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:

Recent Trends in Computer Assisted Diagnosis (CAD) System for Breast Cancer Diagnosis Using Histopathological Images
Chetna Kaushal, Shiveta Bhat, Deepika Koundal, et al.
IRBM (2019) Vol. 40, Iss. 4, pp. 211-227
Closed Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Zhou Xiao-min, Chen Li, Md Mamunur Rahaman, et al.
IEEE Access (2020) Vol. 8, pp. 90931-90956
Open Access | Times Cited: 169

Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Ahsan Bin Tufail, Yongkui Ma, Mohammed K. A. Kaabar, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-28
Open Access | Times Cited: 97

PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 24053-24076
Open Access | Times Cited: 38

IoT-Driven Experimental Framework for Advancing Electrical Impedance Tomography
Ramesh Kumar, Ratneshwar Kumar Ratnesh, Jay Singh, et al.
ECS Journal of Solid State Science and Technology (2024) Vol. 13, Iss. 2, pp. 027002-027002
Closed Access | Times Cited: 7

Deep learning approaches for breast cancer detection in histopathology images: A review
Lakshmi Priya C V, Vinai George Biju, B. Vinod, et al.
Cancer Biomarkers (2024) Vol. 40, Iss. 1, pp. 1-25
Open Access | Times Cited: 7

Semi-supervised vision transformer with adaptive token sampling for breast cancer classification
Wei Wang, Ran Jiang, Ning Cui, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 35

Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies
Xinyu Liu, Peng Yuan, Ruolin Li, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105569-105569
Closed Access | Times Cited: 33

Multiplex Immunofluorescence and the Digital Image Analysis Workflow for Evaluation of the Tumor Immune Environment in Translational Research
Frank Rojas, Sharia Hernandez, Rossana Lazcano, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 28

Breast cancer detection using machine learning approaches: a comparative study
Muawia A. Elsadig, Abdelrahman Altigani, Huwaida T. Elshoush
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 736-736
Open Access | Times Cited: 28

Deep-Learning-Based Arrhythmia Detection Using ECG Signals: A Comparative Study and Performance Evaluation
Nitish Katal, Saurav Gupta, Pankaj Verma, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3605-3605
Open Access | Times Cited: 17

BCNet: A Novel Deep Learning Model for Enhanced Breast Cancer Classification Using Histopathological Images
Mikiyas Amare Getu, Chao Lu, Yumeng Liu, et al.
IntechOpen eBooks (2025)
Closed Access

Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directions
Aryan Nikul Patel, Kathiravan Srinivasan
Physica Medica (2025) Vol. 131, pp. 104914-104914
Closed Access

Explainable label guided lightweight network with axial transformer encoder for early detection of oral cancer
Dhirendra Prasad Yadav, Bhisham Sharma, Ajit Noonia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Quantifying Nuclear Structures of Digital Pathology Images Across Cancers Using Transport‐Based Morphometry
Mohammad Shifat‐E‐Rabbi, Natasha Ironside, Naqib Sad Pathan, et al.
Cytometry Part A (2025)
Closed Access

Enhanced early detection of ovarian cancer through deep learning and fuzzy rough sets
Nabil M. Eldakhly
Neural Computing and Applications (2025)
Closed Access

Classification of breast cancer types, sub-types and grade from histopathological images using deep learning technique
Elbetel Taye Zewdie, Abel Worku Tessema, Gizeaddis Lamesgin Simegn
Health and Technology (2021) Vol. 11, Iss. 6, pp. 1277-1290
Closed Access | Times Cited: 32

Therapeutic targeting of angiopoietins in tumor angiogenesis and cancer development
Komal Thapa, Heena Khan, Gagandeep Kaur, et al.
Biochemical and Biophysical Research Communications (2023) Vol. 687, pp. 149130-149130
Closed Access | Times Cited: 12

The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review
Flavia Grignaffini, Francesco Barbuto, Maurizio Troiano, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 388-388
Open Access | Times Cited: 4

Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
Pallavi Bhanudas Salunkhe, Pravin S. Patil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74625-74655
Closed Access | Times Cited: 4

Firefly optimization-based segmentation technique to analyse medical images of breast cancer
Chetna Kaushal, Kirti Kaushal, Anshu Singla
International Journal of Computer Mathematics (2020) Vol. 98, Iss. 7, pp. 1293-1308
Closed Access | Times Cited: 38

A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis
Xin Yu Liew, Nazia Hameed, Jérémie Clos
Cancers (2021) Vol. 13, Iss. 11, pp. 2764-2764
Open Access | Times Cited: 27

A Framework for Interactive Medical Image Segmentation Using Optimized Swarm Intelligence with Convolutional Neural Networks
Chetna Kaushal, Md Khairul Islam, Sara A. Althubiti, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 20

Applying machine learning models on blockchain platform selection
Chhaya Dubey, Dharmendra Kumar, Ashutosh Kumar Singh, et al.
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 8, pp. 3643-3656
Closed Access | Times Cited: 3

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