Md. Mohsin Kabir

3.0k total citations · 5 hit papers
73 papers, 1.3k citations indexed

About

Md. Mohsin Kabir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Md. Mohsin Kabir has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 11 papers in Plant Science. Recurrent topics in Md. Mohsin Kabir's work include Smart Agriculture and AI (11 papers), Advanced Neural Network Applications (8 papers) and COVID-19 diagnosis using AI (6 papers). Md. Mohsin Kabir is often cited by papers focused on Smart Agriculture and AI (11 papers), Advanced Neural Network Applications (8 papers) and COVID-19 diagnosis using AI (6 papers). Md. Mohsin Kabir collaborates with scholars based in Bangladesh, Japan and Saudi Arabia. Md. Mohsin Kabir's co-authors include M. F. Mridha, Jamin Rahman Jim, Aklima Akter Lima, Sujoy Chandra Das, Jungpil Shin, Yutaka Watanobe, Md. Rashedul Islam, Sultan Alfarhood, Mejdl Safran and Kamruddin Nur and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Md. Mohsin Kabir

67 papers receiving 1.2k citations

Hit Papers

5 papers align trajectories

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.

Deep learning for medical image segmentation: State-of-the-art advancements and challenges

2024 110 citations Jamin Rahman Jim, Md. Mohsin Kabir et al. profile →
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review

2024 71 citations Jamin Rahman Jim, Md. Mohsin Kabir et al. profile →
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM

2024 56 citations Md. Mohsin Kabir, Mejdl Safran et al. profile →
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 →
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

Md. Mohsin Kabir

CVPR

RNMI

Saroj Kr. Biswas India

Galip Aydın Türkiye

Aniati Murni Arymurthy Indonesia

Na Zou United States

Abdulmajeed Alsufyani Saudi Arabia

Shilpa Gite India

Adnan Khashman Cyprus

Shtwai Alsubai Saudi Arabia

Shivani Goel India

Yanhong Zhou China

Saroj Kr. Biswas India

Md. Mohsin Kabir

756 ×1.7

267 ×1.3

CVPR

76 ×0.5

274 ×2.1

RNMI

143 ×1.4

Citations per year, relative to Md. Mohsin Kabir Md. Mohsin Kabir (= 1×) peers Saroj Kr. Biswas

Countries citing papers authored by Md. Mohsin Kabir

Since Specialization

Citations

This map shows the geographic impact of Md. Mohsin Kabir'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 Md. Mohsin Kabir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Mohsin Kabir more than expected).

Fields of papers citing papers by Md. Mohsin Kabir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Mohsin Kabir. 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 Md. Mohsin Kabir. The network helps show where Md. Mohsin Kabir may publish in the future.

Co-authorship network of co-authors of Md. Mohsin Kabir

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Mohsin Kabir. A scholar is included among the top collaborators of Md. Mohsin Kabir 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 Md. Mohsin Kabir. Md. Mohsin Kabir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nobel, S. M. Nuruzzaman, S M Masfequier Rahman Swapno, Md. Mohsin Kabir, et al.. (2025). CRT: A Convolutional Recurrent Transformer for Automatic Sleep State Detection. IEEE Journal of Biomedical and Health Informatics. 29(6). 4452–4462. 5 indexed citations

Monowar, Muhammad Mostafa, et al.. (2025). Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques. Frontiers in Artificial Intelligence. 7. 1506770–1506770. 7 indexed citations

Saha, Dip Kumar, M. F. Mridha, Sultan Alfarhood, et al.. (2025). Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification. BMC Infectious Diseases. 25(1). 403–403. 2 indexed citations

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

Kabir, Md. Mohsin, et al.. (2024). Computer vision algorithms in healthcare: Recent advancements and future challenges. Computers in Biology and Medicine. 185. 109531–109531. 4 indexed citations

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

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

Nobel, S. M. Nuruzzaman, et al.. (2024). Development of a cutting-edge ensemble pipeline for rapid and accurate diagnosis of plant leaf diseases. Artificial Intelligence in Agriculture. 14. 56–72. 4 indexed citations

Nobel, S. M. Nuruzzaman, et al.. (2024). XAI-FruitNet: An explainable deep model for accurate fruit classification. Journal of Agriculture and Food Research. 18. 101474–101474. 6 indexed citations

10.

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 →

11.

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

12.

Kabir, Md. Mohsin, et al.. (2024). DenseNet201Plus: Cost-effective transfer-learning architecture for rapid leaf disease identification with attention mechanisms. Heliyon. 10(15). e35625–e35625. 11 indexed citations

13.

Kabir, Md. Mohsin, et al.. (2023). Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation. Journal of Agriculture and Food Research. 14. 100880–100880. 49 indexed citations

14.

Mridha, M. F., Md. Mohsin Kabir, Aklima Akter Lima, et al.. (2023). An Unsupervised Writer Identification Based on Generating Clusterable燛mbeddings. Computer Systems Science and Engineering. 46(2). 2059–2073. 3 indexed citations

15.

Keya, Ashfia Jannat, et al.. (2023). Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations. SHILAP Revista de lepidopterología. 5(4). 265–279. 2 indexed citations

16.

Lima, Aklima Akter, M. F. Mridha, Sujoy Chandra Das, et al.. (2022). A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders. Biology. 11(3). 469–469. 57 indexed citations

17.

Mridha, M. F., Md. Rashedul Islam, Aklima Akter Lima, et al.. (2022). A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification. Journal of Healthcare Engineering. 2022. 1–43. 19 indexed citations

18.

Mridha, M. F., Aklima Akter Lima, Kamruddin Nur, et al.. (2021). A Survey of Automatic Text Summarization: Progress, Process and Challenges. IEEE Access. 9. 156043–156070. 70 indexed citations

19.

Mridha, M. F., Sujoy Chandra Das, Md. Mohsin Kabir, et al.. (2021). Brain-Computer Interface: Advancement and Challenges. Sensors. 21(17). 5746–5746. 128 indexed citations

20.

Mridha, M. F., et al.. (2020). BanglaWriting: A multi-purpose offline Bangla handwriting dataset. SHILAP Revista de lepidopterología. 34. 106633–106633. 22 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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