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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:

A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening
Lei Cao, Jinying Yang, Zhiwei Rong, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102197-102197
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A fuzzy distance-based ensemble of deep models for cervical cancer detection
Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 219, pp. 106776-106776
Closed Access | Times Cited: 79
Deep learning for computational cytology: A survey
Hao Jiang, Yanning Zhou, Yi Lin, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102691-102691
Open Access | Times Cited: 76
Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade
Liuying Wang, Yongzhen Song, Hesong Wang, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 2, pp. 253-253
Open Access | Times Cited: 52
Deep integrated fusion of local and global features for cervical cell classification
Ming Fang, Minghan Fu, Bo Liao, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108153-108153
Open Access | Times Cited: 17
An overview of deep learning in medical imaging
Andrés Anaya-Isaza, Leonel Mera-Jiménez, Martha Zequera-Diaz
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100723-100723
Open Access | Times Cited: 94
Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review
Leila Allahqoli, Antonio Simone Laganà, Afrooz Mazidimoradi, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2771-2771
Open Access | Times Cited: 48
Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme
Rishav Pramanik, Bihan Banerjee, George A. Efimenko, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0281815-e0281815
Open Access | Times Cited: 39
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Peng Jiang, Xuekong Li, Hui Shen, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2687-2758
Open Access | Times Cited: 25
LESS: Label-efficient multi-scale learning for cytological whole slide image screening
Beidi Zhao, Wenlong Deng, Zi Han Li, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103109-103109
Open Access | Times Cited: 8
E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image
Lei Cao, Jie Wang, Yuanyuan Zhang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102837-102837
Closed Access | Times Cited: 19
Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology
Yuting Jiang, Chengdi Wang, Shengtao Zhou
Seminars in Cancer Biology (2023) Vol. 96, pp. 82-99
Open Access | Times Cited: 17
A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection
Tingting Chen, Wenhao Zheng, Haochao Ying, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2432-2442
Open Access | Times Cited: 27
Label credibility correction based on cell morphological differences for cervical cells classification
Wenbo Pang, Yue Qiu, Jin Shu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting uterus tumor classification: A comparative study of DenseNet and support vector machine (SVM) accuracy
G. R. Reddy, Chinnaraj Govindasamy
AIP conference proceedings (2025) Vol. 3252, pp. 020042-020042
Closed Access
Cervical Cancer Detection Techniques: A Chronological Review
Wan Azani Mustafa, Shahrina Ismail, Fahirah Syaliza Mokhtar, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1763-1763
Open Access | Times Cited: 12
MSENet: Mean and standard deviation based ensemble network for cervical cancer detection
Rishav Pramanik, Bihan Banerjee, Ram Sarkar
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106336-106336
Closed Access | Times Cited: 11
Survey on deep learning in multimodal medical imaging for cancer detection
Yan Tian, Zhaocheng Xu, Yujun Ma, et al.
Neural Computing and Applications (2023)
Closed Access | Times Cited: 11
MDAA: multi-scale and dual-adaptive attention network for breast cancer classification
Wenxiu Li, Huiyun Long, Xiangbing Zhan, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 4, pp. 3133-3143
Closed Access | Times Cited: 4
Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification
Zhenchen Hong, Jingwei Xiong, Yang Han, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 468-468
Open Access | Times Cited: 4
Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment
Manman Fei, Zhenrong Shen, Zhiyun Song, et al.
Neural Networks (2024) Vol. 178, pp. 106405-106405
Closed Access | Times Cited: 4
Detection of cervical cell based on multi-scale spatial information
Gang Li, Xinyu Fan, Chuanyun Xu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
An efficient framework based on large foundation model for cervical cytopathology whole slide image screening
Jialong Huang, Gaojie Li, Shichao Kan, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107859-107859
Closed Access
Exploring Contextual Relationships for Cervical Abnormal Cell Detection
Yixiong Liang, Shuo Feng, Qing Liu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 4086-4097
Open Access | Times Cited: 10
CerviCell-detector: An object detection approach for identifying the cancerous cells in pap smear images of cervical cancer
Madhura Kalbhor, Swati Shinde, Pankaj Wajire, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22324-e22324
Open Access | Times Cited: 9
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