Md. Manowarul Islam

2.5k total citations · 3 hit papers
63 papers, 1.1k citations indexed

About

Md. Manowarul Islam is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Md. Manowarul Islam has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 23 papers in Artificial Intelligence and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Md. Manowarul Islam's work include Wireless Networks and Protocols (13 papers), Mobile Ad Hoc Networks (9 papers) and AI in cancer detection (7 papers). Md. Manowarul Islam is often cited by papers focused on Wireless Networks and Protocols (13 papers), Mobile Ad Hoc Networks (9 papers) and AI in cancer detection (7 papers). Md. Manowarul Islam collaborates with scholars based in Bangladesh, Australia and Japan. Md. Manowarul Islam's co-authors include Md. Ashraf Uddin, Md. Alamin Talukder, Arnisha Akhter, Mohammad Ali Moni, Khondokar Fida Hasan, Selina Sharmin, Sunil Aryal, Bikash Kumar Paul, Uzzal Kumar Acharjee and Salem A. Alyami and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Md. Manowarul Islam

59 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

2022 176 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

2023 106 citations Md. Alamin Talukder, Md. Manowarul Islam et al. profile →
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

2024 94 citations Md. Alamin Talukder, Md. Manowarul Islam et al. Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md. Manowarul Islam Bangladesh	17	538	286	173	164	149	63	1.1k
Md. Alamin Talukder Bangladesh	18	615 1.1×	252 0.9×	234 1.4×	165 1.0×	138 0.9×	50	1.2k
Piyush Kumar Pareek India	19	321 0.6×	219 0.8×	89 0.5×	176 1.1×	94 0.6×	173	1.0k
T R Mahesh India	21	529 1.0×	124 0.4×	309 1.8×	235 1.4×	64 0.4×	163	1.4k
Sultan H. Almotiri Saudi Arabia	16	257 0.5×	236 0.8×	130 0.8×	241 1.5×	96 0.6×	36	1.1k
Abdullah Alqahtani Saudi Arabia	16	317 0.6×	118 0.4×	167 1.0×	241 1.5×	60 0.4×	95	951
S. Manimurugan Saudi Arabia	17	395 0.7×	378 1.3×	117 0.7×	233 1.4×	185 1.2×	58	966
Khondokar Fida Hasan Australia	14	403 0.7×	263 0.9×	175 1.0×	234 1.4×	100 0.7×	24	1.1k
Saeed Ali Bahaj Saudi Arabia	18	486 0.9×	510 1.8×	185 1.1×	169 1.0×	263 1.8×	54	1.2k
Sachin Ahuja India	13	411 0.8×	182 0.6×	83 0.5×	103 0.6×	81 0.5×	98	1.0k
Ezz El‐Din Hemdan Egypt	22	282 0.5×	184 0.6×	123 0.7×	222 1.4×	182 1.2×	70	1.2k

Countries citing papers authored by Md. Manowarul Islam

Since Specialization

Citations

This map shows the geographic impact of Md. Manowarul 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. Manowarul 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. Manowarul Islam more than expected).

Fields of papers citing papers by Md. Manowarul Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Uddin, Md. Ashraf, et al.. (2025). Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model. International Journal of Intelligent Transportation Systems Research. 23(1). 568–591. 2 indexed citations

Talukder, Md. Alamin, et al.. (2025). A Parallel Convolutional Neural Network for Accurate Face Mask Detection in the Fight Against COVID-19. Biomedical Materials & Devices. 4(2). 2347–2357. 1 indexed citations

Talukder, Md. Alamin, et al.. (2025). An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique. Biomedical Materials & Devices. 3(2). 1433–1447. 5 indexed citations

Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2025). A deep ensemble learning framework for brain tumor classification using data balancing and fine-tuning. Scientific Reports. 15(1). 35251–35251.

Uddin, Md. Ashraf, et al.. (2024). Hypertuning-Based Ensemble Machine Learning Approach for Real-Time Water Quality Monitoring and Prediction. Applied Sciences. 14(19). 8622–8622. 8 indexed citations

Islam, Md. Manowarul, et al.. (2024). Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework. Sensors. 24(13). 4420–4420. 5 indexed citations

Islam, Md. Manowarul, Md. Alamin Talukder, Md. Ashraf Uddin, Arnisha Akhter, & Majdi Khalid. (2024). BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture. International Journal of Intelligent Systems. 2024(1). 33 indexed citations

Talukder, Md. Alamin, Selina Sharmin, Md. Ashraf Uddin, Md. Manowarul Islam, & Sunil Aryal. (2024). MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs. International Journal of Information Security. 23(3). 2139–2158. 40 indexed citations

Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2024). Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications. Digital Health. 10. 599915579–599915579. 15 indexed citations

10.

Talukder, Md. Alamin, Md. Manowarul Islam, Md. Ashraf Uddin, et al.. (2024). Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction. Journal Of Big Data. 11(1). 94 indexed citations breakdown →

11.

Islam, Md. Manowarul, Md. Alamin Talukder, Md. Ashraf Uddin, et al.. (2023). A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Processing. 17(14). 3959–3975. 23 indexed citations

12.

Akhter, Arnisha, Uzzal Kumar Acharjee, Md. Alamin Talukder, Md. Manowarul Islam, & Md. Ashraf Uddin. (2023). A robust hybrid machine learning model for Bengali cyber bullying detection in social media. 4. 100027–100027. 38 indexed citations

13.

Islam, Md. Manowarul, Md. Ashraf Uddin, Md. Alamin Talukder, et al.. (2023). Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data. Genes. 14(9). 1802–1802. 10 indexed citations

14.

Islam, Md. Manowarul, et al.. (2023). DeepCrop: Deep learning-based crop disease prediction with web application. Journal of Agriculture and Food Research. 14. 100764–100764. 63 indexed citations

15.

Uddin, Md. Ashraf, et al.. (2023). Machine Learning Based Diabetes Detection Model for False Negative Reduction. Biomedical Materials & Devices. 2(1). 427–443. 27 indexed citations

16.

Saha, Mousumi, et al.. (2021). Evaluation of Multicast and Unicast Routing Protocols Performance for Group Communication with QoS Constraints in 802.11 Mobile Ad-hoc Networks. International Journal of Computer Network and Information Security. 13(1). 1–15. 4 indexed citations

17.

Kuribayashi, Minoru, et al.. (2020). A Proposal of Throughput Allocation Method for Concurrently Communicating Two or Three Hosts in Wireless Local-Area Network. 63. 1 indexed citations

18.

Paul, Bikash Kumar, et al.. (2020). Mining and predicting protein-drug interaction network of breast cancer risk genes. Gene Reports. 20. 100753–100753. 1 indexed citations

19.

Hossain, Md. Sarowar, et al.. (2014). Fruit setting, cracking and quality of litchi (Litchi chinensis Sonn.) as influenced by foliar spray of different nutrient solutions during fruit growth and development.. International Journal of Agricultural Technology. 10(3). 717–731. 1 indexed citations

20.

Islam, Md. Manowarul & M. S. Haque. (2013). Low and high temperature induced sugar accumulation in pui vegetable (Basella alba).. Thai Journal of Agricultural Science. 46(2). 85–94. 1 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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