Md Whaiduzzaman

2.8k total citations · 2 hit papers
61 papers, 1.8k citations indexed

About

Md Whaiduzzaman is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Md Whaiduzzaman has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 26 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Md Whaiduzzaman's work include IoT and Edge/Fog Computing (26 papers), Cloud Computing and Resource Management (16 papers) and Blockchain Technology Applications and Security (7 papers). Md Whaiduzzaman is often cited by papers focused on IoT and Edge/Fog Computing (26 papers), Cloud Computing and Resource Management (16 papers) and Blockchain Technology Applications and Security (7 papers). Md Whaiduzzaman collaborates with scholars based in Bangladesh, Australia and Malaysia. Md Whaiduzzaman's co-authors include Abdullah Gani, Rajkumar Buyya, Mehdi Sookhak, Alistair Barros, Nuruzzaman Faruqui, Shanto Roy, Muhammad Shiraz, Mohammad Abu Yousuf, Mohammad Ali Moni and AKM Azad and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Md Whaiduzzaman

59 papers receiving 1.7k citations

Hit Papers

A survey on vehicular cloud computing 2013 2026 2017 2021 2013 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md Whaiduzzaman Bangladesh 20 1.0k 670 628 462 171 61 1.8k
Razi Iqbal Pakistan 22 789 0.8× 864 1.3× 581 0.9× 408 0.9× 278 1.6× 69 2.0k
Aparna Kumari India 24 908 0.9× 1.1k 1.6× 708 1.1× 394 0.9× 189 1.1× 59 2.2k
Rajat Chaudhary India 20 995 1.0× 798 1.2× 517 0.8× 448 1.0× 147 0.9× 48 1.8k
M. Poongodi Qatar 28 594 0.6× 668 1.0× 355 0.6× 503 1.1× 213 1.2× 49 2.1k
S. Smys India 26 936 0.9× 471 0.7× 476 0.8× 554 1.2× 269 1.6× 97 2.0k
Liang Tan China 18 870 0.8× 969 1.4× 695 1.1× 896 1.9× 320 1.9× 49 2.3k
Mohammad Dahman Alshehri Saudi Arabia 24 584 0.6× 432 0.6× 352 0.6× 407 0.9× 129 0.8× 56 1.5k
Fan Liang United States 16 1.2k 1.2× 766 1.1× 464 0.7× 589 1.3× 260 1.5× 46 2.2k
Shaoyong Guo China 25 1.3k 1.3× 1.0k 1.5× 727 1.2× 581 1.3× 167 1.0× 178 2.3k
Abdullah Lakhan Pakistan 26 1.1k 1.0× 934 1.4× 256 0.4× 479 1.0× 213 1.2× 97 1.9k

Countries citing papers authored by Md Whaiduzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md Whaiduzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Whaiduzzaman

This figure shows the co-authorship network connecting the top 25 collaborators of Md Whaiduzzaman. A scholar is included among the top collaborators of Md Whaiduzzaman 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 Whaiduzzaman. Md Whaiduzzaman 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
2.
Jones, Nicholas C., et al.. (2025). A CIA Triad-Based Taxonomy of Prompt Attacks on Large Language Models. Future Internet. 17(3). 113–113. 1 indexed citations
3.
Whaiduzzaman, Md, et al.. (2025). A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment. PLoS ONE. 20(6). e0323954–e0323954. 1 indexed citations
4.
Hasan, Md. Zahid, Kaniz Fatema, Mohammad Ali Abdullah Almoyad, et al.. (2025). A region-of-interest embedded graph neural architecture for gallbladder cancer detection. Results in Engineering. 26. 104624–104624.
5.
Hasan, Md. Zahid, et al.. (2024). Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images. Computation. 12(9). 190–190. 2 indexed citations
7.
Rajawat, Anand Singh, S. B. Goyal, Pradeep Bedi, et al.. (2023). Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT). Future Internet. 15(8). 271–271. 22 indexed citations
8.
Whaiduzzaman, Md, Md. Saifur Rahman, Md. Julkar Nayeen Mahi, et al.. (2023). Concept to Reality: An Integrated Approach to Testing Software User Interfaces. Applied Sciences. 13(21). 11997–11997. 8 indexed citations
9.
Faruqui, Nuruzzaman, et al.. (2023). A Novel Front Door Security (FDS) Algorithm Using GoogleNet-BiLSTM Hybridization. IEEE Access. 11. 19122–19134. 28 indexed citations
10.
Whaiduzzaman, Md, et al.. (2023). MedAi: A Smartwatch-Based Application Framework for the Prediction of Common Diseases Using Machine Learning. IEEE Access. 11. 12342–12359. 24 indexed citations
11.
Wadud, Md. Anwar Hussen, et al.. (2023). A stacked ensemble machine learning approach for the prediction of diabetes. Journal of Diabetes & Metabolic Disorders. 23(1). 603–617. 14 indexed citations
12.
Faruqui, Nuruzzaman, et al.. (2023). Cyber-Physical System Security Based on Human Activity Recognition through IoT Cloud Computing. Electronics. 12(8). 1892–1892. 22 indexed citations
13.
Faruqui, Nuruzzaman, Mohammad Abu Yousuf, Md Whaiduzzaman, et al.. (2023). SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization. Electronics. 12(17). 3541–3541. 63 indexed citations
14.
Whaiduzzaman, Md, Mohammed Nasir Uddin, Md. Jahidul Islam, et al.. (2021). BDPS: An Efficient Spark-Based Big Data Processing Scheme for Cloud Fog-IoT Orchestration. Information. 12(12). 517–517. 13 indexed citations
15.
Whaiduzzaman, Md, et al.. (2021). Towards Latency Aware Emerging Technology for Internet of Vehicles.. Journal of the Association for Information Systems. 208. 1 indexed citations
16.
Faruqui, Nuruzzaman, Mohammad Abu Yousuf, Md Whaiduzzaman, et al.. (2021). LungNet: A hybrid deep-CNN model for lung cancer diagnosis using CT and wearable sensor-based medical IoT data. Computers in Biology and Medicine. 139. 104961–104961. 142 indexed citations breakdown →
17.
Whaiduzzaman, Md, et al.. (2020). Credit Based Task Scheduling Process Management in Fog Computing. Journal of the Association for Information Systems. 5 indexed citations
18.
Satu, Md. Shahriare, et al.. (2020). Predicting Infectious State of Hepatitis C Virus Affected Patient's Applying Machine Learning Methods. 2020 IEEE Region 10 Symposium (TENSYMP). 1371–1374. 25 indexed citations
19.
Whaiduzzaman, Md, et al.. (2014). A Study on Strategic Provisioning of Cloud Computing Services. The Scientific World JOURNAL. 2014. 1–16. 28 indexed citations
20.
Whaiduzzaman, Md, Abdullah Gani, Nor Badrul Anuar, et al.. (2014). Cloud Service Selection Using Multicriteria Decision Analysis. The Scientific World JOURNAL. 2014. 1–10. 140 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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