Mohammad Alamgir Hossain

2.7k total citations · 1 hit paper
72 papers, 1.8k citations indexed

About

Mohammad Alamgir Hossain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mohammad Alamgir Hossain has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 20 papers in Information Systems. Recurrent topics in Mohammad Alamgir Hossain's work include Face and Expression Recognition (15 papers), Spam and Phishing Detection (13 papers) and Face recognition and analysis (13 papers). Mohammad Alamgir Hossain is often cited by papers focused on Face and Expression Recognition (15 papers), Spam and Phishing Detection (13 papers) and Face recognition and analysis (13 papers). Mohammad Alamgir Hossain collaborates with scholars based in United Kingdom, Saudi Arabia and India. Mohammad Alamgir Hossain's co-authors include Khin Lwin, Keshav Dahal, Li Zhang, Dewan Md. Farid, Maher Aburrous, Fadi Thabtah, Chowdhury Mofizur Rahman, Li Zhang, Rebecca Strachan and Siew Chin Neoh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Mohammad Alamgir Hossain

70 papers receiving 1.7k citations

Hit Papers

Hybrid decision tree and naïve Bayes classifiers for mult... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Alamgir Hossain United Kingdom 22 716 653 443 369 272 72 1.8k
Zhiyong Feng China 23 1.0k 1.4× 811 1.2× 415 0.9× 273 0.7× 546 2.0× 263 2.3k
Zunera Jalil Pakistan 24 933 1.3× 745 1.1× 448 1.0× 701 1.9× 694 2.6× 50 2.2k
Sambit Bakshi India 27 552 0.8× 376 0.6× 927 2.1× 456 1.2× 279 1.0× 129 2.0k
Lei Li China 24 1.0k 1.4× 784 1.2× 293 0.7× 230 0.6× 585 2.2× 237 2.3k
Shaojie Qiao China 26 793 1.1× 364 0.6× 363 0.8× 299 0.8× 289 1.1× 142 2.2k
El-Sayed M. El-Alfy Saudi Arabia 24 930 1.3× 363 0.6× 612 1.4× 293 0.8× 371 1.4× 145 2.3k
Subhi R. M. Zeebaree Iraq 34 790 1.1× 1.5k 2.4× 561 1.3× 287 0.8× 1.2k 4.3× 177 3.3k
Yun Zhou China 24 872 1.2× 814 1.2× 393 0.9× 317 0.9× 318 1.2× 133 2.1k
Asad Masood Khattak United Arab Emirates 24 684 1.0× 478 0.7× 250 0.6× 95 0.3× 426 1.6× 112 1.6k
Kamal Berahmand Australia 33 1.2k 1.7× 325 0.5× 447 1.0× 86 0.2× 340 1.3× 54 2.5k

Countries citing papers authored by Mohammad Alamgir Hossain

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Alamgir Hossain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Alamgir Hossain. 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 Mohammad Alamgir Hossain. The network helps show where Mohammad Alamgir Hossain may publish in the future.

Co-authorship network of co-authors of Mohammad Alamgir Hossain

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Alamgir Hossain. A scholar is included among the top collaborators of Mohammad Alamgir Hossain 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 Mohammad Alamgir Hossain. Mohammad Alamgir Hossain 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.
Hossain, Mohammad Alamgir, et al.. (2024). A data-driven approach to identify the regions with the most popular businesses. Electronic Commerce Research. 26(1). 45–69. 1 indexed citations
2.
Hossain, Mohammad Alamgir, et al.. (2024). CM-SC: Cross-modal spatial-channel attention network for image captioning. Displays. 87. 102941–102941. 5 indexed citations
3.
Martin, John, Ruchi Mittal, Varun Malik, et al.. (2024). XAI-Powered Smart Agriculture Framework for Enhancing Food Productivity and Sustainability. IEEE Access. 12. 168412–168427. 6 indexed citations
4.
Assiri, Basem & Mohammad Alamgir Hossain. (2022). Face emotion recognition based on infrared thermal imagery by applying machine learning and parallelism. Mathematical Biosciences & Engineering. 20(1). 913–929. 13 indexed citations
5.
Hossain, Mohammad Alamgir, et al.. (2021). Movement Stimulation through Social Media: The Tweeted Perspective and Road Safety Movement in Bangladesh. 584–588. 2 indexed citations
6.
Chen, Hongkai & Mohammad Alamgir Hossain. (2021). Developing a Google Chrome Extension for Detecting Phishing Emails. EPiC series in computing. 77. 13–2. 1 indexed citations
7.
Hasan, Mahmudul, Khin Lwin, Antesar Shabut, & Mohammad Alamgir Hossain. (2019). Design and Development of a Benchmark for Dynamic Multi-objective Optimisation Problem in the Context of Deep Reinforcement Learning. 1–6. 1 indexed citations
8.
Dahal, Keshav, et al.. (2015). GA-based learning for rule identification in fuzzy neural networks. Applied Soft Computing. 35. 605–617. 22 indexed citations
9.
Neoh, Siew Chin, Li Zhang, Kamlesh Mistry, et al.. (2015). Intelligent facial emotion recognition using a layered encoding cascade optimization model. Applied Soft Computing. 34. 72–93. 53 indexed citations
10.
Neoh, Siew Chin, Li Zhang, Stephen Todryk, et al.. (2015). An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images. Scientific Reports. 5(1). 14938–14938. 108 indexed citations
11.
Hossain, Mohammad Alamgir, et al.. (2014). Intelligent phishing detection parameter framework for E-banking transactions based on Neuro-fuzzy. 3. 545–555. 2 indexed citations
12.
Hossain, Mohammad Alamgir. (2012). Automated Smiley Face Extraction Based on Genetic Algorithm. 31–37. 6 indexed citations
13.
Hossain, Mohammad Alamgir, Debabrata Samanta, & Goutam Sanyal. (2012). Extraction of Panic Expression Depending on Lip Detection. 137–141. 6 indexed citations
14.
Hossain, Mohammad Alamgir. (2012). Anew Improved Tactic to Extract Facial Expression Based on Genetic Algorithm and WVDF. 2(5). 37–44. 5 indexed citations
15.
Hossain, Mohammad Alamgir, Debabrata Samanta, & Goutam Sanyal. (2012). A novel approach for panic-face extraction based on mutation. 473–477. 4 indexed citations
16.
Hossain, Mohammad Alamgir, et al.. (2010). Location-Based Kerberos Authentication Protocol. 1099–1104. 11 indexed citations
17.
Aburrous, Maher, Mohammad Alamgir Hossain, Keshav Dahal, & Fadi Thabtah. (2010). Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies. 176–181. 58 indexed citations
18.
Alam, M. S., et al.. (2010). Multi-objective optimal chemotherapy control model for cancer treatment. Medical & Biological Engineering & Computing. 49(1). 51–65. 36 indexed citations
19.
Aburrous, Maher, et al.. (2008). Intelligent Phishing Website Detection System using Fuzzy Techniques. Bradford Scholars (University of Bradford). 1–6. 47 indexed citations
20.
Hossain, Mohammad Alamgir, et al.. (2007). Active Queue Management Controller using Smith Predictor for Time Delay Networks. 568–573. 6 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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