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:

V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing
Falko Dressler, Carla Fabiana Chiasserini, Frank H. P. Fitzek, et al.
IEEE Network (2022) Vol. 36, Iss. 3, pp. 24-31
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A survey on UAV-assisted wireless communications: Recent advances and future trends
Xiaohui Gu, Guoan Zhang
Computer Communications (2023) Vol. 208, pp. 44-78
Closed Access | Times Cited: 58

Empowering the 6G Cellular Architecture With Open RAN
Michele Polese, Mischa Döhler, Falko Dressler, et al.
IEEE Journal on Selected Areas in Communications (2023) Vol. 42, Iss. 2, pp. 245-262
Open Access | Times Cited: 20

Machine Learning for Service Migration: A Survey
Nassima Toumi, Miloud Bagaa, Adlen Ksentini
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 3, pp. 1991-2020
Closed Access | Times Cited: 15

SLICES, a scientific instrument for the networking community
Serge Fdida, Nikos Makris, Thanasis Korakis, et al.
Computer Communications (2022) Vol. 193, pp. 189-203
Closed Access | Times Cited: 20

Task migration with deadlines using machine learning-based dwell time prediction in vehicular micro clouds
Ziqi Zhou, Agon Memedi, Chunghan Lee, et al.
High-Confidence Computing (2025), pp. 100314-100314
Open Access

Cooperative driving: A comprehensive perspective, the role of communications, and its potential development
Renato Lo Cigno, Michele Segata
Computer Communications (2022) Vol. 193, pp. 82-93
Open Access | Times Cited: 15

A look into smart factory for Industrial IoT driven by SDN technology: A comprehensive survey of taxonomy, architectures, issues and future research orientations
Nteziriza Nkerabahizi Josbert, Min Wei, Ping Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 5, pp. 102069-102069
Open Access | Times Cited: 2

Resource orchestration in 5G and beyond: Challenges and opportunities
Karima Velásquez, David Pérez Abreu, Marília Curado, et al.
Computer Communications (2022) Vol. 192, pp. 311-315
Open Access | Times Cited: 12

Multi-user edge service orchestration based on Deep Reinforcement Learning
Christian Quadri, Alberto Ceselli, Gian Paolo Rossi
Computer Communications (2023) Vol. 203, pp. 30-47
Open Access | Times Cited: 4

Human-Centered Traffic Management Supporting Smart Cities and the Metaverse
Dinesh Cyril Selvaraj, Falko Dressler, Carla Fabiana Chiasserini
(2023)
Closed Access | Times Cited: 4

Microservices in Edge and Cloud Computing for Safety in Intelligent Transportation Systems
João A.B.P. Oliveira, Pedro Teixeira, Pedro Rito, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1

Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks
Irene Kilanioti, Gianluca Rizzo, Barbara M. Masini, et al.
(2022), pp. 82-88
Open Access | Times Cited: 7

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios
Christian Esposito, Gianluca Rizzo
(2022), pp. 477-480
Open Access | Times Cited: 5

Edge-Assisted Opportunistic Federated Learning for Distributed IoT Systems
Noor Khial, Alaa Awad Abdellatif, Amr Mohamed, et al.
(2024), pp. 604-605
Closed Access

ODL: Opportunistic Distributed Learning for Intelligent IoT Systems
Alaa Awad Abdellatif, Noor Khial, Menna Helmy, et al.
IEEE Internet of Things Magazine (2024) Vol. 7, Iss. 4, pp. 92-99
Open Access

Native Support for Federated Learning Hyper-Parameter Optimization in 6G Networks
Mohammad Bariq Khan, Xueli An, Falko Dressler
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2024), pp. 1-6
Closed Access

Joint optimization of UAV aided covert edge computing via a deep reinforcement learning framework
Wei Wei, Shu Fu, Yujie Tang, et al.
Chinese Journal of Aeronautics (2024)
Open Access

AI/ML-based services and applications for 6G-connected and autonomous vehicles
Claudio Casetti, Carla Fabiana Chiasserini, Falko Dressler, et al.
Computer Networks (2024) Vol. 255, pp. 110854-110854
Closed Access

ODL: Opportunistic Distributed Learning for Intelligent IoT systems
Alaa Awad Abdellatif, Noor Khial, Menna Helmy, et al.
(2023)
Open Access | Times Cited: 1

Precise: Predictive Content Dissemination Scheme exploiting realistic mobility patterns
Noelia Pérez Palma, Falko Dressler, Vincenzo Mancuso
Computer Networks (2021) Vol. 201, pp. 108556-108556
Closed Access | Times Cited: 2

Learning-based Dwell Time Prediction for Vehicular Micro Clouds
Max Schettler, Gurjashan Singh Pannu, Seyhan Uçar, et al.
2021 17th International Conference on Mobility, Sensing and Networking (MSN) (2022) Vol. 87, pp. 542-549
Closed Access | Times Cited: 1

Data Sharing in Virtual Edge Computing using Coded Caching
Gurjashan Singh Pannu, Seyhan Uçar, Takamasa Higuchi, et al.
(2023), pp. 104-111
Closed Access

TSOA: Two-State Offloading Algorithm from Users to Co-Located Vehicular Microclouds
Bo-Jun Qiu, Jyh‐Cheng Chen, Falko Dressler
(2023), pp. 146-152
Closed Access

Parameter-less Asynchronous Federated Learning under Computation and Communication Constraints
Mengfan Wu, Mate Boban, Falko Dressler
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) (2023), pp. 1-7
Closed Access

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