Ray-Shine Run

1.5k citations
29 papers · 1.1k · h-index 14

Impact in

Papers in

Ray-Shine Run

28 papers receiving 1.0k citations

Peers

Ray-Shine Run
Comparison fields: 5 of 84
  • Signal Processing 309
  • Computer Vision and Pattern Recognition 417
  • Management Science and Operations Research 228
  • Industrial and Manufacturing Engineering 166
  • Media Technology 124
Replace Kasturi Varadarajan with:
Kasturi Varadarajan United States
Philip Laird United States
B. K. Tripathy India
Mamoun Awad United Arab Emirates
Guiyi Wei China
Ming‐Chao Chiang Taiwan
Andrea Vattani United States
Alan Tickle Australia
Pradeep Kumar Bhatia India
Ray-Shine Run relative to Kasturi Varadarajan United States Kasturi Varadarajan's profile →
Citations per field
00.5×8.9×
Kasturi Varadarajan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ray-Shine Run, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ray-Shine Run Line = papers co-authored together Ray-Shine Run links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009181
2 2009165
3 2011151
4 2011104
5 2009100
6 200987
7 200981
8 201151
9 201044
10 201135
11 201030
12 200922
13 201813
14 201213
15 201011
16 201011
17 20106
18 20093
19
EXPERT SYSTEMS WITH APPLICATIONS AN IMPROVED SVD-BASED WATERMARKING TECHNIQUE FOR COPYRIGHT PROTECTION Q
20123
20 20112

About Ray-Shine Run

Ray-Shine Run is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Radiation and Electrical and Electronic Engineering, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (5 papers), Particle Detector Development and Performance (5 papers), Robotic Path Planning Algorithms (4 papers), User Authentication and Security Systems (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), Nuclear Physics and Applications (4 papers), Stock Market Forecasting Methods (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Signal Processing (309 citations), Computer Vision and Pattern Recognition (417 citations), Management Science and Operations Research (228 citations), Industrial and Manufacturing Engineering (166 citations) and Media Technology (124 citations). Ray-Shine Run has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shi‐Jinn Horng, Jui‐Lin Lai, Rong‐Jian Chen, Tzong‐Wann Kao, Muhammad Khurram Khan, Pingzhi Fan, I‐Hong Kuo, Tsung‐Lieh Lin, Mingxing He and Ling-Yuan Hsu. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Industrial Informatics, International journal of innovative computing, information & control, Pattern Recognition and Applied Soft Computing.

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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