Farhan Ullah

2.9k total citations · 1 hit paper
112 papers, 1.8k citations indexed

About

Farhan Ullah is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Farhan Ullah has authored 112 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 34 papers in Signal Processing and 31 papers in Information Systems. Recurrent topics in Farhan Ullah's work include Advanced Malware Detection Techniques (32 papers), Network Security and Intrusion Detection (24 papers) and IoT and Edge/Fog Computing (12 papers). Farhan Ullah is often cited by papers focused on Advanced Malware Detection Techniques (32 papers), Network Security and Intrusion Detection (24 papers) and IoT and Edge/Fog Computing (12 papers). Farhan Ullah collaborates with scholars based in China, Pakistan and Saudi Arabia. Farhan Ullah's co-authors include Sohail Jabbar, Hamad Naeem, Shehzad Khalid, Shamsher Ullah, Gautam Srivastava, Muhammad Rashid Naeem, Fadi Al‐Turjman, Leonardo Mostarda, Muhammad Farhan and Jerry Chun‐Wei Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Farhan Ullah

91 papers receiving 1.7k 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.

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

2023 108 citations Farhan Ullah, Shamsher Ullah et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farhan Ullah China	22	837	657	645	544	242	112	1.8k
Fei Xue China	17	749 0.9×	709 1.1×	348 0.5×	741 1.4×	310 1.3×	65	1.9k
Yang Xin China	16	1.1k 1.3×	954 1.5×	722 1.1×	481 0.9×	139 0.6×	128	1.9k
Rafiqul Islam Australia	21	1.1k 1.4×	944 1.4×	971 1.5×	739 1.4×	313 1.3×	131	2.1k
Han Qiu China	23	578 0.7×	761 1.2×	314 0.5×	596 1.1×	318 1.3×	89	1.8k
S. Geetha India	21	646 0.8×	800 1.2×	583 0.9×	361 0.7×	519 2.1×	151	1.9k
Amrit Lal Sangal India	15	564 0.7×	717 1.1×	341 0.5×	316 0.6×	157 0.6×	64	1.6k
Ammar Almomani Jordan	23	756 0.9×	796 1.2×	438 0.7×	636 1.2×	319 1.3×	83	1.9k
Sattar Hashemi Iran	24	1.0k 1.2×	1.3k 2.0×	926 1.4×	639 1.2×	239 1.0×	114	2.4k
Shamsul Huda Australia	26	925 1.1×	817 1.2×	676 1.0×	651 1.2×	287 1.2×	82	2.2k
Marcus A. Maloof United States	16	898 1.1×	1.8k 2.7×	940 1.5×	592 1.1×	153 0.6×	29	2.4k

Countries citing papers authored by Farhan Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Farhan Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhan Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Farhan Ullah. A scholar is included among the top collaborators of Farhan Ullah 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 Farhan Ullah. Farhan Ullah 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

Ahmed, Waqas, et al.. (2025). Elevating e-health excellence with IOTA distributed ledger technology: Sustaining data integrity in next-gen fog-driven systems. Future Generation Computer Systems. 168. 107755–107755. 5 indexed citations

Ullah, Farhan, et al.. (2025). Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data. Sensors. 25(1). 202–202. 3 indexed citations

Ahmad, Jawad, Shahid Latif, Djamel Djenouri, et al.. (2025). A Stochastic Prototypical Network for Few-Shot Intrusion Detection in CAN-Based IoV Network. IEEE Open Journal of the Communications Society. 6. 6421–6436.

Spalluto, C. Mirella, Anna Freeman, Farhan Ullah, et al.. (2025). Beyond Spirometry: Understanding COPD Origins to Support a New Diagnostic Approach. ERJ Open Research. 885–2025.

Latif, Rana Muhammad Amir, Mohammad S. Obaidat, Farhan Ullah, & Khalid Mahmood. (2025). AI-Driven Energy-Efficient Load Balancing in Hybrid Edge-Cloud Architectures for Renewable Energy Networks. IEEE Networking Letters. 8. 34–38.

Ullah, Shamsher, Jianqiang Li, Farhan Ullah, et al.. (2024). The revolution and vision of explainable AI for Android malware detection and protection. Internet of Things. 27. 101320–101320. 6 indexed citations

Naeem, Hamad, et al.. (2024). Augmenting Internet of Medical Things Security: Deep Ensemble Integration and Methodological Fusion. Computer Modeling in Engineering & Sciences. 141(3). 2185–2223. 3 indexed citations

Naeem, Hamad, Farhan Ullah, & Gautam Srivastava. (2024). Classification of intrusion cyber‐attacks in smart power grids using deep ensemble learning with metaheuristic‐based optimization. Expert Systems. 42(1). 20 indexed citations

Ullah, Farhan, Leonardo Mostarda, Diletta Cacciagrano, et al.. (2024). Federated Edge Intelligence for Enhanced Security in Consumer Intermittent Healthcare Devices Using Adversarial Examples. IEEE Transactions on Consumer Electronics. 71(2). 4574–4585. 3 indexed citations

10.

Farhan, Muhammad, et al.. (2024). Enhancing driver attention and road safety through EEG-informed deep reinforcement learning and soft computing. Applied Soft Computing. 167. 112320–112320. 1 indexed citations

11.

Li, Jianqiang, Jie Chen, Ikram Ali, et al.. (2024). Homomorphic Encryption Applications for IoT and Light-Weighted Environments: A Review. IEEE Internet of Things Journal. 12(2). 1222–1246. 2 indexed citations

12.

Farooq, Syed Hassan, et al.. (2023). Experimental investigation of tuned liquid column ball damper’s position on vibration control of structure using different fluids. Innovative Infrastructure Solutions. 8(3). 4 indexed citations

13.

Ullah, Farhan, et al.. (2023). A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging. IEEE Journal of Biomedical and Health Informatics. 28(6). 3293–3304. 27 indexed citations

14.

Bukhari, Maryam, et al.. (2023). A Novel Framework for Melanoma Lesion Segmentation Using Multiparallel Depthwise Separable and Dilated Convolutions with Swish Activations. Journal of Healthcare Engineering. 2023(1). 1847115–1847115. 10 indexed citations

15.

Naeem, Hamad, et al.. (2023). Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification. Expert Systems with Applications. 223. 119952–119952. 41 indexed citations

16.

Ullah, Farhan, Jihoon Moon, Hamad Naeem, & Sohail Jabbar. (2022). Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. The Journal of Supercomputing. 78(17). 19246–19271. 22 indexed citations

17.

Ullah, Farhan, Amjad Alsirhani, Mohammed Mujib Alshahrani, et al.. (2022). Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation. Sensors. 22(18). 6766–6766. 41 indexed citations

18.

Ullah, Farhan, Junfeng Wang, Sohail Jabbar, Fadi Al‐Turjman, & Mamoun Alazab. (2019). Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model. IEEE Access. 7. 141987–141999. 36 indexed citations

19.

Ullah, Farhan, et al.. (2018). LSA Based Smart Assessment Methodology for SDN Infrastructure in IoT Environment. International Journal of Parallel Programming. 48(2). 162–177. 17 indexed citations

20.

Malik, Kaleem Razzaq, et al.. (2016). Multiagent Semantical Annotation Enhancement Model for IoT-Based Energy-Aware Data. International Journal of Distributed Sensor Networks. 12(6). 9103265–9103265. 11 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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