Riaz Ullah Khan

1.5k total citations
38 papers, 1.0k citations indexed

About

Riaz Ullah Khan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Riaz Ullah Khan has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Riaz Ullah Khan's work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Riaz Ullah Khan is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers) and Anomaly Detection Techniques and Applications (6 papers). Riaz Ullah Khan collaborates with scholars based in China, Pakistan and Saudi Arabia. Riaz Ullah Khan's co-authors include Xiaosong Zhang, Rajesh Kumar, Rajesh Kumar, Mamoun Alazab, Abubakar Sharif, Jay Kumar, Noorbakhsh Amiri Golilarz, Eric O. Aboagye, Wenyong Wang and Liaqat Ali and has published in prestigious journals such as IEEE Access, Sensors and Neural Networks.

In The Last Decade

Riaz Ullah Khan

38 papers receiving 973 citations

Peers

Riaz Ullah Khan
Sachin Kumar India
Hongliang Zhu China
Ruba Abu Khurma Jordan
Zahra Pooranian Italy
Muhammed Ali Aydın Türkiye
S. Velliangiri India
Jialiang Lu China
Ayman M. Bahaa-Eldin Egypt
Divya Saxena India
Kuinam J. Kim South Korea
Sachin Kumar India
Riaz Ullah Khan
Citations per year, relative to Riaz Ullah Khan Riaz Ullah Khan (= 1×) peers Sachin Kumar

Countries citing papers authored by Riaz Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Riaz Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riaz Ullah Khan. 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 Riaz Ullah Khan. The network helps show where Riaz Ullah Khan may publish in the future.

Co-authorship network of co-authors of Riaz Ullah Khan

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

All Works

20 of 20 papers shown
1.
Kumar, Rajesh, et al.. (2024). Privacy-preserving blockchain-based federated learning for brain tumor segmentation. Computers in Biology and Medicine. 177. 108646–108646. 22 indexed citations
2.
Khan, Riaz Ullah, et al.. (2024). Addressing unreliable local models in federated learning through unlearning. Neural Networks. 180. 106688–106688. 1 indexed citations
3.
Khan, Riaz Ullah, Rajesh Kumar, Amin Ul Haq, et al.. (2024). Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases. IRBM. 45(2). 100829–100829. 6 indexed citations
4.
Gheisari, Mehdi, Jiechao Gao, Hemn Barzan Abdalla, et al.. (2024). Accident reduction through a privacy-preserving method on top of a novel ontology for autonomous vehicles with the support of modular arithmetic. Vehicular Communications. 46. 100732–100732. 4 indexed citations
5.
6.
Khan, Riaz Ullah, Sajal K. Das, Subrata K. Sarker, et al.. (2023). Power transformer health condition evaluation: A deep generative model aided intelligent framework. Electric Power Systems Research. 218. 109201–109201. 19 indexed citations
7.
Li, Jianping, Amin Ul Haq, Bless Lord Y. Agbley, et al.. (2023). A Multimodal Network Security Framework for Healthcare Based on Deep Learning. Computational Intelligence and Neuroscience. 2023(1). 9041355–9041355. 2 indexed citations
8.
Liu, Yan, et al.. (2023). Dual semantic-aligned clustering for cross-domain person re-identification. Multimedia Systems. 29(4). 2351–2362. 2 indexed citations
9.
Kumar, Rajesh, et al.. (2022). Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images. Computerized Medical Imaging and Graphics. 102. 102139–102139. 39 indexed citations
10.
11.
Haq, Amin Ul, Jianping Li, Riaz Ullah Khan, et al.. (2021). Deep Learning Approach for COVID-19 Identification. 154–156. 2 indexed citations
12.
13.
Alshehri, Mohammed S., Brajendra Panda, Sultan Almakdi, et al.. (2021). A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes. Electronics. 10(24). 3135–3135. 6 indexed citations
14.
Khan, Riaz Ullah, Sajal K. Das, S. M. Muyeen, et al.. (2021). Energy Sustainability–Survey on Technology and Control of Microgrid, Smart Grid and Virtual Power Plant. IEEE Access. 9. 104663–104694. 59 indexed citations
15.
Kumar, Rajesh, Xiaosong Zhang, Wenyong Wang, et al.. (2019). A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features. IEEE Access. 7. 64411–64430. 96 indexed citations
16.
Golilarz, Noorbakhsh Amiri, Abdoljalil Addeh, Hui Gao, et al.. (2019). A New Automatic Method for Control Chart Patterns Recognition Based on ConvNet and Harris Hawks Meta Heuristic Optimization Algorithm. IEEE Access. 7. 149398–149405. 68 indexed citations
17.
Kumar, Rajesh, Xiaosong Zhang, Riaz Ullah Khan, & Abubakar Sharif. (2019). Research on Data Mining of Permission-Induced Risk for Android IoT Devices. Applied Sciences. 9(2). 277–277. 31 indexed citations
18.
Khan, Riaz Ullah, Xiaosong Zhang, & Rajesh Kumar. (2018). Analysis of ResNet and GoogleNet models for malware detection. Journal of Computer Virology and Hacking Techniques. 15(1). 29–37. 163 indexed citations
19.
Kumar, Rajesh, et al.. (2018). Malicious Code Detection based on Image Processing Using Deep Learning. 81–85. 45 indexed citations
20.
Khan, Riaz Ullah, et al.. (2017). Analysis of resnet model for malicious code detection. 239–242. 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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