Farhan Ullah

2.9k citations

112 papers · 1.8k indexed · 1 hit paper · h-index 22

Impact in

Signal Processing top 1%
- Advanced Malware Detection Techniques
Computer Networks and Communications top 1%
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing

Papers in ⓘ

Computer Networks and Communications 43
- Network Security and Intrusion Detection 24
- IoT and Edge/Fog Computing 12
Signal Processing 34
- Advanced Malware Detection Techniques 32

Co-authors: Sohail Jabbar (15 shared papers)Hamad Naeem (17 shared papers)Shehzad Khalid (8 shared papers)Shamsher Ullah (16 shared papers)Gautam Srivastava (16 shared papers)Muhammad Rashid Naeem (9 shared papers)Fadi Al‐Turjman (7 shared papers)Leonardo Mostarda (12 shared papers)
Journals: IEEE Transactions on Consumer Electronics (5 papers)IEEE Access (4 papers)IEEE Internet of Things Journal (4 papers)Sensors (4 papers)PLoS ONE (3 papers)
Partner nations: China Pakistan Saudi Arabia

In The Last Decade

Farhan Ullah

91 papers receiving 1.7k citations

Hit Papers

align trajectories log scale

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic 2023 · 108 citations

Peers

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-authors

The 25 scholars most cited alongside Farhan Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Farhan Ullah Line = papers co-authored together Farhan Ullah links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach IEEE Access ·Farhan Ullah, Hamad Naeem, Sohail Jabbar, Shehzad Khalid, Muhammad Ahsan Latif, Fadi Al‐Turjman, Leonardo Mostarda	2019	158
2	Malware detection in industrial internet of things based on hybrid image visualization and deep learning model Ad Hoc Networks ·Hamad Naeem, Farhan Ullah, Muhammad Rashid Naeem, Shehzad Khalid, Danish Vasan, Sohail Jabbar, Saqib Saeed	2020	144
3	Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare Wireless Communications and Mobile Computing ·Sohail Jabbar, Farhan Ullah, Shehzad Khalid, Murad Khan, Kijun Han	2017	114
4	Semantic interoperability for big-data in heterogeneous IoT infrastructure for healthcare Sustainable Cities and Society ·Farhan Ullah, Muhammad Asif Habib, Muhammad Farhan, Shehzad Khalid, Mehr Yahya Durrani, Sohail Jabbar	2017	110
5	IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic Digital Communications and Networks ·Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun‐Wei Lin Hit paper breakdown →	2023	108
6	Elliptic Curve Cryptography; Applications, challenges, recent advances, and future trends: A comprehensive survey Computer Science Review ·Shamsher Ullah, Jiangbin Zheng, Nizamud Din, Muhammad Tanveer Hussain, Farhan Ullah, Mahwish Yousaf	2022	96
7	Identification of malicious code variants based on image visualization Computers & Electrical Engineering ·Hamad Naeem, Bing Guo, Muhammad Rashid Naeem, Farhan Ullah, Hamza Aldabbas, Muhammad Sufyan Javed	2019	61
8	Orientation Code Matching for Robust Object Search IEICE Transactions on Information and Systems ·Farhan Ullah, Shun’ichi Kaneko, Satoru Igarashi	2001	56
9	The Omega-3 Fatty Acid Eicosapentaenoic Acid Accelerates Disease Progression in a Model of Amyotrophic Lateral Sclerosis PLoS ONE ·Ping K. Yip, Chiara Pizzasegola, Stacy Gladman, Maria Luigia Biggio, Marianna Marino, Maduka Jayasinghe, Farhan Ullah, Simon C. Dyall, Andrea Malaspina, Caterina Bendotti, Adina T. Michael‐Titus	2013	55
10	Plagiarism detection in students’ programming assignments based on semantics: multimedia e-learning based smart assessment methodology Multimedia Tools and Applications ·Farhan Ullah, Junfeng Wang, Muhammad Farhan, Sohail Jabbar, Zhiming Wu, Shehzad Khalid	2018	42
11	Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification Expert Systems with Applications ·Hamad Naeem, Shi Dong, Olorunjube James Falana, Farhan Ullah	2023	41
12	Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation Sensors ·Farhan Ullah, Amjad Alsirhani, Mohammed Mujib Alshahrani, Abdullah Alomari, Hamad Naeem, Syed Aziz Shah	2022	41
13	Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model IEEE Access ·Farhan Ullah, Junfeng Wang, Sohail Jabbar, Fadi Al‐Turjman, Mamoun Alazab	2019	36
14	A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging IEEE Journal of Biomedical and Health Informatics ·Farhan Ullah, Gautam Srivastava, Heng Xiao, Shamsher Ullah, Jerry Chun‐Wei Lin, Yue Zhao	2023	27
15	Diagnosis and Treatment of Liver Disease: Current Trends and Future Directions Cureus ·Hina Wazir, Marium Abid, Binish Essani, Hira Saeed, Muhammad Ahmad Khan, Fnu Nasrullah, Usama Qadeer, Khalid Alshammari, Giustino Varrassi, Muhammad Ali Muzammil, Areeba Maryam, Abdul Rehman Shah Syed, Abdul Ahad Shah, Satish Kinger, Farhan Ullah	2023	27
16	A framework for fast automatic image cropping based on deep saliency map detection and gaussian filter International Journal of Computers and Applications ·Zia-ur Rahman, Yi‐Fei Pu, Muhammad Aamir, Farhan Ullah	2018	27
17	Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation Sensors ·Farhan Ullah, Shamsher Ullah, Muhammad Rashid Naeem, Leonardo Mostarda, Seungmin Rho, Xiaochun Cheng	2022	26
18	A Cross-Platform Malware Variant Classification based on Image Representation KSII Transactions on Internet and Information Systems ·Hamad Naeem, Bing Guo, Farhan Ullah, Muhammad Rashid Naeem	2019	24
19	Deep Learning Methods for Malware and Intrusion Detection: A Systematic Literature Review Security and Communication Networks ·Rahman Ali, Asmat Ali, Farkhund Iqbal, Mohammed Hussain, Farhan Ullah	2022	23
20	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 ·Farhan Ullah, Jihoon Moon, Hamad Naeem, Sohail Jabbar	2022	22

About Farhan Ullah

Farhan Ullah is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 112 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (32 papers), Network Security and Intrusion Detection (24 papers), IoT and Edge/Fog Computing (12 papers), Digital and Cyber Forensics (10 papers), Software Engineering Research (7 papers), Spam and Phishing Detection (5 papers), Cryptography and Data Security (4 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). The work is most often cited by research in Signal Processing (645 citations), Computer Networks and Communications (837 citations), Information Systems (544 citations), Software (87 citations) and Artificial Intelligence (657 citations). Farhan Ullah has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent 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. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Access, IEEE Internet of Things Journal, Sensors and PLoS ONE.

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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