Mohammed Shuaib

2.2k total citations
54 papers, 884 citations indexed

About

Mohammed Shuaib is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohammed Shuaib has authored 54 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 20 papers in Computer Networks and Communications and 16 papers in Artificial Intelligence. Recurrent topics in Mohammed Shuaib's work include Blockchain Technology Applications and Security (22 papers), IoT and Edge/Fog Computing (13 papers) and Artificial Intelligence in Healthcare (5 papers). Mohammed Shuaib is often cited by papers focused on Blockchain Technology Applications and Security (22 papers), IoT and Edge/Fog Computing (13 papers) and Artificial Intelligence in Healthcare (5 papers). Mohammed Shuaib collaborates with scholars based in Saudi Arabia, India and Malaysia. Mohammed Shuaib's co-authors include Shadab Alam, Surbhi Bhatia, Salil Bharany, Wazir Zada Khan, Salwani Mohd Daud, Mohammad Shabbir Alam, Sadaf Ahmad, Sandeep Sharma, Noor Hafizah Hassan and Sahnius Usman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Mohammed Shuaib

47 papers receiving 828 citations

Peers

Mohammed Shuaib

CNC

EEE

CVPR

Shadab Alam Saudi Arabia

Pushpita Chatterjee United States

Muhammad Saleem Pakistan

Yassine Maleh Morocco

Debashis Das India

Hussam Al Hamadi United Arab Emirates

S. Dhanasekaran India

John Panneerselvam United Kingdom

Aftab Ahmed Shaikh Pakistan

Yousaf Saeed Pakistan

Shadab Alam Saudi Arabia

Mohammed Shuaib

608 ×1.3

362 ×1.1

CNC

305 ×1.1

106 ×1.1

EEE

91 ×1.1

CVPR

Citations per year, relative to Mohammed Shuaib Mohammed Shuaib (= 1×) peers Shadab Alam

Countries citing papers authored by Mohammed Shuaib

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Shuaib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Shuaib

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Shuaib. A scholar is included among the top collaborators of Mohammed Shuaib 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 Mohammed Shuaib. Mohammed Shuaib 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

Anand, Vatsala, Mohammed Shuaib, Irfanullah Khan, Mehran Ullah, & Shadab Alam. (2025). Secure pulmonary diagnosis using transformer-based approach to X-ray classification with KL divergence optimization. Frontiers in Medicine. 12. 1716066–1716066.

Reddy, C. Kishor Kumar, et al.. (2025). Detecting anomalies in smart wearables for hypertension: a deep learning mechanism. Frontiers in Public Health. 12. 1426168–1426168. 5 indexed citations

Bokhari, Mohammad Ubaidullah, et al.. (2025). Emotion-Aware Ensemble Learning (EAEL): Revolutionizing Mental Health Diagnosis of Corporate Professionals via Intelligent Integration of Multi-Modal Data Sources and Ensemble Techniques. IEEE Access. 13. 11494–11516. 3 indexed citations

Reddy, C. Kishor Kumar, et al.. (2025). AlzheimerViT: harnessing lightweight vision transformer architecture for proactive Alzheimer’s screening. Frontiers in Medicine. 12. 1568312–1568312.

Reddy, C. Kishor Kumar, et al.. (2024). A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery. Frontiers in Oncology. 14. 1400341–1400341. 22 indexed citations

Reddy, C. Kishor Kumar, et al.. (2024). Prospects of Computational Intelligence in Society: Human-Centric Solutions, Challenges, and Research Areas.

Khan, Ahmad Neyaz, et al.. (2024). Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding. IEEE Access. 12. 65555–65569. 18 indexed citations

Khan, Afreen, Swaleha Zubair, Mohammed Shuaib, et al.. (2024). Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers. Frontiers in Neuroscience. 18. 1391465–1391465. 2 indexed citations

Shuaib, Mohammed, et al.. (2024). E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers. PLoS ONE. 19(6). e0303313–e0303313. 3 indexed citations

10.

Quasim, Mohammad Tabrez, et al.. (2023). An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities. Journal of Cloud Computing Advances Systems and Applications. 12(1). 10 indexed citations

11.

Bhatia, Surbhi, et al.. (2023). Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain. Sensors. 23(11). 5349–5349. 15 indexed citations

12.

Adeniyi, Abidemi Emmanuel, et al.. (2023). A Hybrid Framework of Blockchain and IoT Technology in the Pharmaceutical Industry: A Comprehensive Study. Mobile Information Systems. 2023. 1–14. 12 indexed citations

13.

Shuaib, Mohammed, et al.. (2023). Multihop Uplink Communication Approach Based on Layer Clustering in LoRa Networks for Emerging IoT Applications. Mobile Information Systems. 2023. 1–9. 5 indexed citations

14.

Alam, Shadab, Surbhi Bhatia, Mohammed Shuaib, et al.. (2023). An Overview of Blockchain and IoT Integration for Secure and Reliable Health Records Monitoring. Sustainability. 15(7). 5660–5660. 37 indexed citations

15.

Alam, Shadab, et al.. (2023). Deep Belief Networks (DBN) with IoT-Based Alzheimer’s Disease Detection and Classification. Applied Sciences. 13(13). 7833–7833. 31 indexed citations

16.

Shuaib, Mohammed, Noor Hafizah Hassan, Sahnius Usman, et al.. (2022). Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability. Sustainability. 14(9). 5400–5400. 25 indexed citations

17.

Ahmed, Rafeeq, Salil Bharany, Mohammed Shuaib, et al.. (2022). Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior. Sustainability. 14(21). 13875–13875. 16 indexed citations

18.

Bharany, Salil, Sandeep Sharma, Surbhi Bhatia, et al.. (2022). Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization. Sustainability. 14(10). 6159–6159. 57 indexed citations

19.

Bhatia, Surbhi, et al.. (2022). Retinal Vessel Extraction via Assisted Multi-Channel Feature Map and U-Net. Frontiers in Public Health. 10. 858327–858327. 22 indexed citations

20.

Samad, Abdus, et al.. (2017). Monitoring of Military Base Station using Flooding and ACO Technique: An Efficient Approach. International Journal of Computer Network and Information Security. 9(12). 36–44. 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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