Subhan Ullah

464 citations
22 papers · 286 · h-index 12

Impact in

Papers in

Subhan Ullah

19 papers receiving 269 citations

Peers

Subhan Ullah
Comparison fields: 5 of 45
  • Signal Processing 98
  • Computer Networks and Communications 139
  • Information Systems 111
  • Artificial Intelligence 147
  • Computer Vision and Pattern Recognition 43
Replace Woongryul Jeon with:
Woongryul Jeon South Korea
Nour El Madhoun France
Yassine Sadqi Morocco
Morteza Safaei Pour United States
William R. Claycomb United States
Mohamed Dâfir Ech-Cherif El Kettani Morocco
Songpon Teerakanok Japan
Surinder Singh Khurana India
Gbadebo Ayoade United States
Bazara I. A. Barry Sudan
Subhan Ullah relative to Woongryul Jeon South Korea Woongryul Jeon's profile →
Citations per field
00.5×10×20×26.7×
Woongryul Jeon · 1×
Citations per year

Countries citing papers authored by Subhan Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Subhan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Subhan 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 Subhan Ullah Line = papers co-authored together Subhan Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201851
2 202326
3 202225
4 201925
5 202322
6 202421
7 202217
8 201717
9 202416
10 202314
11 202312
12 202311
13 201811
14 20236
15 20245
16 20224
17 20251
18 20251
19 20241
20 20230

About Subhan Ullah

Subhan Ullah is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (8 papers), Cryptography and Data Security (4 papers), User Authentication and Security Systems (3 papers), Chaos-based Image/Signal Encryption (3 papers), Spam and Phishing Detection (3 papers), Sentiment Analysis and Opinion Mining (3 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Signal Processing (98 citations), Computer Networks and Communications (139 citations), Information Systems (111 citations), Artificial Intelligence (147 citations) and Computer Vision and Pattern Recognition (43 citations). Subhan Ullah has collaborated with scholars based in Pakistan, Italy and Austria. Frequent co-authors include Tahir Ahmad, Attaullah Buriro, Bernhard Rinner, Lucio Marcenaro, Zahid Hasan Mahmood, Ata Ullah, Xiong Luo, Rizwan Ahmad, Dina A. Alabbad and Muzammil Khan. Their work appears in journals such as Sensors, Applied Sciences, IEEE Access, Social Network Analysis and Mining and Multimedia Tools and Applications.

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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