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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:

Time series analysis and anomaly detection for trustworthy smart homes
Ishaani Priyadarshini, Ahmed Alkhayyat, Anita Gehlot, et al.
Computers & Electrical Engineering (2022) Vol. 102, pp. 108193-108193
Closed Access | Times Cited: 15

Showing 15 citing articles:

A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks
Vaia I. Kontopoulou, Athanasios D. Panagopoulos, Iοannis Kakkos, et al.
Future Internet (2023) Vol. 15, Iss. 8, pp. 255-255
Open Access | Times Cited: 91
False data injection attack in smart grid cyber physical system: Issues, challenges, and future direction
A.K.M. Ahasan Habib, Mohammad Kamrul Hasan, Ahmed Alkhayyat, et al.
Computers & Electrical Engineering (2023) Vol. 107, pp. 108638-108638
Closed Access | Times Cited: 61
SDN and application layer DDoS attacks detection in IoT devices by attention‐based Bi‐LSTM‐CNN
Ishaani Priyadarshini, Pinaki Mohanty, Ahmed Alkhayyat, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 11
Closed Access | Times Cited: 27
Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning
Ishaani Priyadarshini
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 3, pp. 21-21
Open Access | Times Cited: 12
Anomaly Detection in Smart Environments: A Comprehensive Survey
Daniel Fährmann, Laura Martín, Luı́s Sánchez, et al.
IEEE Access (2024) Vol. 12, pp. 64006-64049
Open Access | Times Cited: 6
Survivability of industrial internet of things using machine learning and smart contracts
Ishaani Priyadarshini, Raghvendra Kumar, Ahmed Alkhayyat, et al.
Computers & Electrical Engineering (2023) Vol. 107, pp. 108617-108617
Closed Access | Times Cited: 16
A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions
Md. Motiur Rahman, Deepti Gupta, Smriti Bhatt, et al.
Future Internet (2024) Vol. 16, Iss. 4, pp. 139-139
Open Access | Times Cited: 5
Unveiling energy usage patterns in industrial kitchens: From detection to clustering of appliance usage
Ricardo Martins, Hugo Morais, Lucas Pereira
Computers & Electrical Engineering (2025) Vol. 123, pp. 110163-110163
Open Access
Deep learning-based novel ensemble method with best score transferred-adaptive neuro fuzzy inference system for energy consumption prediction
Birce Dağkurs, İsmail Atacak
PeerJ Computer Science (2025) Vol. 11, pp. e2680-e2680
Open Access
Towards real-time earthquake forecasting in Chile: Integrating intelligent technologies and machine learning
D. Rubidha Devi, Priya Govindarajan, N Venkatanathan
Computers & Electrical Engineering (2024) Vol. 117, pp. 109285-109285
Closed Access | Times Cited: 3
Abnormal energy consumption detection using ensemble model for water chilling unit on HVAC system
Heng-Da Cheng, Zheng Liu, Luyao Chen, et al.
Energy and Buildings (2023) Vol. 297, pp. 113419-113419
Closed Access | Times Cited: 4
Aquila Optimization with Machine Learning-Based Anomaly Detection Technique in Cyber-Physical Systems
A. Ramachandran, K. Gayathri, Ahmed Alkhayyat, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 2177-2194
Open Access | Times Cited: 3
Simulation of Malfunctions in Home Appliances’ Power Consumption
Alexios Papaioannou, Asimina Dimara, Christoforos Papaioannou, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4529-4529
Open Access
Time Series Analysis in Data Science: Forecasting Trends and Anomalies
Latha Narayanan Valli, N. Sujatha
(2024), pp. 15-20
Closed Access
Experimental Study on Detection of Household Electrical Appliance Energy Consumption Deviation
Rajesh Nayak, C. D. Jaidhar
Lecture notes in electrical engineering (2024), pp. 91-102
Closed Access
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