Ja‐Chen Lin

2.0k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Ja‐Chen Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ja‐Chen Lin has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ja‐Chen Lin's work include Advanced Data Compression Techniques (6 papers), Face and Expression Recognition (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Ja‐Chen Lin is often cited by papers focused on Advanced Data Compression Techniques (6 papers), Face and Expression Recognition (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). Ja‐Chen Lin collaborates with scholars based in Taiwan. Ja‐Chen Lin's co-authors include Hong-Yuan Mark Liao, Li‐Fen Chen, Ming‐Tat Ko, Gwo‐Jong Yu, Wen‐Hsiang Tsai, Chin‐Chuan Han, Chun-Shien Lu, H.-Y.M. Liao and Chia‐Hua Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Communications and Pattern Recognition.

In The Last Decade

Ja‐Chen Lin

16 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new LDA-based face recognition system which can solve the small sample size problem

2000 1.0k citations Li‐Fen Chen, Hong-Yuan Mark Liao et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ja‐Chen Lin Taiwan	8	1.3k	327	299	224	105	17	1.4k
Baozong Yuan China	12	866 0.7×	162 0.5×	237 0.8×	148 0.7×	69 0.7×	120	1.2k
Baback Moghaddam United States	15	1.0k 0.8×	291 0.9×	208 0.7×	110 0.5×	38 0.4×	28	1.3k
D.L. Swets United States	7	1.2k 0.9×	313 1.0×	229 0.8×	244 1.1×	98 0.9×	9	1.4k
S.Z. Li China	15	1.3k 1.0×	290 0.9×	180 0.6×	197 0.9×	25 0.2×	31	1.5k
Irwin Hersey	3	1.6k 1.2×	81 0.2×	255 0.9×	376 1.7×	105 1.0×	5	1.9k
M.J. Black United States	13	1.5k 1.2×	131 0.4×	193 0.6×	411 1.8×	27 0.3×	16	1.8k
S. Oraintara United States	20	808 0.6×	496 1.5×	79 0.3×	284 1.3×	41 0.4×	90	1.2k
M. Shridhar Canada	23	1.8k 1.4×	147 0.4×	630 2.1×	670 3.0×	24 0.2×	140	2.2k
Wai-Kuen Cham Hong Kong	18	965 0.8×	190 0.6×	54 0.2×	337 1.5×	40 0.4×	71	1.2k

Countries citing papers authored by Ja‐Chen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Ja‐Chen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ja‐Chen Lin

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

All Works

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17 of 17 papers shown

Wu, Chia‐Hua, et al.. (2017). All-in-one visual and computer decoding of multiple secrets: translated-flip VC with polynomial-style sharing. Optical Engineering. 56(6). 63106–63106. 1 indexed citations

Lin, Ja‐Chen, et al.. (2013). Fast K-means clustering using deletion by center displacement and norms product (CDNP). Pattern Recognition and Image Analysis. 23(2). 199–206. 3 indexed citations

Lin, Ja‐Chen, et al.. (2008). Visual Cryptography (VC) with non-expanded shadow images: Hilbert-curve approach. 950. 271–272. 6 indexed citations

Lin, Ja‐Chen, et al.. (2006). 3-D Shape Retrieval Using Cognitive Psychology-based Principles. 287–294. 4 indexed citations

Liao, H.-Y.M., et al.. (2005). Fragile watermarking for authenticating 3-D polygonal meshes. IEEE Transactions on Multimedia. 7(6). 997–1006. 54 indexed citations

Lin, Ja‐Chen, et al.. (2003). An image-sharing method with user-friendly shadow images. IEEE Transactions on Circuits and Systems for Video Technology. 13(12). 1161–1169. 137 indexed citations

Lin, Ja‐Chen, et al.. (2002). Color quantization by RWM-cut. 2. 669–672. 2 indexed citations

Chen, Li‐Fen, Hong-Yuan Mark Liao, Ja‐Chen Lin, & Chin‐Chuan Han. (2001). Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof. Pattern Recognition. 34(7). 1393–1403. 57 indexed citations

Lin, Ja‐Chen, et al.. (2000). Fast VQ encoding by an efficient kick-out condition. IEEE Transactions on Circuits and Systems for Video Technology. 10(1). 59–62. 45 indexed citations

10.

Chen, Li‐Fen, Hong-Yuan Mark Liao, Ming‐Tat Ko, Ja‐Chen Lin, & Gwo‐Jong Yu. (2000). A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition. 33(10). 1713–1726. 1034 indexed citations breakdown →

11.

Lin, Ja‐Chen, et al.. (1999). Color quantization by preserving color distribution features. Signal Processing. 78(2). 201–214. 5 indexed citations

12.

Lin, Ja‐Chen, et al.. (1997). Color image compression by moment-preserving and block truncation coding techniques. IEEE Transactions on Communications. 45(12). 1513–1516. 27 indexed citations

13.

Lin, Ja‐Chen, et al.. (1996). RWM-cut for color image quantization. Computers & Graphics. 20(4). 577–588. 38 indexed citations

14.

Lin, Ja‐Chen, et al.. (1996). Real-time and automatic two-class clustering by analytical formulas. Pattern Recognition. 29(11). 1919–1930.

15.

Lin, Ja‐Chen, et al.. (1996). An efficient nearest neighbor searching algorithm with application to LBG codebook generation. Journal of the Chinese Institute of Engineers. 19(6). 719–724. 1 indexed citations

16.

Lin, Ja‐Chen. (1996). A simplified fold number detector for shapes with monotonic radii. Pattern Recognition. 29(6). 997–1005. 3 indexed citations

17.

Lin, Ja‐Chen & Wen‐Hsiang Tsai. (1994). Feature-preserving clustering of 2-D data for two-class problems using analytical formulas: an automatic and fast approach. IEEE Transactions on Pattern Analysis and Machine Intelligence. 16(5). 554–560. 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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