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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:

Intelligent Resource Allocation in LoRaWAN Using Machine Learning Techniques
Syed Usama Minhaj, Aamir Mahmood, Sarder Fakhrul Abedin, et al.
IEEE Access (2023) Vol. 11, pp. 10092-10106
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Energy-Sustainable IoT Connectivity: Vision, Technological Enablers, Challenges, and Future Directions
Onel L. Alcaraz López, Osmel Martínez Rosabal, David E. Ruíz‐Guirola, et al.
IEEE Open Journal of the Communications Society (2023) Vol. 4, pp. 2609-2666
Open Access | Times Cited: 32
LoRaWAN Meets ML: A Survey on Enhancing Performance with Machine Learning
Arshad Farhad, Jae-Young Pyun
Sensors (2023) Vol. 23, Iss. 15, pp. 6851-6851
Open Access | Times Cited: 18
Machine-Learning-Assisted Transmission Power Control for LoRaWAN Considering Environments With High Signal- to -Noise Variation
Mauricio González Palacio, Diana P. Tobón, Lina M. Sepúlveda-Cano, et al.
IEEE Access (2024) Vol. 12, pp. 54449-54470
Open Access | Times Cited: 5
Tiny Machine Learning (TinyML) for Efficient Channel Selection in LoRaWAN
Muhammad Ali Lodhi, Mohammad S. Obaidat, Lei Wang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 30714-30724
Closed Access | Times Cited: 5
Enabling Sustainable Urban Ecosystems: Uniting AI and IoT in Smart City Frameworks
Shaista Tarannum, S. Usha, Fathimuz Zohra
Lecture notes in intelligent transportation and infrastructure (2025), pp. 409-427
Closed Access
TinyML-Based Approach for Dynamic Transmission Power in LoRaWAN Network
Muhammad Ali Lodhi, Lei Wang, Khalid Ibrahim Qureshi, et al.
Communications in computer and information science (2025), pp. 217-227
Closed Access
Gateway configuration in 2.4 GHz LoRa networks
Dimitrios Zorbas, Luigi Di Puglia Publiese, Ruana Saduakhas, et al.
Internet of Things (2025), pp. 101567-101567
Closed Access
Recent Developments in AI and ML for IoT: A Systematic Literature Review on LoRaWAN Energy Efficiency and Performance Optimization
Maram Abdullah Alkhayyal, Almetwally M. Mostafa
Sensors (2024) Vol. 24, Iss. 14, pp. 4482-4482
Open Access | Times Cited: 3
Enhancement in Optimal Resource-Based Data Transmission Over LPWAN Using a Deep Adaptive Reinforcement Learning Model Aided by Novel Remora With Lotus Effect Optimization Algorithm
M. Rajeswara Rao, S. Sundar
IEEE Access (2024) Vol. 12, pp. 76515-76531
Open Access | Times Cited: 2
Efficient collision control and auction-based resource allocation mechanism in dense LoRaWAN network via TCP using DRL technique
Sultana Parween, Syed Zeeshan Hussain
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
iSFA: Intelligent SF Allocation Approach for LoRa-Based Mobile and Static End Devices
Anakhi Hazarika, Nikumani Choudhury
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2024), pp. 1-6
Closed Access | Times Cited: 2
An Efficient Method for Optimal Allocation of Resources in LPWAN Using Hybrid Coati-Energy Valley Optimization Algorithm Based on Reinforcement Learning
M. Rajeswara Rao, S. Sundar
IEEE Access (2023) Vol. 11, pp. 116169-116182
Open Access | Times Cited: 7
Adaptive Resource Allocation Utilizing Periodic Traffic and Clock Drift in LPWAN
Aoto Kaburaki, Koichi Adachi, Osamu Takyu, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 4, pp. 3795-3807
Closed Access | Times Cited: 6
A comprehensive study of LPWAN, LoRaWAN for IoT: Background, related research, performance, potential challenges and proposed methodology
Shaista Tarannum, S. M. Usha, G. F. Ali Ahammed
AIP conference proceedings (2024) Vol. 3122, pp. 080001-080001
Closed Access | Times Cited: 1
Developing an Intelligent Decision Support System for large-scale smart grid communication network planning
Marcos Alberto Mochinski, Mauricio Biczkowski, Ivan Jorge Chueiri, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111159-111159
Closed Access | Times Cited: 4
A Comprehensive Review of an Artificial Intelligence Assisted Resource Allocation Strategy in Wireless Sensor Networks
P. Packiyalakshmi, A. Ramathilagam
(2024), pp. 129-136
Closed Access
Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions
Phanupong Tempiem, Rardchawadee Silapunt
(2024)
Open Access
Autonomous Lightweight Scheduling in LoRa-Based Networks Using Reinforcement Learning
Batyrkhan Baimukhanov, Bibarys Gilazh, Dimitrios Zorbas
(2024), pp. 268-271
Closed Access
Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions
Phanupong Tempiem, Rardchawadee Silapunt
Telecom (2024) Vol. 5, Iss. 4, pp. 941-960
Open Access
A novel effective key synchronization approach based on optimized deep neural networks for IoT-based low-power wide area networks
Abbas Dehghani, Sadegh Fadaei, Resul Daş
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Enhancing 5G Efficiency: Regression Analysis for Resource Allocation Optimization in Wireless Networks
Padmageetha B.G, Pramod Kumar Naik, Mallanagouda Patil
(2024), pp. 1-6
Closed Access
AI-driven Adaptive Data Rate for LoRaWAN Location-Based Services
Daeho Kim, Jae-Young Pyun
IEEE Access (2024) Vol. 12, pp. 168349-168359
Open Access
Enhanced Reinforcement Learning Algorithm Based-Transmission Parameter Selection for Optimization of Energy Consumption and Packet Delivery Ratio in LoRa Wireless Networks
Batyrbek Zholamanov, Askhat Bolatbek, Ahmet Saymbetov, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 6, pp. 89-89
Open Access
Spreading Factor Classification In Lora Communication Based on Machine Learning
Dwi Giovanni, Favian Dewanta, Levy Olivia Nur
(2024), pp. 557-562
Closed Access
Bayesian-driven optimizations of TinyML for efficient edge intelligence in LPWANs
Aristeidis Karras, Christos Karras
Elsevier eBooks (2024), pp. 255-281
Closed Access
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