Eunmok Yang

645 citations
24 papers · 266 · h-index 8

Impact in

Papers in

Eunmok Yang

22 papers receiving 244 citations

Peers

Eunmok Yang
Comparison fields: 5 of 60
  • Computer Networks and Communications 116
  • Neurology 23
  • Management Information Systems 19
  • Health Information Management 9
  • Computer Vision and Pattern Recognition 40
Replace Ankit Verma with:
Ankit Verma India
Gurpreet Singh India
Shaila Afrin Bangladesh
Ibtisam A. Aljazaery Iraq
Kamal Kant Hiran India
Mudita Uppal India
Sumit Sharma India
Subhranshu Sekhar Tripathy India
Stephen Jeswinde Nuagah Ghana
Ramanathan Lakshmanan India
Eunmok Yang relative to Ankit Verma India Ankit Verma's profile →
Citations per field
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Ankit Verma · 1×
Citations per year

Countries citing papers authored by Eunmok Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 202035
3 202032
4 202329
5 202417
6 20219
7 20229
8 20237
9 20207
10 20227
11 20247
12 20236
13 20216
14 20216
15 20205
16 20215
17 20234
18 20223
19 20232
20 20232

About Eunmok Yang

Eunmok Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 24 papers that have together received 266 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers), Chaos-based Image/Signal Encryption (3 papers), Advanced Malware Detection Techniques (3 papers), Advanced Queuing Theory Analysis (2 papers), Microgrid Control and Optimization (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Computer Networks and Communications (116 citations), Neurology (23 citations), Management Information Systems (19 citations), Health Information Management (9 citations) and Computer Vision and Pattern Recognition (40 citations). Eunmok Yang has collaborated with scholars based in South Korea, India and Saudi Arabia. Frequent co-authors include Gyanendra Prasad Joshi, Changho Seo, Woong Cho, Romany F. Mansour, Shaha Al‐Otaibi, Amal Al‐Rasheed, K. Shankar, Lewis Nkenyereye, Sudan Jha and Thavavel Vaiyapuri. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Biomedicines, Sensors and Computer Modeling in Engineering & Sciences.

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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