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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:

An integrated convolutional neural network with attention guidance for improved performance of medical image classification
Coşku Öksüz, Oğuzhan Urhan, M. Kemal Güllü
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 2067-2099
Closed Access | Times Cited: 12

Showing 12 citing articles:

An attention-fused architecture for brain tumor diagnosis
Arash Hekmat, Zuping Zhang, Saif Ur Rehman Khan, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107221-107221
Closed Access | Times Cited: 11
DASNet: A Convolutional Neural Network with SE Attention Mechanism for ccRCC Tumor Grading
Xiaoyi Yu, Donglin Zhu, Hongjie Guo, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access
Multi-modal global- and local- feature interaction with attention-based mechanism for diagnosis of Alzheimer’s disease
Nana Jia, Tong Jia, Zhao Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106404-106404
Closed Access | Times Cited: 3
Deep learning and radiomics-based approach to meningioma grading: exploring the potential value of peritumoral edema regions
Zhuo Zhang, Ying Miao, Jixuan Wu, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 10, pp. 105002-105002
Closed Access | Times Cited: 2
ADBNet: An Attention-Guided Deep Broad Convolutional Neural Network for the Classification of Breast Cancer Histopathology Images
Musfequa Rahman, Kaushik Deb, Pranab Kumar Dhar, et al.
IEEE Access (2024) Vol. 12, pp. 133784-133809
Open Access | Times Cited: 2
ConjunctiveNet: an improved deep learning-based conjunctive-eyes segmentation and severity detection model
Seema Pahwa, Amandeep Kaur, Poonam Dhiman, et al.
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 17, Iss. 4, pp. 783-804
Closed Access | Times Cited: 2
Cross-attention guided loss-based deep dual-branch fusion network for liver tumor classification
Rui Wang, Xiaoshuang Shi, Shuting Pang, et al.
Information Fusion (2024), pp. 102713-102713
Closed Access | Times Cited: 2
RELA_Net: Upper Airway CBCT Image Segmentation Model Based on Receptive Field Expansion and Large-Kernel Attention
Hongyong Gao, Weibo Song, Shulin Cui, et al.
IEEE Access (2024) Vol. 12, pp. 89713-89725
Open Access
CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies
Naveed Ilyas, Farhat Naseer, Anwar A. Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Quaternion Squeeze and Excitation Networks: Mean, Variance, Skewness, Kurtosis As One Entity
Mohamed Amine Mezghich, Dorsaf Hmida, Slim Mhiri, et al.
Lecture notes in computer science (2024), pp. 174-189
Closed Access
Uncertainty-RIFA-Net: Uncertainty Aware Robust Information Fusion Attention Network for Brain Tumors Classification in MRI Images
Joy Dhar, Kapil Rana, Puneet Goyal
Lecture notes in computer science (2024), pp. 311-327
Closed Access
Evolving medical image classification: a three-tiered framework combining MSPLnet and IRNet-VGG19
G. Annapoorani, M. Palanisamy, C. Heltin Genitha
Evolving Systems (2024) Vol. 16, Iss. 1
Closed Access
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