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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:

A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
Seifeddine Messaoud, Abbas Bradai, Syed Hashim Raza Bukhari, et al.
Internet of Things (2020) Vol. 12, pp. 100314-100314
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

A review of the application of machine learning in water quality evaluation
Mengyuan Zhu, Jiawei Wang, Yang Xiao, et al.
Eco-Environment & Health (2022) Vol. 1, Iss. 2, pp. 107-116
Open Access | Times Cited: 373
Machine learning in predicting mechanical behavior of additively manufactured parts
Sara Nasiri, Mohammad Reza Khosravani
Journal of Materials Research and Technology (2021) Vol. 14, pp. 1137-1153
Open Access | Times Cited: 135
Deep reinforcement learning for dynamic scheduling of a flexible job shop
Renke Liu, Rajesh Piplani, Carlos Toro
International Journal of Production Research (2022) Vol. 60, Iss. 13, pp. 4049-4069
Closed Access | Times Cited: 130
Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and Issues
Rami Ahmad, Raniyah Wazirali, Tarik Abu-Ain
Sensors (2022) Vol. 22, Iss. 13, pp. 4730-4730
Open Access | Times Cited: 126
Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy
Chor Gene Cheah, Wen Yi Chia, Shuet Fen Lai, et al.
Environmental Research (2022) Vol. 213, pp. 113619-113619
Closed Access | Times Cited: 84
A stacking ANN ensemble model of ML models for stream water quality prediction of Godavari River Basin, India
Nagalapalli Satish, Jagadeesh Anmala, K. Rajitha, et al.
Ecological Informatics (2024) Vol. 80, pp. 102500-102500
Open Access | Times Cited: 14
River Water Quality Monitoring using Machine Learning with Multiple Possible In-Situ Scenarios
Dani Irwan, Saerahany Legori Ibrahim, Sarmad Dashti Latif, et al.
Environmental and Sustainability Indicators (2025), pp. 100620-100620
Open Access | Times Cited: 1
Federated learning with hyperparameter-based clustering for electrical load forecasting
Nastaran Gholizadeh, Petr Musı́lek
Internet of Things (2021) Vol. 17, pp. 100470-100470
Open Access | Times Cited: 65
A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem
Renke Liu, Rajesh Piplani, Carlos Toro
Computers & Operations Research (2023) Vol. 159, pp. 106294-106294
Closed Access | Times Cited: 31
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset
Nebojša Bačanin, K. Venkatachalam, Timea Bezdan, et al.
Microprocessors and Microsystems (2023) Vol. 98, pp. 104778-104778
Open Access | Times Cited: 28
Exploring the Impact of AI on The EFL Context: A Case Study of Saudi Universities
Abdalilah. G. I. Alhalangy, Mohammed AbdAlgane
Journal of Intercultural Communication (2023), pp. 41-49
Open Access | Times Cited: 27
Machine Learning: Models, Challenges, and Research Directions
Tala Talaei Khoei, Naima Kaabouch
Future Internet (2023) Vol. 15, Iss. 10, pp. 332-332
Open Access | Times Cited: 22
IoT convergence with machine learning & blockchain: A review
Elham Fazel, Mahmoud Zahedian Nezhad, Javad Rezazadeh, et al.
Internet of Things (2024) Vol. 26, pp. 101187-101187
Closed Access | Times Cited: 14
Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approaches
Oihane Gómez–Carmona, Diego Casado–Mansilla, Diego López–de–Ipiña, et al.
Internet of Things (2024) Vol. 25, pp. 101048-101048
Open Access | Times Cited: 11
A survey on IoT application layer protocols, security challenges, and the role of explainable AI in IoT (XAIoT)
Vagner E. Quincozes, Silvio E. Quincozes, Juliano F. Kazienko, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 1975-2002
Open Access | Times Cited: 8
QoS and Privacy-Aware Routing for 5G-Enabled Industrial Internet of Things: A Federated Reinforcement Learning Approach
Xiaoding Wang, Jia Hu, Hui Lin, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 6, pp. 4189-4197
Closed Access | Times Cited: 48
Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS
Saeed Hamood Alsamhi, Faris A. Almalki, Hatem Al-Dois, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 43
An integrated federated learning algorithm for short-term load forecasting
Yang Yang, Zijin Wang, Shangrui Zhao, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108830-108830
Open Access | Times Cited: 35
Federated Learning-Based Multi-Energy Load Forecasting Method Using CNN-Attention-LSTM Model
Ge Zhang, Songyang Zhu, Xiaoqing Bai
Sustainability (2022) Vol. 14, Iss. 19, pp. 12843-12843
Open Access | Times Cited: 34
Identification Overview of Industry 4.0 Essential Attributes and Resource-Limited Embedded Artificial-Intelligence-of-Things Devices for Small and Medium-Sized Enterprises
Martin Bartoň, Roman Budjač, Pavol Tanuška, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5672-5672
Open Access | Times Cited: 28
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
Deep convolutional neural networks-based Hardware–Software on-chip system for computer vision application
Seifeddine Messaoud, Soulef Bouaafia, Amna Maraoui, et al.
Computers & Electrical Engineering (2022) Vol. 98, pp. 107671-107671
Closed Access | Times Cited: 24
Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Barshan Dev, Md Ashikur Rahman, Md. Jahidul Islam, et al.
Materials Today Communications (2023) Vol. 38, pp. 107659-107659
Closed Access | Times Cited: 15
Dynamic indoor thermal environment using Reinforcement Learning-based controls: Opportunities and challenges
Arnab Chatterjee, Dolaana Khovalyg
Building and Environment (2023) Vol. 244, pp. 110766-110766
Open Access | Times Cited: 14
A review of on-device machine learning for IoT: An energy perspective
Nazlı Tekin, Ahmet Arış, Abbas Acar, et al.
Ad Hoc Networks (2023) Vol. 153, pp. 103348-103348
Closed Access | Times Cited: 14
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