Farhan Ullah

2.8k citations
112 papers · 1.7k · 1 hit paper · h-index 24

Impact in

Papers in

Farhan Ullah

94 papers receiving 1.7k citations

Farhan Ullah's Hit Papers

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic 2023 · 121 citations
1210+1+2Years since publication4080120

Peers

Farhan Ullah
Comparison fields: 5 of 132
  • Signal Processing 664
  • Computer Networks and Communications 780
  • Software 92
  • Information Systems 499
  • Artificial Intelligence 632
Replace Yang Xin with:
Yang Xin China
Hamad Naeem China
Noman Mohammed Canada
Vinayakumar Ravi Saudi Arabia
Han Qiu China
Sattar Hashemi Iran
S. Geetha India
Ricard Gavaldà Spain
Gang Tan United States
Anca Delia Jurcut Ireland
Farhan Ullah relative to Yang Xin China Yang Xin's profile →
Citations per field
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Yang Xin · 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 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 2020145
3
IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic
Hit paper breakdown →
2023121
4 2017111
5 2022103
6 201964
7 201357
8
Orientation Code Matching for Robust Object Search
200156
9 202244
10 202343
11 201842
12 201936
13 202334
14 202230
15 202329
16 201827
17 202224
18 201924
19 202223
20 202423

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 112 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (31 papers), Network Security and Intrusion Detection (24 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 (664 citations), Computer Networks and Communications (780 citations), Software (92 citations), Information Systems (499 citations) and Artificial Intelligence (632 citations). Farhan Ullah has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Hamad Naeem, Sohail Jabbar, Shamsher Ullah, Shehzad Khalid, 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 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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