Lin‐Yu Tseng

2.0k total citations
68 papers, 1.5k citations indexed

About

Lin‐Yu Tseng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Lin‐Yu Tseng has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Lin‐Yu Tseng's work include Metaheuristic Optimization Algorithms Research (11 papers), Handwritten Text Recognition Techniques (10 papers) and Scheduling and Optimization Algorithms (7 papers). Lin‐Yu Tseng is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Handwritten Text Recognition Techniques (10 papers) and Scheduling and Optimization Algorithms (7 papers). Lin‐Yu Tseng collaborates with scholars based in Taiwan, United States and Slovakia. Lin‐Yu Tseng's co-authors include Chun Chen, Shih‐Chieh Chen, Tuan‐Yung Han, Chun Chen, Min‐Shiang Hwang, Hsuan‐Hung Lin, Ren-Hao Pan, Jeen‐Sheen Row, Daniel R. Brown and Yuan-Nian Hsu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and European Journal of Operational Research.

In The Last Decade

Lin‐Yu Tseng

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin‐Yu Tseng Taiwan 22 561 353 350 293 136 68 1.5k
Keld Helsgaun Denmark 7 570 1.0× 399 1.1× 934 2.7× 216 0.7× 65 0.5× 11 1.6k
Laëtitia Jourdan France 16 536 1.0× 118 0.3× 374 1.1× 306 1.0× 44 0.3× 71 1.2k
Yiwen Zhong China 16 517 0.9× 138 0.4× 279 0.8× 207 0.7× 83 0.6× 91 926
Carlos García‐Martínez Spain 18 866 1.5× 92 0.3× 380 1.1× 587 2.0× 83 0.6× 44 1.4k
Xiaofang Liu China 24 825 1.5× 136 0.4× 210 0.6× 524 1.8× 130 1.0× 86 2.4k
Isao Ono Japan 19 850 1.5× 86 0.2× 237 0.7× 629 2.1× 164 1.2× 103 1.7k
Xuewen Xia China 20 993 1.8× 168 0.5× 134 0.4× 569 1.9× 105 0.8× 78 1.5k
C. K. Wong United States 23 358 0.6× 161 0.5× 432 1.2× 287 1.0× 184 1.4× 84 1.7k
Jianyong Chen China 18 1.2k 2.1× 161 0.5× 150 0.4× 930 3.2× 120 0.9× 31 1.6k
Rehab Ali Ibrahim Egypt 20 981 1.7× 289 0.8× 78 0.2× 363 1.2× 179 1.3× 41 1.6k

Countries citing papers authored by Lin‐Yu Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Yu Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin‐Yu Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Lin‐Yu Tseng. A scholar is included among the top collaborators of Lin‐Yu Tseng 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 Lin‐Yu Tseng. Lin‐Yu Tseng 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.
Hwang, Min‐Shiang, et al.. (2013). Reversible Data Hiding for Medical Images in Cloud Computing Environments Based on Chaotic Hénon Map. Journal of Electronic Science and Technology. 11(2). 230–236. 3 indexed citations
2.
Lin, Hsuan‐Hung, et al.. (2013). Disulfide connectivity prediction based on structural information without a prior knowledge of the bonding state of cysteines. Computers in Biology and Medicine. 43(11). 1941–1948. 5 indexed citations
3.
Tseng, Lin‐Yu, et al.. (2012). The Study of Data Hiding in Medical Images. International journal of network security. 14(6). 301–309. 17 indexed citations
4.
Lin, Hsuan‐Hung & Lin‐Yu Tseng. (2010). DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines. Nucleic Acids Research. 38(suppl_2). W503–W507. 39 indexed citations
5.
Lin, Hsuan‐Hung & Lin‐Yu Tseng. (2009). Prediction of disulfide bonding pattern based on support vector machine with parameters tuned by multiple trajectory search. WSEAS Transactions on Computers archive. 8(9). 1429–1439. 3 indexed citations
6.
Tseng, Lin‐Yu, et al.. (2009). Multiple Trajectory Search for Uncapacitated Facility Location Problems. 2462. 965–968. 2 indexed citations
7.
Tseng, Lin‐Yu, et al.. (2009). The OA-based swap method for the P-median problem. 25. 2543–2548. 1 indexed citations
8.
Tseng, Lin‐Yu, et al.. (2008). A hybrid genetic local search algorithm for the permutation flowshop scheduling problem. European Journal of Operational Research. 198(1). 84–92. 86 indexed citations
9.
Chiang, Mao‐Lun, et al.. (2008). The incremental agreement. Information Processing Letters. 107(5). 165–170. 1 indexed citations
10.
Chiang, Mao‐Lun, Shu-Ching Wang, & Lin‐Yu Tseng. (2008). An early fault diagnosis agreement under hybrid fault model. Expert Systems with Applications. 36(3). 5039–5050. 6 indexed citations
11.
Tseng, Lin‐Yu & Tuan‐Yung Han. (2007). A Genetic Local Search Algorithm for the Floorplan Problem with Boundary Constraints.. 70–74. 3 indexed citations
12.
Chen, Yung‐Fu, Rung-Ching Chen, Lin‐Yu Tseng, et al.. (2007). NTMG (N-terminal Truncated Mutants Generator for cDNA): an automatic multiplex PCR assays design for generating various N-terminal truncated cDNA mutants. Nucleic Acids Research. 35(Web Server). W66–W70. 2 indexed citations
13.
Tseng, Lin‐Yu, et al.. (2003). An online Chinese signature verification scheme based on the ART1 neural network. 3. 624–630. 5 indexed citations
14.
Tseng, Lin‐Yu, et al.. (2001). Smooth side-match classified vector quantizer with variable block size. IEEE Transactions on Image Processing. 10(5). 677–685. 14 indexed citations
15.
Tseng, Lin‐Yu, et al.. (2001). A genetic approach to the automatic clustering problem. Pattern Recognition. 34(2). 415–424. 152 indexed citations
16.
Tseng, Lin‐Yu, et al.. (1998). RECOGNITION AND DATA EXTRACTION OF FORM DOCUMENTS BASED ON THREE TYPES OF LINE SEGMENTS. Pattern Recognition. 31(10). 1525–1540. 14 indexed citations
17.
Tseng, Lin‐Yu, et al.. (1996). An Efficient Recognition and Data Extraction Method for Table-Form Documents. Machine Vision and Applications. 131–134. 1 indexed citations
18.
Reid, Robert H., Edgar C. Boedeker, Lin‐Yu Tseng, et al.. (1993). Preclinical evaluation of microencapsulated CFA/II oral vaccine against enterotoxigenic E. coli. Vaccine. 11(2). 159–167. 42 indexed citations
19.
Ooi, Guck T., Daniel R. Brown, Dae‐Shik Suh, Lin‐Yu Tseng, & Matthew M. Rechler. (1993). Cycloheximide stabilizes insulin-like growth factor-binding protein-1 (IGFBP-1) mRNA and inhibits IGFBP-1 transcription in H4-II-E rat hepatoma cells. Journal of Biological Chemistry. 268(22). 16664–16672. 34 indexed citations
20.
Tseng, Lin‐Yu, et al.. (1992). Optimal Parallel Algorithms for Some Problems on Trees.. Proceedings of the International Conference on Parallel Processing. 160–163. 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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