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:

CervixFuzzyFusion for cervical cancer cell image classification
K. Hemalatha, V. Vetriselvi, Meignanamoorthi Dhandapani, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104920-104920
Closed Access | Times Cited: 22

Showing 22 citing articles:

MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection
İshak Paçal
Knowledge-Based Systems (2024) Vol. 289, pp. 111482-111482
Closed Access | Times Cited: 59

An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection
Omair Bilal, Sohaib Asif, Ming Zhao, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110106-110106
Closed Access | Times Cited: 3

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: 7

Novelty Classification Model Use in Reinforcement Learning for Cervical Cancer
Shakhnoza Muksimova, Sabina Umirzakova, Khusanboy Shoraimov, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3782-3782
Open Access | Times Cited: 6

An efficient Fusion-Purification Network for Cervical pap-smear image classification
Tianjin Yang, Hexuan Hu, Xing Li, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 251, pp. 108199-108199
Closed 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

An automatic cervical cell classification model based on improved DenseNet121
Yue Zhang, Chunyu Ning, Wenjing Yang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification
Zafer Cömert, Ferat Efil, Muammer Türkoğlu
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access

Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images
D. Dakshayani Himabindu, E. Laxmi Lydia, M. Rajesh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Cervical cancer detection through Pap smear images using hybrid deep feature extraction and ensemble machine learning
Rajwinder Singh, Hardeep Kaur, Jyoteesh Malhotra
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access

Multigranularity feature aggregation in vision transformer for lung disease classification and segmentation
Chao Xu, Rong-Yao Ruan, Yong Chen, et al.
Journal of Electronic Imaging (2025) Vol. 34, Iss. 02
Closed Access

Interpretable detector for cervical cytology using self-attention and cell origin group guidance
Peng Jiang, Juan Liu, Jing Feng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108661-108661
Closed Access | Times Cited: 2

A systematic review on deep learning based methods for cervical cell image analysis
Ming Fang, Bo Liao, Xiujuan Lei, et al.
Neurocomputing (2024), pp. 128630-128630
Open Access | Times Cited: 2

Explainable Screening and Classification of Cervical Cancer Cells with Enhanced ResNet-50 and LIME
Baddireddi Sree Chandana, Chakrika Kommana, G Sethu Madhav, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1

An improved approach for automated cervical cell segmentation with PointRend
Baocan Zhang, Wenfeng Wang, Wei Zhao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Enhancing Pap Smear Image Classification: Integrating Transfer Learning and Attention Mechanisms for Improved Detection of Cervical Abnormalities
Tamanna Sood, Padmavati Khandnor, Rajesh Bhatia
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 6, pp. 065031-065031
Closed Access | Times Cited: 1

Cell recognition based on features extracted by AFM and parameter optimization classifiers
Junxi Wang, Fan Yang, Bowei Wang, et al.
Analytical Methods (2024) Vol. 16, Iss. 27, pp. 4626-4635
Closed Access

A pyramid convolutional mixer for cervical pap-smear image classification tasks
Tianjin Yang, Hexuan Hu, Xing Li, et al.
Biomedical Signal Processing and Control (2024), pp. 106789-106789
Closed Access

Self-supervised learning using diverse cell images for cervical cancer classification
K. Hemalatha, V. Vetriselvi
Measurement (2024) Vol. 243, pp. 116413-116413
Closed Access

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