by papers focused on 3D Shape Modeling and Analysis (14 papers), Image Processing and 3D Reconstruction (10 papers) and Image Retrieval and Classification Techniques (10 papers). Jau-Ling Shih collaborates with scholars based in Taiwan. Jau-Ling Shih's co-authors include Chang-Hsing Lee, Kun-Ming Yu, Chin‐Chuan Han, Cheng‐Chang Lien, Chih-Hsun Chou, Hongyu Chen, Ling‐Hwei Chen, Wenchang Wang, Pau‐Choo Chung and Yuchen Wang and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Electronics Letters.

In The Last Decade

Jau-Ling Shih

28 papers receiving 550 citations

Peers

Jau-Ling Shih
Levi Valgaerts Germany
T. Theoharis Greece
G. Passalis United States
Peter Sand United States
Luc J. Van Gool Belgium
Sébastien Lasserre France
Vladyslav Zakharchenko United States
G. Guy United States
John Isidoro United States
Dongqing Zou China
Levi Valgaerts Germany
Jau-Ling Shih
Citations per year, relative to Jau-Ling Shih Jau-Ling Shih (= 1×) peers Levi Valgaerts

Countries citing papers authored by Jau-Ling Shih

Since Specialization
Citations

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

Fields of papers citing papers by Jau-Ling Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jau-Ling Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Jau-Ling Shih. A scholar is included among the top collaborators of Jau-Ling Shih 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 Jau-Ling Shih. Jau-Ling Shih 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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Liu, Cheng‐Hsien, Chang-Hsing Lee, Jau-Ling Shih, & Chin‐Chuan Han. (2019). A Color Image Representation Approach for Content-Based Image Retrieval. 1. 45–53. 2 indexed citations
4.
Han, Chin‐Chuan, et al.. (2018). The Assistance for Drug Dispensing Using LED Notification and IR Sensor-based Monitoring Methods. 30. 264–267. 1 indexed citations
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Shih, Jau-Ling, et al.. (2017). Three-Dimensional Model Retrieval Using Dynamic Multi-Descriptor Fusion. Journal of Electronic Science and Technology. 15(2). 169–177. 1 indexed citations
6.
Lee, Chang-Hsing, et al.. (2017). 3D model retrieval using 2D cepstral descriptor of overlapping subbands. 5. 276–279. 1 indexed citations
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Hsieh, Cheng-Ta, Jau-Ling Shih, Chang-Hsing Lee, Chin‐Chuan Han, & Kuo‐Chin Fan. (2015). 3D model retrieval using multiple features and manifold ranking. 5. 7–10. 2 indexed citations
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Lee, Chang-Hsing, et al.. (2013). Combination of Variant 2D Cepstral Features for 3D Model Retrieval. 205–211. 1 indexed citations
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Lee, Chang-Hsing, Jau-Ling Shih, Cheng‐Chang Lien, & Chin‐Chuan Han. (2013). Adaptive Multiscale Retinex for Image Contrast Enhancement. 43–50. 95 indexed citations
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Lee, Chang-Hsing, et al.. (2012). Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features. IEEE Transactions on Multimedia. 15(2). 454–464. 50 indexed citations
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Shih, Jau-Ling, et al.. (2011). A 3D Model Retrieval Approach Based on the Combination of PCA Plane Projections. 5(2). 46–56. 6 indexed citations
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Shih, Jau-Ling, et al.. (2010). A 3D Model Retrieval System Based on the Cylindrical Projection Descriptor. 550–555. 1 indexed citations
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Shih, Jau-Ling, et al.. (2009). A 3D Model Retrieval System Based On The Derivative Radial Distance. 1 indexed citations
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Shih, Jau-Ling & Hongyu Chen. (2008). A 3D model retrieval approach using the interior and exterior 3D shape information. Multimedia Tools and Applications. 43(1). 45–62. 25 indexed citations
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Shih, Jau-Ling & Chih‐Hao Chen. (2006). Video Object Retrieval using Color Features.. International MultiConference of Engineers and Computer Scientists. 568–573. 1 indexed citations
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Shih, Jau-Ling. (2006). 3D model retrieval based on Grid Sphere and Dodecahedral Silhouette Descriptors. Advances in intelligent systems research. 3 indexed citations
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Shih, Jau-Ling, et al.. (2006). Automatic Classification of Musical Audio Signals. 1(2). 95–105.
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Shih, Jau-Ling & Ling‐Hwei Chen. (2002). A CONTEXT-BASED APPROACH FOR COLOR IMAGE RETRIEVAL. International Journal of Pattern Recognition and Artificial Intelligence. 16(2). 239–255. 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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