Steven H. H. Ding

1.1k citations

35 papers · 654 indexed · 1 hit paper · h-index 10

Information Systems top 2%
Artificial Intelligence top 5%
Signal Processing top 2%
Sociology and Political Science top 10%
Computer Networks and Communications top 10%

Co-authors: Benjamin C. M. Fung Philippe Charland Junqiang Liu Mohammad Zulkernine Karim Lounis Mourad Debbabi Farkhund IqbalYuan Tian
Topics: Advanced Malware Detection Techniques (15 papers)Network Security and Intrusion Detection (11 papers)Anomaly Detection Techniques and Applications (8 papers)
Cited by: Software Signal Processing Information Systems
Journals: Expert Systems with Applications IEEE Transactions on Software Engineering IEEE Transactions on Vehicular Technology
Partner nations: Canada United Arab Emirates United States

In The Last Decade

Steven H. H. Ding

32 papers receiving 623 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.

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

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

#	Work	Indexed citations
1	Mecha: A Neural-Symbolic Open-Set Homogeneous Decision Fusion Approach for Zero-Day Malware Similarity Detection 2025 ·IEEE Transactions on Software Engineering ·(unknown),(unknown),Steven H. H. Ding,(unknown),Philippe Charland,Andrew Walenstein	0
2	NeuroYara: Learning to Rank for Yara Rules Generation Through Deep Language Modeling and Discriminative N-Gram Encoding 2024 ·IEEE Transactions on Dependable and Secure Computing ·(unknown),(unknown),Steven H. H. Ding,Mohammad Zulkernine,Philippe Charland	1
3	PulseAnomaly: Unsupervised Anomaly Detection on Avionic Platforms With Seasonality and Trend Modeling in Transformer Networks 2024 ·IEEE Transactions on Dependable and Secure Computing ·(unknown),(unknown),Steven H. H. Ding,Mohammad Zulkernine	0
4	VeriBin: A Malware Authorship Verification Approach for APT Tracking through Explainable and Functionality-Debiasing Adversarial Representation Learning 2024 ·ACM Transactions on Privacy and Security ·(unknown),Steven H. H. Ding,Mohammad Zulkernine,Litao Li,(unknown)	2
5	Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection 2024 ·Litao Li,Steven H. H. Ding,Andrew Walenstein,Philippe Charland,Benjamin C. M. Fung	1
6	ERS0: Enhancing Military Cybersecurity with AI-Driven SBOM for Firmware Vulnerability Detection and Asset Management 2024 ·(unknown),Philippe Charland,Steven H. H. Ding,Benjamin C. M. Fung	0
7	VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution 2023 ·ACM Transactions on Privacy and Security ·Litao Li,Steven H. H. Ding,Yuan Tian,Benjamin C. M. Fung,Philippe Charland,(unknown),(unknown),(unknown)	9
8	Asm2Seq: Explainable Assembly Code Functional Summary Generation for Reverse Engineering and Vulnerability Analysis 2023 ·(unknown),Steven H. H. Ding,Mohammad Zulkernine,Philippe Charland,(unknown)	2
9	TDRLM: Stylometric learning for authorship verification by Topic-Debiasing 2023 ·Expert Systems with Applications ·(unknown),(unknown),(unknown),Steven H. H. Ding,(unknown),(unknown)	4
10	AIM: An Android Interpretable Malware detector based on application class modeling 2023 ·Journal of Information Security and Applications ·(unknown),Mohammad Zulkernine,Steven H. H. Ding	6
11	MaGnn: Binary-Source Code Matching by Modality-Sharing Graph Convolution for Binary Provenance Analysis 2023 ·(unknown),Steven H. H. Ding	2
12	TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media 2022 ·Information Processing & Management ·Litao Li,(unknown),Steven H. H. Ding,(unknown)	4
13	CamoDroid: An Android application analysis environment resilient against sandbox evasion 2022 ·Journal of Systems Architecture ·(unknown),Mohammad Zulkernine,Steven H. H. Ding	9
14	AdaptIDS: Adaptive Intrusion Detection for Mission-Critical Aerospace Vehicles 2022 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown),(unknown),(unknown),Karim Lounis,Steven H. H. Ding,Mohammad Zulkernine	18
15	SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification 2022 ·IEEE Transactions on Software Engineering ·(unknown),Steven H. H. Ding,Yuan Tian,(unknown)	7
16	D2D-MAP: A Drone to Drone Authentication Protocol Using Physical Unclonable Functions 2022 ·IEEE Transactions on Vehicular Technology ·Karim Lounis,Steven H. H. Ding,Mohammad Zulkernine	29
17	OD1NF1ST: True Skip Intrusion Detection and Avionics Network Cyber-attack Simulation 2022 ·ACM Transactions on Cyber-Physical Systems ·(unknown),(unknown),Karim Lounis,(unknown),Steven H. H. Ding,Mohammad Zulkernine	7
18	A Review and Analysis of Attack Vectors on MIL-STD-1553 Communication Bus 2022 ·IEEE Transactions on Aerospace and Electronic Systems ·Karim Lounis,(unknown),(unknown),(unknown),Steven H. H. Ding,Mohammad Zulkernine	14
19	SV1DUR: A Real-Time MIL-STD-1553 Bus Simulator with Flight Subsystems for Cyber-Attack Modeling and Assessments 2022 ·(unknown),(unknown),Steven H. H. Ding,Mohammad Zulkernine	2
20	Detecting breaking news rumors of emerging topics in social media 2019 ·Information Processing & Management ·(unknown),Steven H. H. Ding,Benjamin C. M. Fung,Junqiang Liu	159

About Steven H. H. Ding

Steven H. H. Ding is a scholar working on Software, Signal Processing and Artificial Intelligence, having authored 35 papers that have together received 654 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (15 papers), Network Security and Intrusion Detection (11 papers) and Anomaly Detection Techniques and Applications (8 papers). The work is most often cited by research in Software (124 citations), Signal Processing (297 citations) and Information Systems (380 citations). Steven H. H. Ding has collaborated with scholars based in Canada, United Arab Emirates and United States. Frequent co-authors include Benjamin C. M. Fung, Philippe Charland, Junqiang Liu, Mohammad Zulkernine, Karim Lounis, Mourad Debbabi, Farkhund Iqbal, Yuan Tian, Abdallah Tubaishat and William K. Cheung. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and IEEE Transactions on Vehicular Technology.

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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