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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:

Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment
Nenavath Chander, M. Upendra Kumar
Cluster Computing (2022) Vol. 26, Iss. 3, pp. 1801-1819
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Enhanced Fault Diagnosis in IoT: Uniting Data Fusion with Deep Multi-Scale Fusion Neural Network
Dinesh Kumar Reddy Basani, Basava Ramanjaneyulu Gudivaka, Rajya Lakshmi Gudivaka, et al.
Internet of Things (2024), pp. 101361-101361
Closed Access | Times Cited: 6
A Comprehensive Survey of Cybersecurity Threats, Attacks, and Effective Countermeasures in Industrial Internet of Things
Abdullah Alnajim, Shabana Habib, Muhammad Islam, et al.
Technologies (2023) Vol. 11, Iss. 6, pp. 161-161
Open Access | Times Cited: 15
Improved bacterial foraging optimization with deep learning based anomaly detection in smart cities
Manal M. Khayyat
Alexandria Engineering Journal (2023) Vol. 75, pp. 407-417
Open Access | Times Cited: 14
Enhanced pelican optimization algorithm with ensemble-based anomaly detection in industrial internet of things environment
Nenavath Chander, M. Upendra Kumar
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6491-6509
Closed Access | Times Cited: 4
Generative adversarial synthetic neighbors-based unsupervised anomaly detection
Lan Chen, Hong Jiang, Lizhong Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection
Naila Latif, Wenping Ma, Hafiz Bilal Ahmad
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
Generative adversarial local density-based unsupervised anomaly detection
Xinliang Li, Jason Peng, Wenjing Li, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315721-e0315721
Open Access
Generative adversarial message passing-based anomaly detection
Leilei Ma, Xiangfeng Zhang, Kedian Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 1-2
Open Access
Optimal Deep-Learning-Based Cyberattack Detection in a Blockchain-Assisted IoT Environment
Fatmah Yousef Assiri, Mahmoud Ragab
Mathematics (2023) Vol. 11, Iss. 19, pp. 4080-4080
Open Access | Times Cited: 11
A combination learning framework to uncover cyber attacks in IoT networks
Arati Behera, Kshira Sagar Sahoo, Tapas Kumar Mishra, et al.
Internet of Things (2024), pp. 101395-101395
Open Access | Times Cited: 3
The literature survey: Precision agriculture for crop yield optimization
Surender Mogilicharla, Upendra Kumar Mummadi
AIP conference proceedings (2024) Vol. 3007, pp. 090005-090005
Open Access | Times Cited: 1
Anomaly Detection Algorithm of Industrial Internet of Things Data Platform Based on Deep Learning
Xing Li, Chao Xie, Zhijia Zhao, et al.
IEEE Transactions on Green Communications and Networking (2024) Vol. 8, Iss. 3, pp. 1037-1048
Closed Access | Times Cited: 1
Hybrid Deep Learning Techniques for Securing Bioluminescent Interfaces in Internet of Bio Nano Things
Taimur Bakhshi, Sidra Zafar
Sensors (2023) Vol. 23, Iss. 21, pp. 8972-8972
Open Access | Times Cited: 3
Comparative Analysis on Deep Learning Models for Detection of Anomalies and Leaf Disease Prediction in Cotton Plant Data
Nenavath Chander, M. Upendra Kumar
Lecture notes in networks and systems (2023), pp. 263-273
Closed Access | Times Cited: 2
Phishing website detection using ensemble learning models
Needa Iffath, Upendra Kumar Mummadi, Fahmina Taranum, et al.
AIP conference proceedings (2024) Vol. 3007, pp. 090001-090001
Open Access
Emotion recognition using multi-modal features and CNN classification
Saba Noor Ayesha Khanum, Upendra Kumar Mummadi, Fahmina Taranum, et al.
AIP conference proceedings (2024) Vol. 3007, pp. 030001-030001
Closed Access
Grain quality analysis from the image through the approaches of segmentation
Surender Mogilicharla, Upendra Kumar Mummadi
AIP conference proceedings (2024) Vol. 3007, pp. 070001-070001
Open Access
Deep Learning-Based Methodology for Tracking Cybersecurity in Networked Computers
Dharmesh Dhabliya, N.R Solomon Jebaraj, Sanjay Kumar Sinha, et al.
Advances in IT standards and standardization research (AISSR) book series/Advances in IT standards and standardization research series (2024), pp. 115-130
Closed Access
Deep Anomaly Detection: A Linear One-Class SVM Approach for High-Dimensional and Large-Scale Data
K. Suresh, K. Jayasakthi Velmurugan, R.G. Vidhya, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112369-112369
Closed Access
MSDG: Multi-Scale Dynamic Graph Neural Network for Industrial Time Series Anomaly Detection
Zhilei Zhao, Zhao Xiao, Jie Tao
Sensors (2024) Vol. 24, Iss. 22, pp. 7218-7218
Open Access
Developing a Hybrid Approach with Whale Optimization and Deep Convolutional Neural Networks for Enhancing Security in Smart Home Environments’ Sustainability Through IoT Devices
R Kavitha, Balamurugan Vaithiyanathan
Sustainability (2024) Vol. 16, Iss. 24, pp. 11040-11040
Open Access
Chaotic Sparrow Search Algorithm with Deep Learning for Anomaly Detection in Internet of Things
Ibraheem Hatem Mohammed, Bura Vijay Kumar, Bukya Mohan Babu, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
A Scalable Intrusion Detection Approach for Industrial Internet of Things Based on Federated Learning and Attention Mechanism
Mudhafar Nuaimi, Lamia Chaari Fourati, Bassem Ben Hamed
2022 IEEE Symposium on Computers and Communications (ISCC) (2023), pp. 1-4
Closed Access | Times Cited: 1
Generative Adversarial Network-Based Anomaly Detection and Forecasting with Unlabeled Data for 5G Vertical Applications
Qing Zhang, Бин Чэн, Taoye Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10745-10745
Open Access | Times Cited: 1
Metaheuristics with Deep Convolutional Neural Network for Class Imbalance Handling with Anomaly Detection in Industrial IoT Environment
Nenavath Chander, M. Upendra Kumar
Research Square (Research Square) (2022)
Closed Access | Times Cited: 2
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