Subhan Ullah

430 citations
19 papers · 242 · h-index 11

Impact in

Papers in

Subhan Ullah

16 papers receiving 222 citations

Peers

Subhan Ullah
Comparison fields: 5 of 40
  • Signal Processing 84
  • Computer Networks and Communications 120
  • Information Systems 94
  • Artificial Intelligence 130
  • Computer Vision and Pattern Recognition 39
Replace Silke Holtmanns with:
Silke Holtmanns Finland
Liping Peng United States
Zhihong Lu United States
Aleksandra Mileva North Macedonia
Μάριος Αναγνωστόπουλος Greece
Gbadebo Ayoade United States
Mohamed Dâfir Ech-Cherif El Kettani Morocco
Songpon Teerakanok Japan
Parisa Tabriz United States
Subhan Ullah relative to Silke Holtmanns Finland Silke Holtmanns's profile →
Citations per field
00.5×10×15.3×
Silke Holtmanns · 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 20 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

19 of 19 papers shown
#Work
1 201843
2 201925
3 202322
4 202320
5 202219
6 202418
7 202216
8 201715
9 202313
10 202411
11 202310
12 202310
13 201810
14 20245
15 20234
16 20251
17 20250
18 20240
19 20230

About Subhan Ullah

Subhan Ullah is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 242 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers), Cryptography and Data Security (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Chaos-based Image/Signal Encryption (3 papers), Stock Market Forecasting Methods (3 papers), User Authentication and Security Systems (3 papers) and Advanced Authentication Protocols Security (2 papers). The work is most often cited by research in Signal Processing (84 citations), Computer Networks and Communications (120 citations), Information Systems (94 citations), Artificial Intelligence (130 citations) and Computer Vision and Pattern Recognition (39 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, Xiong Luo, Ata Ullah, Dina A. Alabbad, Muzammil Khan and Rizwan Ahmad. Their work appears in journals such as Sensors, Applied Sciences, IEEE Access, IEEE Transactions on Intelligent Transportation Systems 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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