Chung Hwan Kim
- Software top 5%
- Software Testing and Debugging Techniques 4
- Signal Processing top 5%
- Advanced Malware Detection Techniques 13
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 5
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- Software System Performance and Reliability 5
- Distributed systems and fault tolerance 3
- Network Security and Intrusion Detection 3
- Artificial Intelligence top 5%
- Security and Verification in Computing 9
- Adversarial Robustness in Machine Learning 5
- Co-authors
- Dongyan XuXiangyu ZhangJunghwan RheeByoungyoung LeeKyung‐Tae KimTaegyu KimYonghwi KwonHongjun Choi
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Chung Hwan Kim
23 papers receiving 402 citations
Peers
Comparison fields: 5 of 36
- Software 102
- Signal Processing 192
- Hardware and Architecture 65
- Computer Networks and Communications 163
- Artificial Intelligence 214
Countries citing papers authored by Chung Hwan Kim
This map shows the geographic impact of Chung Hwan Kim'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 Chung Hwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung Hwan Kim more than expected).
Fields of papers citing papers by Chung Hwan Kim
This network shows the impact of papers produced by Chung Hwan Kim. 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 Chung Hwan Kim. The network helps show where Chung Hwan Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chung Hwan Kim, 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 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 0 | |
| 7 | {PASAN}: Detecting Peripheral Access Concurrency Bugs within Bare-Metal Embedded Applications | 2021 | 3 |
| 8 | 2020 | 26 | |
| 9 | 2020 | 66 | |
| 10 | From Control Model to Program: Investigating Robotic Aerial Vehicle Accidents with {MAYDAY} | 2020 | 7 |
| 11 | 2020 | 12 | |
| 12 | RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing | 2019 | 26 |
| 13 | 2019 | 1 | |
| 14 | 2018 | 5 | |
| 15 | SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection | 2018 | 4 |
| 16 | 2017 | 40 | |
| 17 | 2017 | 20 | |
| 18 | 2015 | 4 | |
| 19 | 2015 | 57 | |
| 20 | 2014 | 17 |
About Chung Hwan Kim
Chung Hwan Kim is a scholar working on Signal Processing, Software and Hardware and Architecture, having authored 26 papers that have together received 412 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), Security and Verification in Computing (9 papers), Adversarial Robustness in Machine Learning (5 papers), Software System Performance and Reliability (5 papers), Parallel Computing and Optimization Techniques (5 papers), Software Testing and Debugging Techniques (4 papers), Distributed systems and fault tolerance (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Software (102 citations), Signal Processing (192 citations) and Hardware and Architecture (65 citations). Chung Hwan Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Dongyan Xu, Xiangyu Zhang, Junghwan Rhee, Byoungyoung Lee, Kyung‐Tae Kim, Taegyu Kim, Yonghwi Kwon, Hongjun Choi, Yeongjin Jang and Zhongshu Gu.
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.