Danish Vasan

1.3k total citations · 2 hit papers
13 papers, 882 citations indexed

About

Danish Vasan is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Danish Vasan has authored 13 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 8 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Danish Vasan's work include Advanced Malware Detection Techniques (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Network Security and Intrusion Detection (5 papers). Danish Vasan is often cited by papers focused on Advanced Malware Detection Techniques (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Network Security and Intrusion Detection (5 papers). Danish Vasan collaborates with scholars based in China, Saudi Arabia and Pakistan. Danish Vasan's co-authors include Mamoun Alazab, Zheng Qin, Sobia Wassan, Babak Safaei, Hamad Naeem, Muhammad Rashid Naeem, Farhan Ullah, Shehzad Khalid, Sohail Jabbar and Saqib Saeed and has published in prestigious journals such as IEEE Transactions on Computers, Applied Soft Computing and Computer Networks.

In The Last Decade

Danish Vasan

11 papers receiving 836 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.

IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture

2020 341 citations Danish Vasan, Mamoun Alazab et al. Computer Networks profile →
Image-Based malware classification using ensemble of CNN architectures (IMCEC)

2020 273 citations Danish Vasan, Mamoun Alazab et al. Computers & Security profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danish Vasan China	6	662	608	407	276	97	13	882
Sobia Wassan China	8	482 0.7×	419 0.7×	338 0.8×	207 0.8×	93 1.0×	11	723
Jack W. Stokes United States	15	863 1.3×	749 1.2×	538 1.3×	474 1.7×	84 0.9×	53	1.2k
Derui Wang Australia	8	323 0.5×	239 0.4×	539 1.3×	114 0.4×	145 1.5×	29	770
BooJoong Kang South Korea	14	1.0k 1.5×	891 1.5×	356 0.9×	459 1.7×	78 0.8×	34	1.3k
Eul Gyu Im South Korea	15	1.0k 1.5×	926 1.5×	398 1.0×	511 1.9×	92 0.9×	68	1.3k
Ahmed Abusnaina United States	11	247 0.4×	240 0.4×	359 0.9×	107 0.4×	61 0.6×	27	550
Sabu Emmanuel Singapore	19	370 0.6×	258 0.4×	243 0.6×	251 0.9×	769 7.9×	73	1.2k
Youngsoo Kim South Korea	13	194 0.3×	377 0.6×	180 0.4×	109 0.4×	53 0.5×	41	500
Cherita Corbett United States	12	299 0.5×	513 0.8×	441 1.1×	167 0.6×	59 0.6×	27	710
Hisham Alasmary Saudi Arabia	16	251 0.4×	413 0.7×	290 0.7×	245 0.9×	43 0.4×	44	691

Countries citing papers authored by Danish Vasan

Since Specialization

Citations

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

Fields of papers citing papers by Danish Vasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danish Vasan

This figure shows the co-authorship network connecting the top 25 collaborators of Danish Vasan. A scholar is included among the top collaborators of Danish Vasan 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 Danish Vasan. Danish Vasan 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:

13 of 13 papers shown

Vasan, Danish, et al.. (2025). An Advanced Ensemble Framework for defending against obfuscated Windows, Android, and IoT malware. Applied Soft Computing. 173. 112908–112908. 3 indexed citations

Naeem, Hamad, et al.. (2025). Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization. International Journal of Critical Infrastructure Protection. 49. 100745–100745. 1 indexed citations

Vasan, Danish, Mohammad Hammoudeh, Adel F. Ahmed, & Hamad Naeem. (2025). Cyber-attacks: Securing ship navigation systems using multi-layer cross-validation defense. Computers & Security. 160. 104706–104706.

Vasan, Danish & Mohammad Hammoudeh. (2024). Enhancing resilience against adversarial attacks in medical imaging using advanced feature transformation training. Current Opinion in Biomedical Engineering. 32. 100561–100561. 1 indexed citations

Vasan, Danish, et al.. (2024). An AutoML-based security defender for industrial control systems. International Journal of Critical Infrastructure Protection. 47. 100718–100718. 3 indexed citations

Vasan, Danish, Mohammad Hammoudeh, & Mamoun Alazab. (2024). Broad learning: A GPU-free image-based malware classification. Applied Soft Computing. 154. 111401–111401. 5 indexed citations

Khan, Javed Ali, Affan Yasin, Rubia Fatima, et al.. (2022). Valuating requirements arguments in the online user's forum for requirements decision‐making: The CrowdRE‐VArg framework. Software Practice and Experience. 52(12). 2537–2573. 25 indexed citations

Akram, Junaid, Danish Vasan, & Ping Luo. (2022). Obfuscated code is identifiable by a token-based code clone detection technique. International Journal of Information and Computer Security. 19(3/4). 254–254. 1 indexed citations

Vasan, Danish, et al.. (2020). MTHAEL: Cross-Architecture IoT Malware Detection Based on Neural Network Advanced Ensemble Learning. IEEE Transactions on Computers. 69(11). 1654–1667. 76 indexed citations

10.

Vasan, Danish, Mamoun Alazab, Sobia Wassan, Babak Safaei, & Zheng Qin. (2020). Image-Based malware classification using ensemble of CNN architectures (IMCEC). Computers & Security. 92. 101748–101748. 273 indexed citations breakdown →

11.

Naeem, Hamad, Farhan Ullah, Muhammad Rashid Naeem, et al.. (2020). Malware detection in industrial internet of things based on hybrid image visualization and deep learning model. Ad Hoc Networks. 105. 102154–102154. 144 indexed citations

12.

Vasan, Danish, Mamoun Alazab, Sobia Wassan, et al.. (2020). IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture. Computer Networks. 171. 107138–107138. 341 indexed citations breakdown →

13.

Naeem, Hamad, et al.. (2019). Visual Malware Classification Using Local and Global Malicious Pattern. 73–83. 9 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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