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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 Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges
F. Fernando Jurado-Lasso, Letizia Marchegiani, J. F. Jurado, et al.
IEEE Access (2022) Vol. 10, pp. 23560-23592
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Machine-Learning-Based Traffic Classification in Software-Defined Networks
Rehab H. Serag, Mohamed S. Abdalzaher, Hussein A. Elsayed, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1108-1108
Open Access | Times Cited: 10
Software-Defined Wireless Sensor Network: A Comprehensive Survey
Abhishek Narwaria, Arka Prokash Mazumdar
Journal of Network and Computer Applications (2023) Vol. 215, pp. 103636-103636
Closed Access | Times Cited: 21
Intelligent Energy-Aware Routing Protocol in Mobile IoT Networks Based on SDN
Raheleh Samadi, Amin Nazari, Jochen Seitz
IEEE Transactions on Green Communications and Networking (2023) Vol. 7, Iss. 4, pp. 2093-2103
Open Access | Times Cited: 19
Analysis of the Use of Artificial Intelligence in Software-Defined Intelligent Networks: A Survey
Bayron Jesit Ospina Cifuentes, Álvaro Suárez, Vanessa García Pineda, et al.
Technologies (2024) Vol. 12, Iss. 7, pp. 99-99
Open Access | Times Cited: 6
DoS/DDoS attacks in Software Defined Networks: Current situation, challenges and future directions
Mohamed Ali Setitra, Mingyu Fan, Ilyas Benkhaddra, et al.
Computer Communications (2024) Vol. 222, pp. 77-96
Closed Access | Times Cited: 5
Controller placement in software defined emerging networks: a review and future directions
Tasneem Darwish, Taqwa Ahmed Alhaj, Fatin A. Elhaj
Telecommunication Systems (2025) Vol. 88, Iss. 1
Closed Access
A Survey on Energy Drainage Attacks and Countermeasures in Wireless Sensor Networks
J. W. Lee, You-Rak Choi, Beomkyu Suh, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2213-2213
Open Access
Network resource management mechanisms in SDN enabled WSNs: A comprehensive review
Vikas Tyagi, Samayveer Singh
Computer Science Review (2023) Vol. 49, pp. 100569-100569
Closed Access | Times Cited: 14
TSCH in Edge IoT: A Comprehensive Survey of Research Challenges
D. Rekha, L Pavithra
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 3
Closed Access
Dynamic reconfiguration of wireless sensor networks: A survey
Salma Najjar, Michaël David, William Derigent, et al.
Computer Networks (2025), pp. 111176-111176
Closed Access
An Energy-Efficient Routing Protocol with Reinforcement Learning in Software-Defined Wireless Sensor Networks
Daniel Godfrey, Beomkyu Suh, Byung Hyun Lim, et al.
Sensors (2023) Vol. 23, Iss. 20, pp. 8435-8435
Open Access | Times Cited: 11
HRL-TSCH: A Hierarchical Reinforcement Learning-Based TSCH Scheduler for IIoT
F. Fernando Jurado-Lasso, Charalampos Orfanidis, J. F. Jurado, et al.
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 10, Iss. 6, pp. 2102-2118
Open Access | Times Cited: 3
Operating Systems and Hypervisors for Network Functions: A Survey of Enabling Technologies and Research Studies
Akhilesh S. Thyagaturu, Prateek Shantharama, Ahmed Nasrallah, et al.
IEEE Access (2022) Vol. 10, pp. 79825-79873
Open Access | Times Cited: 17
State-of-the-Art Review of Deep Learning Methods in Fake Banknote Recognition Problem
Ualikhan Sadyk, Rashid Baimukashev, Cemil Turan
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks
F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, et al.
IEEE Systems Journal (2024) Vol. 18, Iss. 2, pp. 1068-1079
Open Access | Times Cited: 2
An adaptive fault detection model based on variational auto-encoders and unsupervised transfer learning
Fengjun Shang, fengyin sun, Jiayu Wen
Applied Soft Computing (2024) Vol. 157, pp. 111515-111515
Closed Access | Times Cited: 2
Vector Based Genetic Lavrentyev Paraboloid Network Wireless Sensor Network Lifetime Improvement
Neethu Krishna, G. Naveen Sundar, D. Narmadha
Wireless Personal Communications (2024) Vol. 134, Iss. 4, pp. 1917-1944
Closed Access | Times Cited: 2
Optimizing Multi-Tier Scheduling and Secure Routing in Edge-Assisted Software-Defined Wireless Sensor Network Environment Using Moving Target Defense and AI Techniques
As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed A. M. Sharadqh, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 386-386
Open Access | Times Cited: 2
Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN With Modified Honeycomb Structure
JOSEPH KIPONGO, Theo G. Swart, Ebenezer Esenogho
IEEE Access (2023) Vol. 12, pp. 3140-3175
Open Access | Times Cited: 5
Machine Learning Routing Protocol in Mobile IoT based on Software-Defined Networking
Raheleh Samadi, Joehen Seitz
(2022), pp. 108-111
Closed Access | Times Cited: 8
Development of a Framework for Predicting Students' Academic Performance in STEM Education using Machine Learning Methods
Rustam Abdrakhmanov, Ainur Zhaxanova, Malika Karatayeva, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Testing of Emerging Wireless Sensor Networks Using Radar Signals With Machine Learning Algorithms
Shitharth Selvarajan, Hariprasath Manoharan, Adil O. Khadidos, et al.
Deleted Journal (2024) Vol. 1, pp. 49-59
Open Access | Times Cited: 1
Traffic data classification in SDN network based on machine learning algorithms
Samah Adil, Ali Saeed Dayem Alfoudi
Wasit Journal of Pure sciences (2024) Vol. 3, Iss. 2, pp. 161-171
Open Access | Times Cited: 1
Deep Reinforcement Learning for UAV-Based SDWSN Data Collection
Pejman A. Karegar, Duaa Zuhair Al-Hamid, Peter Han Joo Chong
Future Internet (2024) Vol. 16, Iss. 11, pp. 398-398
Open Access | Times Cited: 1
Development of an Intelligent Service Delivery System to Increase Efficiency of Software Defined Networks
Serik Joldasbayev, Saya Sapakova, Almash Zhaksylyk, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 12
Open Access | Times Cited: 3
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