Jamin Rahman Jim

1.1k total citations · 4 hit papers
17 papers, 434 citations indexed

About

Jamin Rahman Jim is a scholar working on Artificial Intelligence, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jamin Rahman Jim has authored 17 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Plant Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jamin Rahman Jim's work include Smart Agriculture and AI (5 papers), Leaf Properties and Growth Measurement (4 papers) and AI in cancer detection (3 papers). Jamin Rahman Jim is often cited by papers focused on Smart Agriculture and AI (5 papers), Leaf Properties and Growth Measurement (4 papers) and AI in cancer detection (3 papers). Jamin Rahman Jim collaborates with scholars based in Bangladesh, Spain and Hungary. Jamin Rahman Jim's co-authors include Md. Mohsin Kabir, M. F. Mridha, Partha Malakar, Jungpil Shin, Kamruddin Nur, Nobuyoshi Asai, Anik Saha and Md. Jakir Hossen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Jamin Rahman Jim

15 papers receiving 409 citations

Hit Papers

Deep learning for medical image segmentation: State-of-th... 2024 2026 2025 2024 2024 2024 2024 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning for medical image segmentation: State-of-the-art advancements and challenges
    2024 110 citations Jamin Rahman Jim, Md. Mohsin Kabir et al. Informatics in Medicine Unlocked profile →
  2. Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
    2024 71 citations Jamin Rahman Jim, Partha Malakar et al. profile →
  3. A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
    2024 55 citations Jamin Rahman Jim, Md. Mohsin Kabir et al. SHILAP Revista de lepidopterología profile →
  4. Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges
    2024 50 citations Jamin Rahman Jim, M. F. Mridha et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jamin Rahman Jim Bangladesh 9 136 87 82 41 38 17 434
Abrar Almjally Saudi Arabia 7 122 0.9× 107 1.2× 79 1.0× 38 0.9× 33 0.9× 19 415
Tamanna Siddiqui India 9 152 1.1× 103 1.2× 101 1.2× 63 1.5× 45 1.2× 33 506
Kaniz Fatema Bangladesh 9 181 1.3× 56 0.6× 78 1.0× 14 0.3× 22 0.6× 31 487
Ninni Singh India 14 117 0.9× 81 0.9× 53 0.6× 24 0.6× 30 0.8× 28 427
Alaa Ali Hameed Türkiye 11 233 1.7× 105 1.2× 195 2.4× 18 0.4× 34 0.9× 58 603
Mohaimenul Azam Khan Raiaan Bangladesh 10 231 1.7× 93 1.1× 98 1.2× 15 0.4× 22 0.6× 26 589
Renato R. Maaliw Philippines 12 78 0.6× 52 0.6× 75 0.9× 13 0.3× 37 1.0× 69 396
Mohammad Abdul Azim Bangladesh 8 101 0.7× 58 0.7× 59 0.7× 22 0.5× 26 0.7× 28 393
Minakshi Memoria India 12 126 0.9× 66 0.8× 64 0.8× 19 0.5× 30 0.8× 64 472
Steve A. Adeshina Nigeria 13 182 1.3× 122 1.4× 111 1.4× 13 0.3× 52 1.4× 81 489

Countries citing papers authored by Jamin Rahman Jim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jamin Rahman Jim

This figure shows the co-authorship network connecting the top 25 collaborators of Jamin Rahman Jim. A scholar is included among the top collaborators of Jamin Rahman Jim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jamin Rahman Jim. Jamin Rahman Jim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Jim, Jamin Rahman, et al.. (2025). A systematic review of single-cell RNA sequencing applications and innovations. Computational Biology and Chemistry. 115. 108362–108362.
2.
Jim, Jamin Rahman, et al.. (2025). XLTLDisNet: A novel and lightweight approach to identify tomato leaf diseases with transparency. Heliyon. 11(4). e42575–e42575. 5 indexed citations
3.
Jim, Jamin Rahman, et al.. (2025). Deep learning-based classification, detection, and segmentation of tomato leaf diseases: A state-of-the-art review. Artificial Intelligence in Agriculture. 15(2). 192–220. 8 indexed citations
4.
Jim, Jamin Rahman, et al.. (2025). XLLC-Net: A lightweight and explainable CNN for accurate lung cancer classification using histopathological images. PLoS ONE. 20(5). e0322488–e0322488. 1 indexed citations
5.
Jim, Jamin Rahman, et al.. (2025). MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification. IEEE Access. 13. 93977–94008.
6.
Jim, Jamin Rahman, et al.. (2024). Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review. Computers & Security. 140. 103747–103747. 13 indexed citations
7.
Jim, Jamin Rahman, et al.. (2024). A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture. SHILAP Revista de lepidopterología. 9. 100647–100647. 9 indexed citations
8.
Kabir, Md. Mohsin, et al.. (2024). Terrain detection and segmentation for autonomous vehicle navigation: A state-of-the-art systematic review. Information Fusion. 113. 102644–102644. 23 indexed citations
9.
Jim, Jamin Rahman, et al.. (2024). A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions. SHILAP Revista de lepidopterología. 5. 100340–100340. 55 indexed citations breakdown →
10.
Saha, Anik, et al.. (2024). Deep learning-based natural language processing in human–agent interaction: Applications, advancements and challenges. SHILAP Revista de lepidopterología. 9. 100112–100112. 6 indexed citations
11.
Jim, Jamin Rahman, et al.. (2024). Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges. Sustainable Cities and Society. 116. 105882–105882. 8 indexed citations
12.
Kabir, Md. Mohsin, et al.. (2024). Tea leaf age quality: Age-stratified tea leaf quality classification dataset. Data in Brief. 54. 110462–110462. 3 indexed citations
13.
Jim, Jamin Rahman, et al.. (2024). Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges. IEEE Access. 12. 35728–35753. 50 indexed citations breakdown →
14.
Jim, Jamin Rahman, et al.. (2024). Explainable AI approaches in deep learning: Advancements, applications and challenges. Computers & Electrical Engineering. 117. 109246–109246. 44 indexed citations
15.
Jim, Jamin Rahman, et al.. (2024). Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review. 6. 100059–100059. 71 indexed citations breakdown →
16.
Jim, Jamin Rahman, et al.. (2024). Deep learning for medical image segmentation: State-of-the-art advancements and challenges. Informatics in Medicine Unlocked. 47. 101504–101504. 110 indexed citations breakdown →
17.
Jim, Jamin Rahman, et al.. (2023). Toward Trustworthy Metaverse: Advancements and Challenges. IEEE Access. 11. 118318–118347. 28 indexed citations

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.

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