Md. Mohaiminul Islam

617 total citations
28 papers, 206 citations indexed

About

Md. Mohaiminul Islam is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Md. Mohaiminul Islam has authored 28 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Molecular Biology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Md. Mohaiminul Islam's work include Advanced Image and Video Retrieval Techniques (3 papers), Video Analysis and Summarization (2 papers) and Topology Optimization in Engineering (2 papers). Md. Mohaiminul Islam is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Video Analysis and Summarization (2 papers) and Topology Optimization in Engineering (2 papers). Md. Mohaiminul Islam collaborates with scholars based in Bangladesh, United States and Canada. Md. Mohaiminul Islam's co-authors include Pingzhao Hu, Shujun Huang, Ling Liu, Gedas Bertasius, Mahmudul Hasan, Mehedi Hassan, Md. Biplob Hossain, Lway Faisal Abdulrazak, Md. Masud Rana and M. Saifur Rahman and has published in prestigious journals such as Advanced Functional Materials, Frontiers in Immunology and Applied Surface Science.

In The Last Decade

Md. Mohaiminul Islam

24 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Mohaiminul Islam Bangladesh 9 67 43 33 31 20 28 206
Mujiexin Liu China 4 62 0.9× 49 1.1× 29 0.9× 15 0.5× 9 0.5× 9 236
Yufan Luo China 10 83 1.2× 54 1.3× 36 1.1× 42 1.4× 46 2.3× 23 294
Mohammadreza Sehhati Iran 11 109 1.6× 95 2.2× 33 1.0× 45 1.5× 15 0.8× 30 312
Xinyi Yu China 10 49 0.7× 88 2.0× 43 1.3× 26 0.8× 39 1.9× 26 335
Сонглин Ду China 10 36 0.5× 33 0.8× 156 4.7× 23 0.7× 18 0.9× 65 306
Masayuki Kobayashi Japan 10 39 0.6× 75 1.7× 38 1.2× 8 0.3× 36 1.8× 35 310
Mingming Lu China 10 97 1.4× 46 1.1× 15 0.5× 151 4.9× 8 0.4× 21 488
Shiyu Liang China 9 55 0.8× 90 2.1× 32 1.0× 11 0.4× 10 0.5× 20 221
Junwen Bai United States 11 22 0.3× 129 3.0× 20 0.6× 27 0.9× 21 1.1× 22 325

Countries citing papers authored by Md. Mohaiminul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md. Mohaiminul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Mohaiminul Islam

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

All Works

20 of 20 papers shown
1.
Khan, M. Salman, et al.. (2025). Additive fiber tethering for 3D architected continuous fiber composites. Composites Part A Applied Science and Manufacturing. 192. 108763–108763. 2 indexed citations
2.
Islam, Md. Mohaiminul & Ling Liu. (2025). Enhancing interfacial thermal transport by grafting H-bonded polymer Chains: The role of chain morphology. Applied Surface Science. 697. 163009–163009. 1 indexed citations
3.
4.
Islam, Md. Mohaiminul, Razina Rouf, Jamil A. Shilpi, et al.. (2025). A comprehensive review on the neuropharmacological effects of Phoenix dactylifera and the potential role of its phenolic constituents. Food Bioscience. 66. 106141–106141.
5.
Islam, Md. Mohaiminul, et al.. (2025). ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. 19012–19022. 1 indexed citations
6.
Islam, Md. Mohaiminul, Tushar Nagarajan, Huiyu Wang, Gedas Bertasius, & Lorenzo Torresani. (2025). BIMBA: Selective-Scan Compression for Long-Range Video Question Answering. 29096–29107.
7.
Park, Soyeon, Baohui Shi, Md. Mohaiminul Islam, et al.. (2024). Universal Carbonizable Filaments for 3D Printing. Advanced Functional Materials. 34(51). 4 indexed citations
8.
Islam, Md. Mohaiminul & Ling Liu. (2024). Topology optimization of fiber-reinforced structures with discrete fiber orientations for additive manufacturing. Computers & Structures. 301. 107468–107468. 9 indexed citations
9.
Islam, Md. Mohaiminul, et al.. (2023). Efficient Movie Scene Detection using State-Space Transformers. 18749–18758. 26 indexed citations
10.
Islam, Md. Mohaiminul, et al.. (2022). Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles. Journal of Cheminformatics. 14(1). 12–12. 12 indexed citations
11.
Habib, Md. Tarek, et al.. (2022). Applications of Computer Vision and Machine Learning in Agriculture: A State-of-the-Art Glimpse. 1–5. 10 indexed citations
12.
Islam, Md. Mohaiminul, Noman Mohammed, Yan Wang, & Pingzhao Hu. (2022). Differential Private Deep Learning Models for Analyzing Breast Cancer Omics Data. Frontiers in Oncology. 12. 879607–879607. 8 indexed citations
13.
O’Neil, Liam J., Pingzhao Hu, Qian Liu, et al.. (2021). Proteomic Approaches to Defining Remission and the Risk of Relapse in Rheumatoid Arthritis. Frontiers in Immunology. 12. 729681–729681. 10 indexed citations
14.
Islam, Md. Mohaiminul, et al.. (2020). An integrative deep learning framework for classifying molecular subtypes of breast cancer. Computational and Structural Biotechnology Journal. 18. 2185–2199. 56 indexed citations
15.
Islam, Md. Mohaiminul, et al.. (2019). Design and Implementation of an IoT Based Home Automation. 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). 1–5. 6 indexed citations
16.
Hasan, Md. Mahmudul, et al.. (2019). Human Identification Based on Color Stimuli. 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). 1–4. 3 indexed citations
17.
Hossain, Md. Biplob, Mehedi Hassan, Lway Faisal Abdulrazak, et al.. (2019). Graphene-MoS2-Au-TiO2-SiO2 Hybrid SPR Biosensor for Formalin Detection: Numerical Analysis and Development. Advanced Materials Letters. 10(9). 656–662. 19 indexed citations
18.
Islam, Md. Mohaiminul, et al.. (2018). A deep neural network based regression model for triglyceride concentrations prediction using epigenome-wide DNA methylation profiles. BMC Proceedings. 12(S9). 21–21. 6 indexed citations
19.
Islam, Md. Mohaiminul, et al.. (2017). Evaluation of Cytotoxic Activity by Brine Shrimp Lethality Bioassay of Ethanol Extract and Its Different Fractions of Anogeissus acuminata (Roxb.) Leave. International Journal of Pharmacy. 7(26). 55–59. 1 indexed citations
20.
Kabir, Mohammad Shah Hafez, et al.. (2016). In vitro anthelmintic activity of Macaranga denticulata and in silico molecular docking analysis of its isolated compounds with tubulin. International Journal of Pharmacy. 6(21). 131–136.

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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