DaeHun Nyang

3.2k total citations · 1 hit paper
100 papers, 1.6k citations indexed

About

DaeHun Nyang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, DaeHun Nyang has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 50 papers in Computer Networks and Communications and 36 papers in Information Systems. Recurrent topics in DaeHun Nyang's work include Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (26 papers) and Internet Traffic Analysis and Secure E-voting (23 papers). DaeHun Nyang is often cited by papers focused on Network Security and Intrusion Detection (28 papers), Advanced Malware Detection Techniques (26 papers) and Internet Traffic Analysis and Secure E-voting (23 papers). DaeHun Nyang collaborates with scholars based in South Korea, United States and Saudi Arabia. DaeHun Nyang's co-authors include Aziz Mohaisen, Mohammed Abuhamad, Muhammad Saad, Tamer Abuhmed, Jinchun Choi, Jeffrey Spaulding, Charles Kamhoua, Laurent Njilla, Joongheon Kim and Ahmed Abusnaina and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

DaeHun Nyang

92 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the Attack Surface of Blockchain: A Comprehensive Survey

2020 201 citations Muhammad Saad, Jeffrey Spaulding et al. IEEE Communications Surveys & Tutorials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
DaeHun Nyang South Korea	21	864	726	709	559	182	100	1.6k
Claudio Soriente United States	21	540 0.6×	809 1.1×	654 0.9×	358 0.6×	156 0.9×	58	1.5k
Adam Bates United States	25	877 1.0×	1.1k 1.5×	744 1.0×	933 1.7×	79 0.4×	64	1.9k
HweeHwa Pang Singapore	21	699 0.8×	651 0.9×	984 1.4×	337 0.6×	248 1.4×	88	1.6k
Guozhu Meng China	21	844 1.0×	556 0.8×	439 0.6×	833 1.5×	107 0.6×	48	1.6k
Shiuh‐Pyng Shieh Taiwan	19	743 0.9×	1.2k 1.7×	689 1.0×	503 0.9×	178 1.0×	85	1.7k
Giovanni Russello New Zealand	19	689 0.8×	763 1.1×	770 1.1×	353 0.6×	176 1.0×	93	1.6k
Emmanuel S. Pilli India	20	920 1.1×	1.6k 2.2×	1.0k 1.4×	945 1.7×	120 0.7×	103	2.1k
Deqing Zou China	28	1.5k 1.8×	1.3k 1.8×	906 1.3×	950 1.7×	195 1.1×	202	2.7k
Pavel Čeleda Czechia	16	474 0.5×	1.1k 1.5×	766 1.1×	466 0.8×	78 0.4×	84	1.5k

Countries citing papers authored by DaeHun Nyang

Since Specialization

Citations

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

Fields of papers citing papers by DaeHun Nyang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DaeHun Nyang

This figure shows the co-authorship network connecting the top 25 collaborators of DaeHun Nyang. A scholar is included among the top collaborators of DaeHun Nyang 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 DaeHun Nyang. DaeHun Nyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Abuhamad, Mohammed, et al.. (2025). SHIELD: Thwarting Code Authorship Attribution. IEEE Transactions on Dependable and Secure Computing. 22(5). 4753–4767. 1 indexed citations

Omar, Marwan, et al.. (2022). Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions. IEEE Access. 10. 86038–86056. 39 indexed citations

Ahmad, Ashar, Muhammad Saad, Mohammed A. Al Ghamdi, DaeHun Nyang, & Aziz Mohaisen. (2021). BlockTrail: A Service for Secure and Transparent Blockchain-Driven Audit Trails. IEEE Systems Journal. 16(1). 1367–1378. 16 indexed citations

Abusnaina, Ahmed, Mohammed Abuhamad, Hisham Alasmary, et al.. (2021). DL-FHMC: Deep Learning-Based Fine-Grained Hierarchical Learning Approach for Robust Malware Classification. IEEE Transactions on Dependable and Secure Computing. 19(5). 3432–3447. 42 indexed citations

Saad, Muhammad, Zhan Qin, Kui Ren, DaeHun Nyang, & Aziz Mohaisen. (2021). e-PoS: Making Proof-of-Stake Decentralized and Fair. IEEE Transactions on Parallel and Distributed Systems. 32(8). 1961–1973. 50 indexed citations

Mohaisen, Aziz, et al.. (2021). A One-Page Text Entry Method Optimized for Rectangle Smartwatches. IEEE Transactions on Mobile Computing. 21(10). 3443–3454. 4 indexed citations

Alikhanov, Jumabek, et al.. (2021). Investigating the Effect of Traffic Sampling on Machine Learning-Based Network Intrusion Detection Approaches. IEEE Access. 10. 5801–5823. 16 indexed citations

Alasmary, Hisham, Ahmed Abusnaina, Mohammed Abuhamad, et al.. (2020). Soteria: Detecting Adversarial Examples in Control Flow Graph-based Malware Classifiers. 888–898. 27 indexed citations

Abuhamad, Mohammed, Tamer Abuhmed, Aziz Mohaisen, & DaeHun Nyang. (2020). AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors. IEEE Internet of Things Journal. 7(6). 5008–5020. 104 indexed citations

10.

Saad, Muhammad, Jeffrey Spaulding, Laurent Njilla, et al.. (2020). Exploring the Attack Surface of Blockchain: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 22(3). 1977–2008. 201 indexed citations breakdown →

11.

Mohaisen, Aziz, et al.. (2019). Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference. IEEE Transactions on Mobile Computing. 19(5). 1056–1071. 17 indexed citations

12.

Saad, Muhammad, Jinchun Choi, DaeHun Nyang, Joongheon Kim, & Aziz Mohaisen. (2019). Toward Characterizing Blockchain-Based Cryptocurrencies for Highly Accurate Predictions. IEEE Systems Journal. 14(1). 321–332. 87 indexed citations

13.

Alasmary, Hisham, Aminollah Khormali, Afsah Anwar, et al.. (2019). Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach. IEEE Internet of Things Journal. 6(5). 8977–8988. 115 indexed citations

14.

Park, Jeman, Jinchun Choi, DaeHun Nyang, & Aziz Mohaisen. (2019). Transparency in the New gTLD Era: Evaluating the DNS Centralized Zone Data Service. IEEE Transactions on Network and Service Management. 16(4). 1782–1796. 1 indexed citations

15.

Mohaisen, Aziz, Zhongshu Gu, Kui Ren, et al.. (2018). Look-Aside at Your Own Risk: Privacy Implications of DNSSEC Look-Aside Validation. IEEE Transactions on Dependable and Secure Computing. 17(4). 745–759. 2 indexed citations

16.

Nyang, DaeHun, et al.. (2017). A Privacy-Preserving Mobile Payment System for Mass Transit. IEEE Transactions on Intelligent Transportation Systems. 18(8). 2192–2205. 14 indexed citations

17.

Abuhmed, Tamer, et al.. (2011). A software-based group attestation for wireless sensor networks. Ad Hoc & Sensor Wireless Networks. 13. 121–154. 3 indexed citations

18.

Kim, Juhyun, et al.. (2009). Cognitive Approach to Anti-Phishing and Anti-Pharming. Information Security and Cryptology. 19(1). 113–124. 4 indexed citations

19.

Kim, Sung‐Ho, DaeHun Nyang, & Kyung-Hee Lee. (2009). Breaking character-based CAPTCHA using color information. Information Security and Cryptology. 19(6). 105–112.

20.

Abuhmed, Tamer, Aziz Mohaisen, & DaeHun Nyang. (2007). Deep Packet Inspection for Intrusion Detection Systems: A Survey. 24(11). 25–36. 10 indexed citations

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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