Steven H. H. Ding

1.1k total citations · 1 hit paper
35 papers, 654 citations indexed

About

Steven H. H. Ding is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Steven H. H. Ding has authored 35 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Signal Processing and 13 papers in Information Systems. Recurrent topics in Steven H. H. Ding's work include Advanced Malware Detection Techniques (15 papers), Network Security and Intrusion Detection (11 papers) and Anomaly Detection Techniques and Applications (8 papers). Steven H. H. Ding is often cited by papers focused on Advanced Malware Detection Techniques (15 papers), Network Security and Intrusion Detection (11 papers) and Anomaly Detection Techniques and Applications (8 papers). Steven H. H. Ding collaborates with scholars based in Canada, United Arab Emirates and United States. Steven H. H. Ding's co-authors include Benjamin C. M. Fung, Philippe Charland, Junqiang Liu, Mohammad Zulkernine, Karim Lounis, Mourad Debbabi, Farkhund Iqbal, Yuan Tian, Litao Li and William K. Cheung and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and IEEE Transactions on Vehicular Technology.

In The Last Decade

Steven H. H. Ding

32 papers receiving 623 citations

Hit Papers

align trajectories sort by overperformance

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.

Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization

2019 244 citations Steven H. H. Ding, Benjamin C. M. Fung et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven H. H. Ding Canada	10	380	300	297	160	148	35	654
Martin Mulazzani Austria	11	458 1.2×	259 0.9×	254 0.9×	100 0.6×	208 1.4×	23	642
Johanna Amann United States	11	334 0.9×	458 1.5×	337 1.1×	75 0.5×	403 2.7×	18	778
Jasvir Nagra United States	10	393 1.0×	325 1.1×	355 1.2×	25 0.2×	127 0.9×	14	621
Sangho Lee South Korea	9	288 0.8×	196 0.7×	239 0.8×	70 0.4×	178 1.2×	27	464
Luyi Xing United States	14	457 1.2×	292 1.0×	455 1.5×	60 0.4×	282 1.9×	31	692
Morteza Amini Iran	12	175 0.5×	255 0.8×	131 0.4×	113 0.7×	290 2.0×	46	478
David Barrera Canada	11	355 0.9×	229 0.8×	480 1.6×	89 0.6×	357 2.4×	27	700
Apostolis Zarras Germany	11	300 0.8×	261 0.9×	309 1.0×	49 0.3×	224 1.5×	28	499
Xiaokai Wei United States	13	190 0.5×	553 1.8×	47 0.2×	55 0.3×	75 0.5×	36	696

Countries citing papers authored by Steven H. H. Ding

Since Specialization

Citations

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

Fields of papers citing papers by Steven H. H. Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven H. H. Ding. 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 Steven H. H. Ding. The network helps show where Steven H. H. Ding may publish in the future.

Co-authorship network of co-authors of Steven H. H. Ding

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

All Works

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20 of 20 papers shown

Ding, Steven H. H., et al.. (2025). Mecha: A Neural-Symbolic Open-Set Homogeneous Decision Fusion Approach for Zero-Day Malware Similarity Detection. IEEE Transactions on Software Engineering. 51(2). 621–637.

Ding, Steven H. H., et al.. (2024). PulseAnomaly: Unsupervised Anomaly Detection on Avionic Platforms With Seasonality and Trend Modeling in Transformer Networks. IEEE Transactions on Dependable and Secure Computing. 22(2). 1567–1581.

Li, Litao, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, & Benjamin C. M. Fung. (2024). Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection. 1215–1225. 1 indexed citations

Ding, Steven H. H., et al.. (2024). VeriBin: A Malware Authorship Verification Approach for APT Tracking through Explainable and Functionality-Debiasing Adversarial Representation Learning. ACM Transactions on Privacy and Security. 27(3). 1–37. 2 indexed citations

Ding, Steven H. H., et al.. (2024). NeuroYara: Learning to Rank for Yara Rules Generation Through Deep Language Modeling and Discriminative N-Gram Encoding. IEEE Transactions on Dependable and Secure Computing. 22(2). 1747–1762. 1 indexed citations

Charland, Philippe, et al.. (2024). ERS0: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management. 141–160.

Ding, Steven H. H., et al.. (2023). TDRLM: Stylometric learning for authorship verification by Topic-Debiasing. Expert Systems with Applications. 233. 120745–120745. 4 indexed citations

Ding, Steven H. H., et al.. (2023). Asm2Seq: Explainable Assembly Code Functional Summary Generation for Reverse Engineering and Vulnerability Analysis. 5(1). 1–25. 2 indexed citations

Li, Litao, et al.. (2023). VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution. ACM Transactions on Privacy and Security. 26(3). 1–25. 9 indexed citations

10.

Ding, Steven H. H., et al.. (2023). GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection. 1–8. 2 indexed citations

11.

Lounis, Karim, et al.. (2022). AdaptIDS: Adaptive Intrusion Detection for Mission-Critical Aerospace Vehicles. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23459–23473. 18 indexed citations

12.

Zulkernine, Mohammad, et al.. (2022). CamoDroid: An Android application analysis environment resilient against sandbox evasion. Journal of Systems Architecture. 125. 102452–102452. 9 indexed citations

13.

Lounis, Karim, Steven H. H. Ding, & Mohammad Zulkernine. (2022). D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions. IEEE Transactions on Vehicular Technology. 72(4). 5079–5093. 29 indexed citations

14.

Ding, Steven H. H., et al.. (2022). SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification. IEEE Transactions on Software Engineering. 49(4). 1426–1442. 7 indexed citations

15.

Li, Litao, et al.. (2022). TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media. Information Processing & Management. 59(2). 102857–102857. 4 indexed citations

16.

Lounis, Karim, et al.. (2022). OD1NF1ST: True Skip Intrusion Detection and Avionics Network Cyber-attack Simulation. ACM Transactions on Cyber-Physical Systems. 6(4). 1–27. 7 indexed citations

17.

Lounis, Karim, et al.. (2022). A Review and Analysis of Attack Vectors on MIL-STD-1553 Communication Bus. IEEE Transactions on Aerospace and Electronic Systems. 58(6). 5586–5606. 14 indexed citations

18.

Fung, Benjamin C. M., et al.. (2021). A Novel and Dedicated Machine Learning Model for Malware Classification. 617–628. 1 indexed citations

19.

Ding, Steven H. H., et al.. (2019). Detecting breaking news rumors of emerging topics in social media. Information Processing & Management. 57(2). 102018–102018. 159 indexed citations

20.

Ding, Steven H. H., Benjamin C. M. Fung, & Philippe Charland. (2019). Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization. 472–489. 244 indexed citations breakdown →

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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