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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:

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Sinan Tatli, Gülay MAÇİN, İrem Taşçı, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121314-121314
Closed Access | Times Cited: 12

Showing 12 citing articles:

Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access | Times Cited: 1
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Ilknur Tuncer, Abdul Hafeez‐Baig, Prabal Datta Barua, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107538-107538
Open Access | Times Cited: 1
BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images
Melahat Poyraz, Ahmet Kürşad Poyraz, Yusuf Doğan, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Open Access
Deep learning for multiple sclerosis lesion classification and stratification using MRI
Sabina Umirzakova, Shakhnoza Muksimova, Sevara Mardieva, et al.
Computers in Biology and Medicine (2025) Vol. 192, pp. 110078-110078
Closed Access
An Intelligent Model of Segmentation and Classification Using Enhanced Optimization‐Based Attentive Mask RCNN and Recurrent MobileNet With LSTM for Multiple Sclerosis Types With Clinical Brain MRI
Gottipati Gopichand, Kovvuri N. Bhargavi, M. V. S. Ramprasad, et al.
NMR in Biomedicine (2025) Vol. 38, Iss. 6
Closed Access
Exemplar MobileNetV2-Based Artificial Intelligence for Robust and Accurate Diagnosis of Multiple Sclerosis
Tuba Ekmekyapar, Burak Taşçı
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3030-3030
Open Access | Times Cited: 8
Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI
Xue Chen, Yanjun Peng
Expert Systems with Applications (2024) Vol. 254, pp. 124295-124295
Closed Access | Times Cited: 2
A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals
Seda Şaşmaz Karacan, Hamdi Melih Saraoğlu
Computers in Biology and Medicine (2024) Vol. 178, pp. 108728-108728
Closed Access | Times Cited: 2
A partial domain adaptation broad learning system for machinery fault diagnosis
Aisong Qin, Qin Hu, Qinghua Zhang, et al.
Measurement (2024) Vol. 243, pp. 116437-116437
Closed Access | Times Cited: 2
Attention TurkerNeXt: Investigations into Bipolar Disorder Detection Using OCT Images
Sermal Arslan, Mehmet Kaan Kaya, Burak Taşçı, et al.
Diagnostics (2023) Vol. 13, Iss. 22, pp. 3422-3422
Open Access | Times Cited: 5
Revolutionizing Neurological Diagnostics: Integrating 6G Technology with Deep Learning for Enhanced Detection of Multiple Sclerosis and Myelitis
Rana M. NourEldeen, Rahma A. Elshshtawy, Omnia A. Elgohary, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2024), pp. 602-608
Closed Access | Times Cited: 1
A Machine Learning Prediction Model for Myelitis and Multiple Sclerosis Based on Fourier Transform Features from MRI Images
Züleyha Yılmaz Acar
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi (2024)
Open Access
Evaluation of aggregate distribution uniformity using Vision Mamba-based dual networks for concrete aggregate segmentation
Dong Wang, Junxing Zheng, Lin Gao, et al.
Expert Systems with Applications (2024), pp. 126076-126076
Closed Access
Enhanced Material Classification via MobileSEMNet: Leveraging MobileNetV2 for SEM Image Analysis
Cihat Aydin
Traitement du signal (2023) Vol. 40, Iss. 6, pp. 2779-2787
Open Access
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