Jyh-haw Yeh

481 citations
33 papers · 243 · h-index 9

Impact in

Papers in

Jyh-haw Yeh

31 papers receiving 225 citations

Peers

Jyh-haw Yeh
Comparison fields: 5 of 58
  • Signal Processing 70
  • Information Systems 131
  • Computer Networks and Communications 78
  • Human-Computer Interaction 17
  • Artificial Intelligence 75
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Citations per year

Countries citing papers authored by Jyh-haw Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Jyh-haw Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyh-haw Yeh. 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 Jyh-haw Yeh. The network helps show where Jyh-haw Yeh may publish in the future.

Co-authors

The 25 scholars most cited alongside Jyh-haw Yeh, 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 Jyh-haw Yeh Line = papers co-authored together Jyh-haw Yeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 202024
3 200521
4 200316
5 201714
6
World Wide Web Usage Mining Systems and Technologies
200313
7 200412
8 20059
9 20079
10 20177
11 20086
12 20195
13 20184
14
Network Security Situation Prediction Method Based on Support Vector Machine Optimized by Artificial Bee Colony Algorithms
20214
15 20143
16 20023
17
Undergraduate Research Experience in Cybersecurity for Underrepresented Students and Students with Limited Research Opportunities
20193
18 20203
19 20062
20 20142

About Jyh-haw Yeh

Jyh-haw Yeh is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 243 indexed citations. Recurring topics across this work include Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Authentication Protocols Security (3 papers), Security in Wireless Sensor Networks (3 papers), Mobile Agent-Based Network Management (3 papers), Cloud Data Security Solutions (3 papers), Network Traffic and Congestion Control (3 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Signal Processing (70 citations), Information Systems (131 citations), Computer Networks and Communications (78 citations), Human-Computer Interaction (17 citations) and Artificial Intelligence (75 citations). Jyh-haw Yeh has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hung–Min Sun, Chung-wei Lee, Wen‐Chen Hu, Chien‐Ming Chen, Saru Kumari, Fan Wang, Eric Ke Wang, Richard E. Newman, John M. Elizarraras and Xuli Zong. Their work appears in journals such as Computer Networks, Journal of Ambient Intelligence and Humanized Computing, Information Sciences, Computers & Security and IEEE Transactions on Dependable and Secure 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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