Ashraf Ullah

665 citations
40 papers · 449 · h-index 10

Impact in

Papers in

Ashraf Ullah

35 papers receiving 435 citations

Peers

Ashraf Ullah
Comparison fields: 5 of 82
  • Artificial Intelligence 186
  • Human-Computer Interaction 28
  • Control and Systems Engineering 85
  • Electrical and Electronic Engineering 142
  • Information Systems 57
Replace Almas Anjum with:
Almas Anjum Pakistan
Dorin Moldovan Romania
Amani A. Alneil Saudi Arabia
Yixin Cai United States
P. Dayananda India
Allah Ditta Pakistan
Ying Lv China
Ayesha Atta Pakistan
Rehab F. Abdel‐Kader Egypt
Sovon Chakraborty Bangladesh
Ashraf Ullah relative to Almas Anjum Pakistan Almas Anjum's profile →
Citations per field
00.5×2×4×6×8.5×
Almas Anjum · 1×
Citations per year

Countries citing papers authored by Ashraf Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Ashraf Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashraf 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 Ashraf Ullah Line = papers co-authored together Ashraf Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 202248
3 202043
4 201938
5 202119
6 201817
7 202317
8 202314
9 202113
10 202213
11
Pattern and semantic analysis to improve unsupervised techniques for opinion target identification
201610
12 202210
13 202310
14 20249
15 20219
16 20218
17 20238
18 20207
19 20217
20 20237

About Ashraf Ullah

Ashraf Ullah is a scholar working on Human-Computer Interaction, Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 40 papers that have together received 449 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (9 papers), Imbalanced Data Classification Techniques (7 papers), Interactive and Immersive Displays (5 papers), Water Systems and Optimization (5 papers), Smart Grid Security and Resilience (4 papers), Tactile and Sensory Interactions (4 papers), Virtual Reality Applications and Impacts (4 papers) and Stock Market Forecasting Methods (3 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Human-Computer Interaction (28 citations), Control and Systems Engineering (85 citations), Electrical and Electronic Engineering (142 citations) and Information Systems (57 citations). Ashraf Ullah has collaborated with scholars based in Pakistan, Canada and United States. Frequent co-authors include Khairullah Khan, Nadeem Javaid, Baharum Baharudin, Adamu Sani Yahaya, Muhammad Umar Javed, Muhammad Ali Imran, Omaji Samuel, Muhammad Shoaib, Md. Golam Rabiul Alam and Md. Ashraful Alam. Their work appears in journals such as IEEE Access, Journal of King Saud University - Computer and Information Sciences, Wireless Communications and Mobile Computing, Proceedings of the ACM on Human-Computer Interaction and Experimental Cell Research.

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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