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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:

Mutual gain adaptive network for segmenting brain stroke lesions
Boyu Huang, Guanru Tan, Haowen Dou, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109568-109568
Closed Access | Times Cited: 12

Showing 12 citing articles:

Spatial dynamic graph convolutional network for traffic flow forecasting
Huaying Li, Shumin Yang, Youyi Song, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 14986-14998
Closed Access | Times Cited: 27
Research Challenges and Future Perspective for Brain Stroke Lesions Segmentation
Ankita Saini, Puneet Jain
Communications in computer and information science (2025), pp. 69-79
Closed Access
U-Net-Based Models for Precise Brain Stroke Segmentation
Suat İnce, İsmail Kunduracıoğlu, Bilal Bayram, et al.
Chaos Theory and Applications (2025) Vol. 7, Iss. 1, pp. 50-60
Open Access
Automated detection of intracranial artery stenosis and occlusion in magnetic resonance angiography: A preliminary study based on deep learning
Jinming Qiu, Guanru Tan, Yan Lin, et al.
Magnetic Resonance Imaging (2022) Vol. 94, pp. 105-111
Closed Access | Times Cited: 19
An appraisal of the performance of AI tools for chronic stroke lesion segmentation
Ramsha Ahmed, Aamna Al Shehhi, Bilal Hassan, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107302-107302
Closed Access | Times Cited: 9
Segmentation of stroke lesions using transformers‐augmented MRI analysis
Ramsha Ahmed, Aamna Al Shehhi, Naoufel Werghi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 11
Open Access | Times Cited: 2
A robust ischemic stroke lesion segmentation technique using two-pathway 3D deep neural network in MR images
Abhishek Bal, Minakshi Banerjee, Rituparna Chaki, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 41485-41524
Closed Access | Times Cited: 5
Segmentation of Ischemic stroke in Brain DWI MRI
K. Srisabarimani, R. Arthi
(2024), pp. 709-712
Closed Access
Detection of land subsidence using hybrid and ensemble deep learning models
Narges Kariminejad, Aliakbar Mohammadifar, Adel Sepehr, et al.
Applied Geomatics (2024) Vol. 16, Iss. 3, pp. 593-610
Closed Access
PSFNet: A Deep Learning Network for Fake Passport Detection
Jiafeng Xu, Dawei Jia, Zhizhe Lin, et al.
IEEE Access (2022) Vol. 10, pp. 123337-123348
Open Access | Times Cited: 2
Segmentation of Hemorrhagic stroke in Brain MR Image
K. Srisabarimani, R. Arthi
(2023), pp. 1-6
Closed Access
A Review: Binary Classification and Hybrid Segmentation of Brain Stroke using Transfer Learning-Based Approach
N. Parimala, G. Muneeswari
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-6
Closed Access
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