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:

Towards Cell-Free Massive MIMO: A Measurement-Based Analysis
David Löschenbrand, Markus Hofer, Laura Bernadó, et al.
IEEE Access (2022) Vol. 10, pp. 89232-89247
Open Access | Times Cited: 17

Showing 17 citing articles:

From 5G-Advanced to 6G in 2030: New Services, 3GPP Advances, and Enabling Technologies
Romeo Giuliano
IEEE Access (2024) Vol. 12, pp. 63238-63270
Open Access | Times Cited: 10

The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications
Nuria González‐Prelcic, Musa Furkan Keskin, Ossi Kaltiokallio, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 7, pp. 676-723
Open Access | Times Cited: 9

Implementation of the deep learning method for signal detection in massive-MIMO-NOMA systems
Арун Кумар, Nishant Gaur, Manoj Gupta, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25374-e25374
Open Access | Times Cited: 8

SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure
Rohin Gillgallon, Reham Almutairi, Giacomo Bergami, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1591-1591
Open Access

UAV Communications in 6G Cell-Free Massive MIMO Systems
Nagla Abuzgaia, Abdelhamid Younis, Raed Mesleh
(2023), pp. 634-639
Closed Access | Times Cited: 4

System Level Performance Assessment of Large-Scale Cell-Free Massive MIMO Orientations With Cooperative Beamforming
Panagiotis K. Gkonis, Spyros Lavdas, George Vardoulias, et al.
IEEE Access (2024) Vol. 12, pp. 92073-92086
Open 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

Large Intelligent Surface Measurements for Joint Communication and Sensing
Christian Nelson, Xuhong Li, Thomas Wilding, et al.
(2023), pp. 228-233
Open Access | Times Cited: 3

Spectral Efficiency of Time-Variant Massive MIMO Using Wiener Prediction
David Löschenbrand, Markus Hofer, Thomas Zemen
IEEE Communications Letters (2023) Vol. 27, Iss. 4, pp. 1225-1229
Open Access | Times Cited: 2

Distributed MIMO Measurements for Integrated Communication and Sensing in an Industrial Environment
Christian Nelson, Xuhong Li, Aleksei Fedorov, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1385-1385
Open Access

Massive MIMO Channel Measurements for a Railway Station Scenario
Markus Hofer, David Löschenbrand, Stefan Zelenbaba, et al.
2022 IEEE Wireless Communications and Networking Conference (WCNC) (2023), pp. 1-6
Closed Access | Times Cited: 1

Measurement of the V2I Channel in Cell-free Vehicular Networks with the Distributed MaMIMOSA Channel Sounder
Eric Pierre Simon, Pierre Laly, Joumana Farah, et al.
2022 16th European Conference on Antennas and Propagation (EuCAP) (2023), pp. 1-5
Open Access | Times Cited: 1

Uncoordinated Transmissions in Uplink IoT Cell-Free Massive MIMO Systems Based on NOMA
Joumana Farah, Cybele Ghanem, Eric Pierre Simon
(2023), pp. 1479-1483
Open Access | Times Cited: 1

Implementation of the Deep Learning Method for Signal Detection in Massive-MIMO-NOMA Systems
Арун Кумар, Nishant Gaur, Manoj Gupta, et al.
(2023)
Closed Access | Times Cited: 1

An Open Dataset Storage Standard for 6G Testbeds
Gilles Callebaut, Michiel Sandra, Christian Nelson, et al.
2022 IEEE Conference on Antenna Measurements and Applications (CAMA) (2023), pp. 347-352
Open Access | Times Cited: 1

Geometry-Based Stochastic Model and Statistical Characteristic Analysis of Cell-Free Massive MIMO Channels
Chengjian Liao, Kui Xu, Xiaochen Xia, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 2

Machine Learning-Based Channel Prediction for Widely Distributed Massive MIMO with Real-World Data
David Löschenbrand, Markus Hofer, Lukas Eller, et al.
2014 48th Asilomar Conference on Signals, Systems and Computers (2023), pp. 982-987
Closed Access

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