Ashraf Ullah
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Imbalanced Data Classification Techniques
Papers in
-
- Imbalanced Data Classification Techniques 4
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 3
- Co-authors
- Khairullah Khan (3 shared papers)Baharum Baharudin (2 shared papers)Nadeem Javaid (4 shared papers)Adamu Sani Yahaya (2 shared papers)Muhammad Umar Javed (2 shared papers)Muhammad Shoaib (1 shared paper)Muhammad Imran (1 shared paper)Omaji Samuel (1 shared paper)
- Journals
- IEEE Access (2 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Kuwait Journal of Science (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Ashraf Ullah
26 papers receiving 310 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 153
- Human-Computer Interaction 14
- Control and Systems Engineering 58
- Information Systems 50
- Electrical and Electronic Engineering 94
Countries citing papers authored by Ashraf Ullah
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 88 | |
| 2 | 2022 | 41 | |
| 3 | 2020 | 40 | |
| 4 | 2019 | 30 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 15 | |
| 8 | Pattern and semantic analysis to improve unsupervised techniques for opinion target identification | 2016 | 10 |
| 9 | 2023 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 2 | |
| 20 | 2021 | 2 |
About Ashraf Ullah
Ashraf Ullah is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Oncology and Management Science and Operations Research, having authored 30 papers that have together received 329 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (4 papers), Electricity Theft Detection Techniques (4 papers), Imbalanced Data Classification Techniques (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Smart Grid Security and Resilience (3 papers), Advanced Text Analysis Techniques (3 papers), COVID-19 diagnosis using AI (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Human-Computer Interaction (14 citations), Control and Systems Engineering (58 citations), Information Systems (50 citations) and Electrical and Electronic Engineering (94 citations). Ashraf Ullah has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Khairullah Khan, Baharum Baharudin, Nadeem Javaid, Adamu Sani Yahaya, Muhammad Umar Javed, Muhammad Shoaib, Muhammad Imran, Omaji Samuel, Md. Golam Rabiul Alam and Md. Ashraful Alam. Their work appears in journals such as IEEE Access, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Human-Computer Interaction, Kuwait Journal of Science 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.