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:

Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC
Ali Nauman, Wali Ullah Khan, Ghadah Aldehim, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 36, Iss. 1, pp. 101870-101870
Open Access | Times Cited: 6

Showing 6 citing articles:

Optimizing User Association, Power Control and Beamforming for 6G Multi-IRS Multi-UAV NOMA Communications in Smart Cities
Nabila Sehito, Shouyi Yang, Haya Mesfer Alshahrani, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 3, pp. 5702-5710
Closed Access | Times Cited: 6

A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges
Manzoor Ahmed, Salman Raza, Aized Amin Soofi, et al.
Computer Science Review (2024) Vol. 54, pp. 100668-100668
Closed Access | Times Cited: 6

Factories of the future in industry 5.0—Softwarization, Servitization, and Industrialization
Amr Adel, Noor Haitham Saleem, Tony Jan
Internet of Things (2024) Vol. 28, pp. 101431-101431
Open Access | Times Cited: 3

Analisis efektivitas ship management untuk optimalisasi kinerja di era industry 5.0
Gadha Septio Mudjiono, Susanti Susanti, Shinta Dwi Nur Anggraini, et al.
Jurnal Ilmu Manajemen (2024), pp. 120-130
Open Access | Times Cited: 1

Optimizing point-of-sale services in MEC enabled near field wireless communications using multi-agent reinforcement learning
Ateeq Ur Rehman, Mashael Maashi, Jamal Alsamri, et al.
Computer Communications (2024) Vol. 228, pp. 107962-107962
Closed Access

Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum
Praveen Kumar Donta, Chinmaya Kumar Dehury, Yu-Chen Hu
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102145-102145
Open Access

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