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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:

Deep learning with multiresolution handcrafted features for brain MRI segmentation
Imene Mecheter, Maysam Abbod, Abbes Amira, et al.
Artificial Intelligence in Medicine (2022) Vol. 131, pp. 102365-102365
Open Access | Times Cited: 15

Showing 15 citing articles:

FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery
Xueyu Zhang, Qingxiang Li, Wei Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1552-1563
Closed Access | Times Cited: 15
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities
Dongsong Zhang, Changjian Wang, Tianhua Chen, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102788-102788
Closed Access | Times Cited: 9
Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis
Haojian Liang, Shaohua Wang, Huilai Li, et al.
International Journal of Digital Earth (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 17
Uncertainty quantification and attention-aware fusion guided multi-modal MR brain tumor segmentation
Tongxue Zhou, Shan Zhu
Computers in Biology and Medicine (2023) Vol. 163, pp. 107142-107142
Closed Access | Times Cited: 13
Medical resource allocation planning by integrating machine learning and optimization models
Tasquia Mizan, Sharareh Taghipour
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102430-102430
Closed Access | Times Cited: 22
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning
Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 106, pp. 102218-102218
Open Access | Times Cited: 11
Can the Discovery of High-Impact Diagnostics Be Improved by Matching the Sampling Rate of Clinical Diagnostics to the Frequency Domain of Diagnostic Information?
Steven W. Millward, Peng Wei, David Piwnica‐Worms, et al.
Cancers (2025) Vol. 17, Iss. 9, pp. 1387-1387
Open Access
Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer
Saad Amin, Mashal Alqudah, Saleh Ateeq Almutairi, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34050-e34050
Open Access | Times Cited: 3
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling
Semin Kim, Huisu Yoon, Jongha Lee, et al.
Artificial Intelligence in Medicine (2023) Vol. 145, pp. 102679-102679
Open Access | Times Cited: 5
MMGan: a multimodal MR brain tumor image segmentation method
Leiyi Gao, Jiao Li, Ruixin Zhang, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Current research status of Raman spectroscopy in glioma detection
Jie Liu, Pan Wang, Hua Zhang, et al.
Photodiagnosis and Photodynamic Therapy (2024), pp. 104388-104388
Open Access | Times Cited: 1
Transfer learning from T1‐weighted to T2‐weighted Magnetic resonance sequences for brain image segmentation
Imene Mecheter, Maysam Abbod, Habib Zaidi, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 9, Iss. 1, pp. 26-39
Open Access | Times Cited: 3
A Deep Learning Method for Open-Set Transmission Mode Recognition Based on Multiresolution Time-Frequency Spectrograms
Huang Lin, Xuchu Dai, Chongfa Wang
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 11, Iss. 1, pp. 168-183
Closed Access
FM-LiteLearn: A Lightweight Brain Tumor Classification Framework Integrating Image Fusion and Multi-teacher Distillation Strategies
Shengbo Tan, Ying Cai, Yang Zhao, et al.
Lecture notes in computer science (2024), pp. 89-103
Closed Access
A Medical Image Fusion Method Based on Detail Enhancement Decomposition
Rui Zhang, Yue He, Lina Dai, et al.
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2023), pp. 0934-0941
Closed Access | Times Cited: 1
Correlation-based Clustering of Telecommunication Equipment in Smart Grid
Imene Mecheter, João Vyctor Garcia, Ricardo J. Almeida, et al.
2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) (2022) Vol. 32, pp. 667-671
Closed Access | Times Cited: 1
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