Mohammad Mehedy Masud

3.0k total citations
80 papers, 1.7k citations indexed

About

Mohammad Mehedy Masud is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mohammad Mehedy Masud has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 25 papers in Computer Networks and Communications and 15 papers in Information Systems. Recurrent topics in Mohammad Mehedy Masud's work include Network Security and Intrusion Detection (21 papers), Anomaly Detection Techniques and Applications (16 papers) and Data Stream Mining Techniques (15 papers). Mohammad Mehedy Masud is often cited by papers focused on Network Security and Intrusion Detection (21 papers), Anomaly Detection Techniques and Applications (16 papers) and Data Stream Mining Techniques (15 papers). Mohammad Mehedy Masud collaborates with scholars based in United Arab Emirates, United States and Bangladesh. Mohammad Mehedy Masud's co-authors include Latifur Khan, Bhavani Thuraisingham, Jiawei Han, Jing Gao, Charų C. Aggarwal, Kevin W. Hamlen, Mohamed Adel Serhani, Nazar Zaki, Kadhim Hayawi and Qing Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mohammad Mehedy Masud

70 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Mehedy Masud United Arab Emirates 21 1.1k 652 522 316 138 80 1.7k
Pietro Michiardi France 22 953 0.9× 1.6k 2.5× 537 1.0× 460 1.5× 164 1.2× 110 2.5k
Heitor Murilo Gomes New Zealand 19 1.6k 1.4× 438 0.7× 474 0.9× 161 0.5× 108 0.8× 71 2.0k
Iman Almomani Jordan 21 567 0.5× 958 1.5× 644 1.2× 360 1.1× 168 1.2× 59 1.6k
Stefan Axelsson Sweden 17 849 0.8× 1.0k 1.6× 647 1.2× 499 1.6× 124 0.9× 60 1.7k
Ali Miri Canada 20 570 0.5× 448 0.7× 154 0.3× 540 1.7× 149 1.1× 113 1.2k
Bing Xie China 22 542 0.5× 812 1.2× 291 0.6× 1.2k 3.7× 156 1.1× 90 2.0k
Carlos Becker Westphall Brazil 17 506 0.5× 1.1k 1.6× 234 0.4× 758 2.4× 97 0.7× 101 1.5k
Parikshit N. Mahalle India 20 520 0.5× 692 1.1× 188 0.4× 473 1.5× 116 0.8× 146 1.4k
A.W.-C. Fu Hong Kong 14 1.0k 0.9× 359 0.6× 759 1.5× 706 2.2× 142 1.0× 21 1.7k
Cristian Lumezanu United States 17 1.1k 1.0× 1.1k 1.7× 467 0.9× 189 0.6× 145 1.1× 41 1.8k

Countries citing papers authored by Mohammad Mehedy Masud

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Mehedy Masud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Mehedy Masud

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Mehedy Masud. A scholar is included among the top collaborators of Mohammad Mehedy Masud 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 Mehedy Masud. Mohammad Mehedy Masud 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, Shehroz S., et al.. (2025). An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. PLoS ONE. 20(1). e0317843–e0317843.
2.
Memon, Qurban A., et al.. (2025). Enhanced skin cancer classification via Xception model. International Journal of Advances in Applied Sciences. 14(1). 69–69.
4.
Masud, Mohammad Mehedy, et al.. (2024). Advancing Early-Stage Brain Tumor Detection with Segmentation by Modified_Unet. 52–57. 2 indexed citations
6.
Khan, Wasif, Nazar Zaki, Jiang Bian, et al.. (2023). Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women. PLoS ONE. 18(12). e0293925–e0293925. 9 indexed citations
8.
Masud, Mohammad Mehedy, et al.. (2023). An Enhanced Deepfake Video Detection Technique. 234–239. 1 indexed citations
9.
Khan, Wasif, Nazar Zaki, Amir Ahmad, et al.. (2023). Infant Low Birth Weight Prediction Using Graph Embedding Features. International Journal of Environmental Research and Public Health. 20(2). 1317–1317. 6 indexed citations
10.
Masud, Mohammad Mehedy, et al.. (2022). Assessment and assortment of tomato genotypes against salinity atvegetative stage. Asian Journal of Agriculture and Biology. 7 indexed citations
11.
Khan, Wasif, Nazar Zaki, Mohammad Mehedy Masud, et al.. (2022). Infant birth weight estimation and low birth weight classification in United Arab Emirates using machine learning algorithms. Scientific Reports. 12(1). 12110–12110. 34 indexed citations
12.
Jawhar, Imad, Sheng Zhang, Jie Wu, Nader Mohamed, & Mohammad Mehedy Masud. (2021). Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks. Journal of Sensor and Actuator Networks. 10(3). 49–49.
13.
Masud, Mohammad Mehedy, et al.. (2020). Effective Patient Similarity Computation for Clinical Decision Support Using Time Series and Static Data. Proceedings of the Australasian Computer Science Week Multiconference. 1. 1–8. 1 indexed citations
14.
Masud, Mohammad Mehedy, et al.. (2018). A Framework for Utilizing Lab Test Results for Clinical Prediction of ICU Patients.. National Conference on Artificial Intelligence. 479–486. 1 indexed citations
15.
Masud, Mohammad Mehedy, et al.. (2017). Survival prediction of ICU patients using knowledge intensive data grouping and selection. 1–6. 1 indexed citations
16.
Masud, Mohammad Mehedy, Şadi Evren Şeker, Ahmad Mustafa, et al.. (2015). Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. IEEE Transactions on Knowledge and Data Engineering. 28(10). 2752–2764. 40 indexed citations
17.
Masud, Mohammad Mehedy, et al.. (2014). A data driven firewall for faster packet filtering. 1–5. 1 indexed citations
18.
Masud, Mohammad Mehedy, et al.. (2012). Cloud Guided Stream Classification Using Class-Based Ensemble. 694–701. 13 indexed citations
19.
Tashiro, Manabu, Masatoshi Itoh, Mohammad Mehedy Masud, et al.. (2009). Evaluation of individual skeletal muscle activity by glucose uptake during pedaling exercise at different workloads using positron emission tomography. Journal of Applied Physiology. 107(2). 599–604. 25 indexed citations
20.
Hamlen, Kevin W., Vishwath Mohan, Mohammad Mehedy Masud, Latifur Khan, & Bhavani Thuraisingham. (2009). Exploiting an antivirus interface. Computer Standards & Interfaces. 31(6). 1182–1189. 19 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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