OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks
Habib Ullah Manzoor, Ahsan Raza Khan, David Flynn, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3570-3570
Open Access | Times Cited: 17

Showing 17 citing articles:

Enhanced Adversarial Attack Resilience in Energy Networks through Energy and Privacy Aware Federated Learning
Habib Ullah Manzoor, Kamran Arshad, Khaled Assaleh, et al.
(2024)
Open Access | Times Cited: 7

Resilience of Federated Learning Against False Data Injection Attacks in Energy Forecasting
Attia Shabbir, Habib Ullah Manzoor, Ridha Alaa Ahmed, et al.
(2024)
Closed Access | Times Cited: 6

A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 6

Similarity-driven truncated aggregation framework for privacy-preserving short term load forecasting
Ahsan Raza Khan, Mohammad Al-Quraan, Lina Mohjazi, et al.
Internet of Things (2025), pp. 101530-101530
Open Access

Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
Energy and Buildings (2024) Vol. 324, pp. 114871-114871
Open Access | Times Cited: 3

Machine learning‐assisted anomaly detection for power line components: A case study in Pakistan
Abdul Basit, Habib Ullah Manzoor, Muhammad Akram, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 7
Open Access | Times Cited: 3

Defending Federated Learning from Backdoor Attacks: Anomaly-Aware FedAVG with Layer-Based Aggregation
Habib Ullah Manzoor, Ahsan Raza Khan, Tahir Sher, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 8

Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2

Advancing Electric Load Forecasting: Leveraging Federated Learning for Distributed, Non-Stationary, and Discontinuous Time Series
Lucas Richter, Steve Lenk, Peter Bretschneider
Smart Cities (2024) Vol. 7, Iss. 4, pp. 2065-2093
Open Access | Times Cited: 1

Mobility-Aware Federated Learning-based Proactive UAVs Placement in Emerging Cellular Networks
Sanaullah Manzoor, Muhammad Zeeshan Shakir, Mazen O. Hasna, et al.
IEEE Transactions on Machine Learning in Communications and Networking (2024) Vol. 2, pp. 1305-1318
Open Access | Times Cited: 1

Cosine-Similarity Truncated Aggregation (Csta): A Hybrid Approach for Federated Stlf
Ahsan Raza Khan, Mohammad Al-Quraan, Lina Mohjazi, et al.
(2024)
Closed Access

Swarm‐Optimized ZnO/CdS/CIGS/GaAs Solar Cell for Enhanced Efficiency and Thermal Resilience
Habib Ullah Manzoor, Tareq Manzoor, Sajjad Hussain, et al.
Advanced Energy and Sustainability Research (2024)
Open Access

Motif‐based resiliency assessment for cyber‐physical power systems under various hazards
Hamed Binqadhi, Mohammad AlMuhaini, H. Vincent Poor, et al.
IET Cyber-Physical Systems Theory & Applications (2024) Vol. 10, Iss. 1
Open Access

Hybrid Neuromorphic‐Federated Learning for Activity Recognition Using Multi‐modal Wearable Sensors
Ahsan Raza Khan, Habib Ullah Manzoor, Fahad Ayaz, et al.
(2024), pp. 133-164
Closed Access

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