Eunmok Yang
Impact in
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
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- Advanced Neural Network Applications 4
- Chaos-based Image/Signal Encryption 3
- Video Surveillance and Tracking Methods 3
- Co-authors
- Gyanendra Prasad JoshiChangho SeoSudan JhaWoong ChoAmal Al‐RasheedRomany F. MansourShaha Al‐OtaibiK. Shankar
- Journals
- IEEE Access (5 papers)Computers, materials & continua/Computers, materials & continua (Print) (5 papers)Computer Modeling in Engineering & Sciences (1 paper)Scientific Reports (1 paper)Electronics (1 paper)
- Partner nations
- South KoreaIndiaSaudi Arabia
In The Last Decade
Eunmok Yang
23 papers receiving 317 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 123
- Computer Vision and Pattern Recognition 99
- Neurology 23
- Artificial Intelligence 74
- Management Information Systems 20
Countries citing papers authored by Eunmok Yang
This map shows the geographic impact of Eunmok Yang'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 Eunmok Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunmok Yang more than expected).
Fields of papers citing papers by Eunmok Yang
This network shows the impact of papers produced by Eunmok Yang. 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 Eunmok Yang. The network helps show where Eunmok Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunmok Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 65 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 91 | |
| 18 | 2020 | 5 | |
| 19 | 2020 | 35 | |
| 20 | 2020 | 2 |
About Eunmok Yang
Eunmok Yang is a scholar working on Health Informatics, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Transportation, having authored 25 papers that have together received 346 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Cryptography and Data Security (4 papers), Chaos-based Image/Signal Encryption (3 papers), Video Surveillance and Tracking Methods (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Malware Detection Techniques (3 papers), Transportation Planning and Optimization (2 papers) and Advanced Queuing Theory Analysis (2 papers). The work is most often cited by research in Computer Networks and Communications (123 citations), Computer Vision and Pattern Recognition (99 citations), Neurology (23 citations), Artificial Intelligence (74 citations) and Management Information Systems (20 citations). Eunmok Yang has collaborated with scholars based in South Korea, India and Saudi Arabia. Frequent co-authors include Gyanendra Prasad Joshi, Changho Seo, Sudan Jha, Woong Cho, Amal Al‐Rasheed, Romany F. Mansour, Shaha Al‐Otaibi, K. Shankar, Lewis Nkenyereye and Hikmat A. M. Abdeljaber. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Computer Modeling in Engineering & Sciences, Scientific Reports and Electronics.
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.