Abdur Rasool
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Blockchain Technology Applications and Security
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
Papers in
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- Sentiment Analysis and Opinion Mining 7
- Topic Modeling 4
- Text and Document Classification Technologies 3
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- Blockchain Technology Applications and Security 4
- Co-authors
- Qingshan Jiang (21 shared papers)Qiang Qu (12 shared papers)Hui Chen (9 shared papers)Ali Aljofey (2 shared papers)Saba Aslam (6 shared papers)Wenyin Liu (1 shared paper)Yan Wang (1 shared paper)Ran Tao (2 shared papers)
- Journals
- Symmetry (3 papers)Electronics (2 papers)PeerJ Computer Science (2 papers)Frontiers in Genetics (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Abdur Rasool
37 papers receiving 596 citations
Abdur Rasool's Hit Papers
Peers
Comparison fields: 5 of 82
- Information Systems 214
- Artificial Intelligence 304
- Health Information Management 29
- Signal Processing 60
- Health Informatics 7
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 89 | |
| 2 | 2022 | 82 | |
| 3 | 2019 | 43 | |
| 4 | 2020 | 41 | |
| 5 | 2024 | 31 | |
| 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 | 29 |
| 7 | 2022 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2024 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 15 | |
| 14 | 2025 | 13 | |
| 15 | 2025 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 8 |
About Abdur Rasool
Abdur Rasool is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Molecular Biology, having authored 40 papers that have together received 615 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), DNA and Biological Computing (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Stock Market Forecasting Methods (5 papers), Blockchain Technology Applications and Security (4 papers), Topic Modeling (4 papers), Cellular Automata and Applications (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Information Systems (214 citations), Artificial Intelligence (304 citations), Health Information Management (29 citations), Signal Processing (60 citations) and Health Informatics (7 citations). Abdur Rasool has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Qingshan Jiang, Qiang Qu, Hui Chen, Ali Aljofey, Saba Aslam, Wenyin Liu, Yan Wang, Ran Tao, Tayyab Naveed and A S M Touhidul Hasan. Their work appears in journals such as Symmetry, Electronics, PeerJ Computer Science, Frontiers in Genetics and International Journal of Medical Informatics.
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.