Abdur Rasool
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
- Information Systems top 5%
- Spam and Phishing Detection
- Blockchain Technology Applications and Security
Papers in
-
- Sentiment Analysis and Opinion Mining 6
- Topic Modeling 4
- Text and Document Classification Technologies 3
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- DNA and Biological Computing 6
- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Qingshan Jiang (16 shared papers)Qiang Qu (10 shared papers)Hui Chen (7 shared papers)Ran Tao (2 shared papers)Tayyab Naveed (1 shared paper)Wenyin Liu (1 shared paper)Yan Wang (1 shared paper)Guohua Liu (1 shared paper)
- Journals
- Symmetry (3 papers)PeerJ Computer Science (2 papers)Electronics (2 papers)Computers in Biology and Medicine (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Abdur Rasool
31 papers receiving 483 citations
Abdur Rasool's Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 262
- Information Systems 179
- Health Information Management 26
- Signal Processing 55
- Health Informatics 6
Countries citing papers authored by Abdur Rasool
This map shows the geographic impact of Abdur Rasool'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 Abdur Rasool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdur Rasool more than expected).
Fields of papers citing papers by Abdur Rasool
This network shows the impact of papers produced by Abdur Rasool. 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 Abdur Rasool. The network helps show where Abdur Rasool may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdur Rasool, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 81 | |
| 2 | 2022 | 73 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 30 | |
| 5 | 2024 | 27 | |
| 6 | Emotion-Aware Embedding Fusion in Large Language Models (Flan-T5, Llama 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation Hit paper breakdown → | 2025 | 24 |
| 7 | 2022 | 23 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2023 | 15 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 9 | |
| 16 | 2025 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Abdur Rasool
Abdur Rasool is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 500 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), DNA and Biological Computing (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Blockchain Technology Applications and Security (4 papers), Topic Modeling (4 papers), Stock Market Forecasting Methods (3 papers), Spam and Phishing Detection (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (262 citations), Information Systems (179 citations), Health Information Management (26 citations), Signal Processing (55 citations) and Health Informatics (6 citations). Abdur Rasool has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Qingshan Jiang, Qiang Qu, Hui Chen, Ran Tao, Tayyab Naveed, Wenyin Liu, Yan Wang, Guohua Liu, Vincent Chan and A S M Touhidul Hasan. Their work appears in journals such as Symmetry, PeerJ Computer Science, Electronics, Computers in Biology and Medicine and International Journal of Environmental Research and Public Health.
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.