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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:

AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features
Pan Huang, Xiaoheng Tan, Chen Chen, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 122-122
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Deep learning-based approaches for robust classification of cervical cancer
İshak Paçal, Serhat Kılıçarslan
Neural Computing and Applications (2023) Vol. 35, Iss. 25, pp. 18813-18828
Closed Access | Times Cited: 61
Exploring data mining and machine learning in gynecologic oncology
Ferdaous Idlahcen, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 22
Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images
Min Li, Xiaojian Ma, Chen Chen, et al.
IEEE Access (2021) Vol. 9, pp. 53687-53707
Open Access | Times Cited: 60
Cervical Net: A Novel Cervical Cancer Classification Using Feature Fusion
Hiam Alquran, Mohammed Alsalatie, Wan Azani Mustafa, et al.
Bioengineering (2022) Vol. 9, Iss. 10, pp. 578-578
Open Access | Times Cited: 46
Skeletal Fracture Detection with Deep Learning: A Comprehensive Review
Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin, et al.
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3245-3245
Open Access | Times Cited: 23
Surgery-based radiation-free multimodality treatment for locally advanced cervical cancer
Che-Wei Chang, Szu‐Ting Yang, Hung‐Hsien Liu, et al.
Taiwanese Journal of Obstetrics and Gynecology (2024) Vol. 63, Iss. 5, pp. 651-664
Open Access | Times Cited: 15
RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification
Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 364-364
Open Access | Times Cited: 1
FABNet: Fusion Attention Block and Transfer Learning for Laryngeal Cancer Tumor Grading in P63 IHC Histopathology Images
Pan Huang, Xiaoheng Tan, Xiaoli Zhou, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1696-1707
Closed Access | Times Cited: 47
ASI-DBNet: An Adaptive Sparse Interactive ResNet-Vision Transformer Dual-Branch Network for the Grading of Brain Cancer Histopathological Images
Xiaoli Zhou, Chaowei Tang, Pan Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2022)
Closed Access | Times Cited: 31
Differential Evolution Optimization Based Ensemble Framework for Accurate Cervical Cancer Diagnosis
Omair Bilal, Sohaib Asif, Ming Zhao, et al.
Applied Soft Computing (2024), pp. 112366-112366
Closed Access | Times Cited: 8
LPCANet: Classification of Laryngeal Cancer Histopathological Images Using a CNN with Position Attention and Channel Attention Mechanisms
Xiaoli Zhou, Chaowei Tang, Pan Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 4, pp. 666-682
Closed Access | Times Cited: 38
Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification
Wen Chen, Weiming Shen, Liang Gao, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3272-3272
Open Access | Times Cited: 26
Automated Diabetic Foot Ulcer Detection and Classification Using Deep Learning
Sunnam Nagaraju, K. Vijaya Kumar, B. Prameela Rani, et al.
IEEE Access (2023) Vol. 11, pp. 127578-127588
Open Access | Times Cited: 12
Deep Learning–based Diagnosis of Pulmonary Tuberculosis on Chest X-ray in the Emergency Department: A Retrospective Study
Chih‐Hung Wang, Wei-Shan Chang, Meng‐Rui Lee, et al.
Deleted Journal (2024) Vol. 37, Iss. 2, pp. 589-600
Open Access | Times Cited: 4
Cerebral hemorrhage detection and localization with medical imaging for cerebrovascular disease diagnosis and treatment using explainable deep learning
Kwang Hyeon Kim, Hae-Won Koo, Byung-Jou Lee, et al.
Journal of the Korean Physical Society (2021) Vol. 79, Iss. 3, pp. 321-327
Closed Access | Times Cited: 27
Automated Diagnosis of Cervical Intraepithelial Neoplasia in Histology Images via Deep Learning
Bum‐Joo Cho, Jeong-Won Kim, Jungkap Park, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 548-548
Open Access | Times Cited: 17
Potential roles of transformers in brain tumor diagnosis and treatment
Yu‐Long Lan, Shuang Zou, Bing Qin, et al.
Brain‐X (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 10
Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions
Diksha Sambyal, Abid Sarwar
Micron (2023) Vol. 173, pp. 103520-103520
Closed Access | Times Cited: 10
Synchronous multiple primary cancers involving cervical cancer and follicular lymphoma: A case report
Shiyue Liu, Han Yu, Hong Li, et al.
Oncology Letters (2025) Vol. 29, Iss. 4
Open Access
CerMixer: An Efficient Model for Cervical Cancer Classification Based on Patching and Multi-scale Depthwise Convolutional Fusion
Thanh-an Pham, Van-Dung Hoang, D.H. Tran, et al.
Lecture notes in computer science (2025), pp. 240-253
Closed Access
Efficacy and Safety of Atezolizumab as a PD-L1 Inhibitor in the Treatment of Cervical Cancer: A Systematic Review
Milan Daniel Velimirovici, Cătălin Vlăduț Ionuț Feier, Razvan Constantin Vonica, et al.
Biomedicines (2024) Vol. 12, Iss. 6, pp. 1291-1291
Open Access | Times Cited: 3
A Robust and Explainable Deep Learning Method for Cervical Cancer Screening
Marcello Di Giammarco, Francesco Mercaldo, Xiaoli Zhou, et al.
Communications in computer and information science (2024), pp. 111-125
Closed Access | Times Cited: 3
SAC-Net: Enhancing Spatiotemporal Aggregation in Cervical Histological Image Classification via Label-Efficient Weakly Supervised Learning
Xiyue Wang, De Cai, Sen Yang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 8, pp. 6774-6784
Closed Access | Times Cited: 8
A Recent Systematic Review of Cervical Cancer Diagnosis: Detection and Classification
Wan Azani Mustafa, Nur Ain Alias, Mohd Aminuddin Jamlos, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2022) Vol. 28, Iss. 1, pp. 81-96
Open Access | Times Cited: 12
A Prospective Study on the Progression, Recurrence, and Regression of Cervical Lesions: Assessing Various Screening Approaches
Tudor Gîscă, Iulian-Valentin Munteanu, Ingrid-Andrada Vasilache, et al.
(2024)
Open Access | Times Cited: 2
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