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:

Explainability of Neural Networks for Symbol Detection in Molecular Communication Channels
Jorge Torres Gómez, Pit Hofmann, Frank H. P. Fitzek, et al.
IEEE Transactions on Molecular Biological and Multi-Scale Communications (2023) Vol. 9, Iss. 3, pp. 323-328
Closed Access | Times Cited: 9

Showing 9 citing articles:

Taming Signal-Dependent Counting Noise with Machine Learning for Molecular Communication
Yaqing Zhang, Min Luo, Chao Wang, et al.
(2025), pp. 76-86
Closed Access

Molecular communication data augmentation and deep learning based detection
Davide Scazzoli, Fardad Vakilipoor, Maurizio Magarini
Nano Communication Networks (2024) Vol. 40, pp. 100510-100510
Open Access | Times Cited: 1

An Informer-based Signal Sequence Detector for Mobile Molecular Communication
Zhen Cheng, Zhichao Zhang, Xuancheng Jin, et al.
IEEE Communications Letters (2024) Vol. 28, Iss. 6, pp. 1397-1401
Closed Access

Integrating Model-Based and Data-Driven Detectors for Molecular MIMO Systems
Min Luo, Yu Huang, Mingyue Cheng, et al.
IEEE Wireless Communications Letters (2024) Vol. 13, Iss. 6, pp. 1720-1724
Closed Access

Explainable Asymmetric Auto-Encoder for End-to-End Learning of IoBNT Communications
Roya Khanzadeh, Stefan Angerbauer, Jorge Torres Gómez, et al.
(2024), pp. 412-418
Closed Access

Channel modeling for diffusion-based molecular MIMO communications using deep learning
Zhen Cheng, Miaodi Chen, Heng Liu, et al.
Nano Communication Networks (2024) Vol. 42, pp. 100543-100543
Closed Access

Reinforcement Learning-Based Receiver for Molecular Communication with Mobility
Lisa Y. Debus, Pit Hofmann, Jorge Torres Gómez, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 558-564
Closed Access | Times Cited: 1

Guest Editorial Introduction to the Special Feature on the 7th Workshop on Molecular Communications
Vahid Jamali, Falko Dressler, Yifan Chen, et al.
IEEE Transactions on Molecular Biological and Multi-Scale Communications (2023) Vol. 9, Iss. 3, pp. 308-311
Open Access

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