Jamin Rahman Jim
Impact in
- Health Informatics top 5%
-
- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 3
- Sentiment Analysis and Opinion Mining 2
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- Advanced Neural Network Applications 3
- Co-authors
- Md. Mohsin Kabir (17 shared papers)M. F. Mridha (17 shared papers)Md. Eshmam Rayed (3 shared papers)Kamruddin Nur (2 shared papers)Jungpil Shin (2 shared papers)Partha Malakar (1 shared paper)Nobuyoshi Asai (1 shared paper)Anik Saha (1 shared paper)
- Journals
- IEEE Access (3 papers)PLoS ONE (1 paper)Computers & Security (1 paper)Data in Brief (1 paper)Sustainable Cities and Society (1 paper)
- Partner nations
- BangladeshSpainHungary
In The Last Decade
Jamin Rahman Jim
17 papers receiving 522 citations
Jamin Rahman Jim's Hit Papers
Peers
Comparison fields: 5 of 112
- Health Informatics 21
- Neurology 44
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 149
- Radiology, Nuclear Medicine and Imaging 89
Countries citing papers authored by Jamin Rahman Jim
This map shows the geographic impact of Jamin Rahman Jim'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 Jamin Rahman Jim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamin Rahman Jim more than expected).
Fields of papers citing papers by Jamin Rahman Jim
This network shows the impact of papers produced by Jamin Rahman Jim. 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 Jamin Rahman Jim. The network helps show where Jamin Rahman Jim may publish in the future.
Co-authors
The 10 scholars most cited alongside Jamin Rahman Jim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning for medical image segmentation: State-of-the-art advancements and challenges Hit paper breakdown → | 2024 | 137 |
| 2 | Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review Hit paper breakdown → | 2024 | 83 |
| 3 | A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions Hit paper breakdown → | 2024 | 68 |
| 4 | Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges Hit paper breakdown → | 2024 | 64 |
| 5 | Explainable AI approaches in deep learning: Advancements, applications and challenges Hit paper breakdown → | 2024 | 60 |
| 6 | 2023 | 31 | |
| 7 | 2024 | 30 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2025 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2024 | 7 | |
| 13 | 2025 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 0 |
About Jamin Rahman Jim
Jamin Rahman Jim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Radiology, Nuclear Medicine and Imaging and Ecology, having authored 18 papers that have together received 548 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Leaf Properties and Growth Measurement (4 papers), Advanced Neural Network Applications (3 papers), AI in cancer detection (3 papers), Phytoplasmas and Hemiptera pathogens (2 papers), COVID-19 diagnosis using AI (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Health Informatics (21 citations), Neurology (44 citations), Computer Vision and Pattern Recognition (96 citations), Artificial Intelligence (149 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Jamin Rahman Jim has collaborated with scholars based in Bangladesh, Spain and Hungary. Frequent co-authors include Md. Mohsin Kabir, M. F. Mridha, Md. Eshmam Rayed, Kamruddin Nur, Jungpil Shin, Partha Malakar, Nobuyoshi Asai, Anik Saha, Md. Jakir Hossen and M. Anwar Hossain. Their work appears in journals such as IEEE Access, PLoS ONE, Computers & Security, Data in Brief and Sustainable Cities and Society.
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.