Farhan Ullah

2.8k citations
117 papers · 1.9k · 1 hit paper · h-index 24

Impact in

Papers in

Farhan Ullah

98 papers receiving 1.8k citations

Farhan Ullah's Hit Papers

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic 2023 · 123 citations
1230+1+2Years since publication4080120

Peers

Farhan Ullah
Comparison fields: 5 of 134
  • Signal Processing 704
  • Computer Networks and Communications 835
  • Information Systems 545
  • Software 98
  • Artificial Intelligence 669
Replace Hamad Naeem with:
Hamad Naeem China
Vinayakumar Ravi Saudi Arabia
Yang Xin China
Fei Xue China
Mohammad Alamgir Hossain United Kingdom
Mario Luca Bernardi Italy
Muazzam A. Khan Pakistan
Marta Cimitile Italy
Noman Mohammed Canada
Sattar Hashemi Iran
Farhan Ullah relative to Hamad Naeem China Hamad Naeem's profile →
Citations per field
00.5×10×14.5×
Hamad Naeem · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019186
2 2020158
3 2017129
4
IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic
Hit paper breakdown →
2023123
5 2022110
6 201967
7 201362
8
Orientation Code Matching for Robust Object Search
200156
9 202246
10 202345
11 201844
12 201941
13 202334
14 202333
15 202231
16 201827
17 201926
18 202225
19 202225
20 202424

About Farhan Ullah

Farhan Ullah is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 117 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (31 papers), Network Security and Intrusion Detection (25 papers), Digital and Cyber Forensics (10 papers), IoT and Edge/Fog Computing (9 papers), Software Engineering Research (6 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 (704 citations), Computer Networks and Communications (835 citations), Information Systems (545 citations), Software (98 citations) and Artificial Intelligence (669 citations). Farhan Ullah has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Hamad Naeem, Sohail Jabbar, Shehzad Khalid, Shamsher Ullah, Gautam Srivastava, Muhammad Rashid Naeem, Fadi Al‐Turjman, Leonardo Mostarda, Jerry Chun‐Wei Lin and Muhammad Farhan. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Internet of Things Journal, IEEE Access, 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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