Ray-Shine Run

1.5k total citations
29 papers, 1.1k citations indexed

About

Ray-Shine Run is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ray-Shine Run has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Ray-Shine Run's work include Particle Detector Development and Performance (5 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Nuclear Physics and Applications (4 papers). Ray-Shine Run is often cited by papers focused on Particle Detector Development and Performance (5 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Nuclear Physics and Applications (4 papers). Ray-Shine Run collaborates with scholars based in Taiwan, United States and Saudi Arabia. Ray-Shine Run's co-authors include Shi‐Jinn Horng, Rong‐Jian Chen, Jui‐Lin Lai, Y-H. Chen, Tzong‐Wann Kao, Muhammad Khurram Khan, Pingzhi Fan, I‐Hong Kuo, Tsung‐Lieh Lin and Mingxing He and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and IEEE Transactions on Industrial Informatics.

In The Last Decade

Ray-Shine Run

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ray-Shine Run Taiwan 13 417 310 285 241 229 29 1.1k
Kasturi Varadarajan United States 22 336 0.8× 290 0.9× 290 1.0× 20 0.1× 163 0.7× 71 1.4k
Yihua Chen China 8 147 0.4× 65 0.2× 259 0.9× 199 0.8× 192 0.8× 27 790
Andrea Vattani United States 11 194 0.5× 184 0.6× 476 1.7× 144 0.6× 49 0.2× 14 833
Mamoun Awad United Arab Emirates 11 219 0.5× 161 0.5× 372 1.3× 169 0.7× 80 0.3× 31 838
Jianlong Tan China 18 349 0.8× 77 0.2× 701 2.5× 255 1.1× 92 0.4× 66 1.0k
Xiao Yu China 22 190 0.5× 225 0.7× 519 1.8× 872 3.6× 39 0.2× 102 1.6k
B. K. Tripathy India 19 141 0.3× 86 0.3× 513 1.8× 281 1.2× 157 0.7× 145 1.1k
Li Pan China 15 63 0.2× 127 0.4× 260 0.9× 359 1.5× 62 0.3× 119 809
Sanjay Kumar India 21 183 0.4× 159 0.5× 600 2.1× 191 0.8× 53 0.2× 100 1.3k

Countries citing papers authored by Ray-Shine Run

Since Specialization
Citations

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

Fields of papers citing papers by Ray-Shine Run

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray-Shine Run. 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 Ray-Shine Run. The network helps show where Ray-Shine Run may publish in the future.

Co-authorship network of co-authors of Ray-Shine Run

This figure shows the co-authorship network connecting the top 25 collaborators of Ray-Shine Run. A scholar is included among the top collaborators of Ray-Shine Run 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 Ray-Shine Run. Ray-Shine Run 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.
Run, Ray-Shine, et al.. (2020). Chatbot Application in Laboratory Equipment Management and e-assistant. 39–42. 1 indexed citations
2.
Run, Ray-Shine, et al.. (2018). Indoor Autonomous Vehicle Navigation—A Feasibility Study Based on Infrared Technology. Applied System Innovation. 1(1). 4–4. 12 indexed citations
3.
Run, Ray-Shine & Guogang Sun. (2017). The cost-effective GPS guided autonomous vehicle - a feasibility study based on Self-balancing Scooter. 778–780. 1 indexed citations
4.
Run, Ray-Shine & Shi‐Jinn Horng. (2012). EXPERT SYSTEMS WITH APPLICATIONS AN IMPROVED SVD-BASED WATERMARKING TECHNIQUE FOR COPYRIGHT PROTECTION Q. 39(1). 673–689. 3 indexed citations
5.
Horng, Shi‐Jinn, Tzong‐Wann Kao, Chin‐Shyurng Fahn, et al.. (2012). Solving the bi-objective personnel assignment problem using particle swarm optimization. Applied Soft Computing. 12(9). 2840–2845. 12 indexed citations
6.
7.
Run, Ray-Shine, et al.. (2011). A Study of Automatic Parallel Parking System - from the Viewpoints of User and Manufacturer. 1–5. 2 indexed citations
8.
Farfoura, Mahmoud E., Shi‐Jinn Horng, Jui‐Lin Lai, et al.. (2011). A blind reversible method for watermarking relational databases based on a time-stamping protocol. Expert Systems with Applications. 39(3). 3185–3196. 51 indexed citations
9.
Lin, Tsung‐Lieh, Shi‐Jinn Horng, Kai-Hui Lee, et al.. (2010). A visual sharing scheme for multiple secrets by camouflaging process. International journal of innovative computing, information & control. 6. 1 indexed citations
10.
Liu, Zhongkai, Mark S. Bandstra, Eric C. Bellm, et al.. (2010). Ground calibrations of Nuclear Compton Telescope. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7732. 77324H–77324H. 1 indexed citations
11.
Lin, Tsung‐Lieh, Shi‐Jinn Horng, Kai-Hui Lee, et al.. (2010). A novel visual secret sharing scheme for multiple secrets without pixel expansion☆. Expert Systems with Applications. 37(12). 7858–7869. 44 indexed citations
12.
Hsu, Ling-Yuan, Shi‐Jinn Horng, Mingxing He, et al.. (2010). Mutual funds trading strategy based on particle swarm optimization. Expert Systems with Applications. 38(6). 7582–7602. 11 indexed citations
13.
Horng, Shi‐Jinn, Pingzhi Fan, Muhammad Khurram Khan, et al.. (2010). A fast RFID tag identification algorithm based on counter and stack. Expert Systems with Applications. 38(6). 6829–6838. 11 indexed citations
14.
Hsu, Ling-Yuan, Shi‐Jinn Horng, Pingzhi Fan, et al.. (2010). MTPSO algorithm for solving planar graph coloring problem. Expert Systems with Applications. 38(5). 5525–5531. 30 indexed citations
15.
Bellm, Eric C., Steven E. Boggs, Hsiang‐Kuang Chang, et al.. (2010). The 2010 balloon campaign of the Nuclear Compton Telescope. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7732. 773224–773224. 1 indexed citations
16.
Bellm, Eric C., Daniel Perez-Becker, J.M. Liang, et al.. (2009). Efficiency and polarimetric calibration of the Nuclear Compton Telescope. 444–448. 3 indexed citations
17.
Liu, Zong-Kai, Mark S. Bandstra, Daniel Perez-Becker, et al.. (2009). Energy, depth calibration, and imaging capability of Nuclear Compton Telescope. 472–476. 1 indexed citations
18.
Hsu, Ling-Yuan, Shi‐Jinn Horng, Tzong‐Wann Kao, et al.. (2009). Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques☆. Expert Systems with Applications. 37(4). 2756–2770. 82 indexed citations
19.
Kuo, I‐Hong, Shi‐Jinn Horng, Y-H. Chen, et al.. (2009). Forecasting TAIFEX based on fuzzy time series and particle swarm optimization. Expert Systems with Applications. 37(2). 1494–1502. 100 indexed citations
20.
Chen, Y-H., Shi‐Jinn Horng, Ray-Shine Run, et al.. (2009). A Novel Anti-Collision Algorithm in RFID Systems for Identifying Passive Tags. IEEE Transactions on Industrial Informatics. 6(1). 105–121. 86 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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