Nasir Ayub

1.2k total citations
52 papers, 657 citations indexed

About

Nasir Ayub is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Nasir Ayub has authored 52 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Electrical and Electronic Engineering and 12 papers in Computer Networks and Communications. Recurrent topics in Nasir Ayub's work include Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (10 papers) and Network Security and Intrusion Detection (8 papers). Nasir Ayub is often cited by papers focused on Energy Load and Power Forecasting (12 papers), Smart Grid Energy Management (10 papers) and Network Security and Intrusion Detection (8 papers). Nasir Ayub collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Nasir Ayub's co-authors include Abdulwahab Ali Almazroi, Muhammad Shiraz, Saleh Albahli, Muhammad Awais, Muhammad Irfan, Tariq Ali, Waqas Ahmad, Adam Głowacz, Faisal S. Alsubaei and Khursheed Aurangzeb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Nasir Ayub

45 papers receiving 624 citations

Peers

Nasir Ayub

EEE

CNC

CSE

Ebenezer Esenogho South Africa

Syibrah Naim Malaysia

Minh Thanh Vo Vietnam

Shahid Hussain Ireland

Janjhyam Venkata Naga Ramesh India

Shailendra Singh Canada

Zaib Ullah Italy

C. Narendra Babu India

Abdulaziz Aldegheishem Saudi Arabia

Siva Rama Krishnan Somayaji India

Ebenezer Esenogho South Africa

Nasir Ayub

125 ×0.4

EEE

295 ×1.5

73 ×0.7

86 ×1.0

CNC

42 ×0.5

CSE

Citations per year, relative to Nasir Ayub Nasir Ayub (= 1×) peers Ebenezer Esenogho

Countries citing papers authored by Nasir Ayub

Since Specialization

Citations

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

Fields of papers citing papers by Nasir Ayub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasir Ayub

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

Alkinani, Monagi H., et al.. (2025). REST Network: An Ensemble Deep Learning Approach for EV Charging Load Forecasting in Artificial Port Supply Chains. IEEE Access. 13. 133128–133144.

Alshdadi, Abdulrahman A., Abdulwahab Ali Almazroi, Nasir Ayub, et al.. (2025). Federated Deep Learning for Scalable and Privacy-Preserving Distributed Denial-of-Service Attack Detection in Internet of Things Networks. Future Internet. 17(2). 88–88. 2 indexed citations

Alsubaei, Faisal S., et al.. (2025). Adaptive malware identification via integrated SimCLR and GRU networks. Scientific Reports. 15(1). 25309–25309.

Alsubaei, Faisal S., et al.. (2025). BERT ensemble based MBR framework for android malware detection. Scientific Reports. 15(1). 14027–14027. 1 indexed citations

Aldhahri, Eman, et al.. (2025). GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics. PLoS ONE. 20(8). e0328899–e0328899.

Alshdadi, Abdulrahman A., Abdulwahab Ali Almazroi, Nasir Ayub, et al.. (2024). Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection. Future Internet. 16(12). 458–458. 3 indexed citations

Aldhahri, Eman, Abdulwahab Ali Almazroi, & Nasir Ayub. (2024). Nature-inspired approaches for clean energy integration in smart grids. Alexandria Engineering Journal. 105. 640–654. 4 indexed citations

Aldossary, Mohammad, Hatem A. Alharbi, & Nasir Ayub. (2024). Optimizing Electric Vehicle (EV) Charging with Integrated Renewable Energy Sources: A Cloud-Based Forecasting Approach for Eco-Sustainability. Mathematics. 12(17). 2627–2627. 8 indexed citations

Almazroi, Abdulwahab Ali, et al.. (2024). Reliable renewable energy forecasting for climate change mitigation. PeerJ Computer Science. 10. e2067–e2067. 3 indexed citations

10.

Almazroi, Abdulwahab Ali & Nasir Ayub. (2024). Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics. PLoS ONE. 19(5). e0295248–e0295248. 1 indexed citations

11.

Almazroi, Abdulwahab Ali & Nasir Ayub. (2024). Deep learning hybridization for improved malware detection in smart Internet of Things. Scientific Reports. 14(1). 7838–7838. 14 indexed citations

12.

Alshdadi, Abdulrahman A., Abdulwahab Ali Almazroi, & Nasir Ayub. (2024). IoT-driven load forecasting with machine learning for logistics planning. Internet of Things. 29. 101441–101441. 6 indexed citations

13.

Almazroi, Abdulwahab Ali & Nasir Ayub. (2023). Enhancing Smart IoT Malware Detection: A GhostNet-based Hybrid Approach. Systems. 11(11). 547–547. 8 indexed citations

14.

Irfan, Muhammad, et al.. (2023). AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm. Electronics. 12(6). 1298–1298. 7 indexed citations

15.

Irfan, Muhammad, Ch Anwar Ul Hassan, Faisal Althobiani, et al.. (2023). Power Scheduling with Max User Comfort in Smart Home: Performance Analysis and Tradeoffs. Computer Systems Science and Engineering. 46(2). 1723–1740. 4 indexed citations

16.

Ayub, Nasir, et al.. (2023). Software Defect Prediction Analysis Using Machine Learning Techniques. Sustainability. 15(6). 5517–5517. 37 indexed citations

17.

Ayub, Nasir, et al.. (2023). An Efficient Optimized DenseNet Model for Aspect-Based Multi-Label Classification. Algorithms. 16(12). 548–548. 5 indexed citations

18.

Irfan, Muhammad, et al.. (2023). Ensemble learning approach for advanced metering infrastructure in future smart grids. PLoS ONE. 18(10). e0289672–e0289672. 5 indexed citations

19.

Ayub, Nasir, et al.. (2021). Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey. Sustainability. 13(23). 13068–13068. 15 indexed citations

20.

Iqbal, Awais, Zhanhuan Shang, Mian Laiq Ur Rehman, et al.. (2019). Pattern of microbial community composition and functional gene repertoire associated with methane emission from Zoige wetlands, China—A review. The Science of The Total Environment. 694. 133675–133675. 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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