Haehyun Cho

628 citations
32 papers · 355 indexed · h-index 10
Topics
Advanced Malware Detection Techniques (21 papers)Security and Verification in Computing (9 papers)Internet Traffic Analysis and Secure E-voting (7 papers)

In The Last Decade

Haehyun Cho

28 papers receiving 342 citations

Peers

Haehyun Cho
Comparison fields: 5 of 34
  • Signal Processing 230
  • Information Systems 209
  • Artificial Intelligence 183
  • Computer Networks and Communications 143
  • Hardware and Architecture 42
Replace Veelasha Moonsamy with:
Veelasha Moonsamy Germany
Hayawardh Vijayakumar United States
Yury Zhauniarovich Italy
Chad Spensky United States
Sebastian Poeplau Germany
Xunchao Hu United States
Elena Gabriela Barrantes Costa Rica
Sebastian Gerling Germany
Adwait Nadkarni United States
M. Zubair Rafique Belgium
Haehyun Cho relative to Veelasha Moonsamy Germany Veelasha Moonsamy's profile →
Citations per field
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Veelasha Moonsamy · 1×
Citations per year

Countries citing papers authored by Haehyun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Haehyun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haehyun Cho. 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 Haehyun Cho. The network helps show where Haehyun Cho may publish in the future.

Co-authorship network of co-authors of Haehyun Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Haehyun Cho. A scholar is included among the top collaborators of Haehyun Cho 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 Haehyun Cho. Haehyun Cho 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
#WorkIndexed citations
1 0
2 2
3 0
4 3
5 0
6 1
7 0
8 13
9 1
10 9
11 10
12 54
13 17
14 3
15 19
16 1
17 29
18 75
19 7
20
A Suggestion for Integrated Design Education System: A Case Study on Domestic College Programs
2

About Haehyun Cho

Haehyun Cho is a scholar working on Signal Processing, Software and Information Systems, having authored 32 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (21 papers), Security and Verification in Computing (9 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). The work is most often cited by research in Signal Processing (230 citations), Software (41 citations) and Information Systems (209 citations). Haehyun Cho has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Jeong Hyun Yi, Gail‐Joon Ahn, Adam Doupé, Jinsung Kim, Yan Shoshitaishvili, Tiffany Bao, Ruoyu Wang, Adam Oest, Jin‐Bum Park and Ziming Zhao. Their work appears in journals such as IEEE Access, Electronics and IEEE Security & Privacy.

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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