Imran Ashraf
Impact in
- Health Informatics top 1%
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
-
- Sentiment Analysis and Opinion Mining 40
- Imbalanced Data Classification Techniques 19
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- Spam and Phishing Detection 24
- Co-authors
- Furqan Rustam (100 shared papers)Lester Ho (6 shared papers)Soojung Hur (31 shared papers)Isabel de la Torre Díez (59 shared papers)Yongwan Park (24 shared papers)Gyu Sang Choi (32 shared papers)Arif Mehmood (29 shared papers)Muhammad Umer (52 shared papers)
- Journals
- IEEE Access (45 papers)Sensors (42 papers)PeerJ Computer Science (19 papers)Scientific Reports (17 papers)Multimedia Tools and Applications (16 papers)
- Partner nations
- South KoreaPakistanSpain
In The Last Decade
Imran Ashraf
362 papers receiving 6.7k citations
Imran Ashraf's Hit Papers
Peers
Comparison fields: 5 of 197
- Health Informatics 115
- Health Information Management 359
- Artificial Intelligence 2.1k
- Computer Networks and Communications 1.1k
- Information Systems 865
Countries citing papers authored by Imran Ashraf
This map shows the geographic impact of Imran Ashraf'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 Imran Ashraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imran Ashraf more than expected).
Fields of papers citing papers by Imran Ashraf
This network shows the impact of papers produced by Imran Ashraf. 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 Imran Ashraf. The network helps show where Imran Ashraf may publish in the future.
Co-authors
The 25 scholars most cited alongside Imran Ashraf, 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 380 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 286 | |
| 2 | Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19 Hit paper breakdown → | 2021 | 160 |
| 3 | 2021 | 142 | |
| 4 | 2019 | 135 | |
| 5 | 2010 | 113 | |
| 6 | Garlic (Allium sativum) supplementation with standard antidiabetic agent provides better diabetic control in type 2 diabetes patients. | 2011 | 105 |
| 7 | 2022 | 101 | |
| 8 | 2022 | 101 | |
| 9 | 2022 | 88 | |
| 10 | 2022 | 85 | |
| 11 | 2021 | 84 | |
| 12 | A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions Hit paper breakdown → | 2023 | 83 |
| 13 | 2022 | 83 | |
| 14 | 2022 | 82 | |
| 15 | 2020 | 68 | |
| 16 | 2020 | 67 | |
| 17 | 2010 | 67 | |
| 18 | 2022 | 66 | |
| 19 | 2019 | 64 | |
| 20 | 2010 | 64 |
About Imran Ashraf
Imran Ashraf is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 380 papers that have together received 7.0k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (40 papers), COVID-19 diagnosis using AI (25 papers), Spam and Phishing Detection (24 papers), Indoor and Outdoor Localization Technologies (23 papers), Artificial Intelligence in Healthcare (21 papers), IoT and Edge/Fog Computing (20 papers), Imbalanced Data Classification Techniques (19 papers) and Network Security and Intrusion Detection (18 papers). The work is most often cited by research in Health Informatics (115 citations), Health Information Management (359 citations), Artificial Intelligence (2.1k citations), Computer Networks and Communications (1.1k citations) and Information Systems (865 citations). Imran Ashraf has collaborated with scholars based in South Korea, Pakistan and Spain. Frequent co-authors include Furqan Rustam, Lester Ho, Soojung Hur, Isabel de la Torre Díez, Yongwan Park, Gyu Sang Choi, Arif Mehmood, Muhammad Umer, Ernesto Lee and Federico Boccardi. Their work appears in journals such as IEEE Access, Sensors, PeerJ Computer Science, Scientific Reports 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.