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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:

Handling imbalanced medical image data: A deep-learning-based one-class classification approach
Long Gao, Lei Zhang, Chang Liu, et al.
Artificial Intelligence in Medicine (2020) Vol. 108, pp. 101935-101935
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image
Najmul Hasan, Yukun Bao, Ashadullah Shawon, et al.
SN Computer Science (2021) Vol. 2, Iss. 5
Open Access | Times Cited: 123
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 121
SMOTified-GAN for Class Imbalanced Pattern Classification Problems
Anurag Sharma, Prabhat Kumar Singh, Rohitash Chandra
IEEE Access (2022) Vol. 10, pp. 30655-30665
Open Access | Times Cited: 69
SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution
Junnan Li, Qingsheng Zhu, Quanwang Wu, et al.
Knowledge-Based Systems (2021) Vol. 223, pp. 107056-107056
Closed Access | Times Cited: 70
A comparative study on online machine learning techniques for network traffic streams analysis
Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, et al.
Computer Networks (2022) Vol. 207, pp. 108836-108836
Open Access | Times Cited: 60
Bias and Class Imbalance in Oncologic Data—Towards Inclusive and Transferrable AI in Large Scale Oncology Data Sets
Erdal Taşçı, Ying Zhuge, Kevin Camphausen, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2897-2897
Open Access | Times Cited: 59
UnrollingNet: An attention-based deep learning approach for the segmentation of large-scale point clouds of tunnels
Zhaoxiang Zhang, Ankang Ji, Kunyu Wang, et al.
Automation in Construction (2022) Vol. 142, pp. 104456-104456
Closed Access | Times Cited: 38
Researching public health datasets in the era of deep learning: a systematic literature review
Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access | Times Cited: 1
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems
Hongke Zhao, Chuang Zhao, Xi Zhang, et al.
INFORMS journal on computing (2023) Vol. 35, Iss. 4, pp. 747-763
Closed Access | Times Cited: 16
Applications of Deep Learning in Trauma Radiology: A Narrative Review
Chi‐Tung Cheng, Chun-Hsiang Ooyang, Chien-Hung Liao, et al.
Biomedical Journal (2024) Vol. 48, Iss. 1, pp. 100743-100743
Open Access | Times Cited: 7
Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model
Lifeng Xu, Chun Yang, Feng Zhang, et al.
Cancers (2022) Vol. 14, Iss. 11, pp. 2574-2574
Open Access | Times Cited: 27
Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images
Ajay Sharma, Pramod Kumar Mishra
Multimedia Tools and Applications (2022) Vol. 81, Iss. 29, pp. 42649-42690
Open Access | Times Cited: 27
Computer-aided diagnosis of early-stage colorectal cancer using nonmagnified endoscopic white-light images (with videos)
Daiki Nemoto, Zhe Guo, Shinichi Katsuki, et al.
Gastrointestinal Endoscopy (2023) Vol. 98, Iss. 1, pp. 90-99.e4
Closed Access | Times Cited: 15
Artificial intelligence applied to magnetic resonance imaging reliably detects the presence, but not the location, of meniscus tears: a systematic review and meta-analysis
Yi Zhao, Andrew Coppola, Urvi Karamchandani, et al.
European Radiology (2024) Vol. 34, Iss. 9, pp. 5954-5964
Open Access | Times Cited: 5
Multistage transfer learning for medical images
Gelan Ayana, Kokeb Dese, Ahmed Mohammed Abagaro, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 5
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets
Inam Abousaber, H. Abdallah, Hany El-Ghaish
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Calibrated multi-view graph learning framework for infant cognitive abilities prediction
Tong Xiong, Xin Zhang, Jiale Cheng, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107605-107605
Closed Access
Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project
Luke Farrow, Lesley Anderson, Mingjun Zhong
The Knee (2025) Vol. 54, pp. 1-8
Open Access
Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images
Hatice Ahsen DENİZ, İbrahim Şevki Bayrakdar, Rana Nalçacı, et al.
Oral Radiology (2025)
Closed Access
Detecting and classifying breast masses via YOLO-based deep learning
Büşra Kübra Karaca, Ziya Telatar, Selda Güney, et al.
Neural Computing and Applications (2025)
Open Access
Automatic detection of anteriorly displaced temporomandibular joint discs on magnetic resonance images using a deep learning algorithm
Bolun Lin, Mo-sha Cheng, Shuze Wang, et al.
Dentomaxillofacial Radiology (2021) Vol. 51, Iss. 3
Open Access | Times Cited: 27
An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network
Xuezheng Jiang, Junyi Wang, Qinggang Meng, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 11141-11159
Closed Access | Times Cited: 11
Explainable artificial intelligence-based prediction of poor neurological outcome from head computed tomography in the immediate post-resuscitation phase
Yasuyuki Kawai, Yohei Kogeichi, Koji Yamamoto, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Lung Diseases Diagnosis-Based Deep Learning Methods: A Review
Shahad Ahmed Salih, Sadik Kamel Gharghan, Jinan F. Mahdi, et al.
Journal of Techniques (2023) Vol. 5, Iss. 3, pp. 158-173
Open Access | Times Cited: 11
A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models
Lijuan Cui, Dengao Li, Xiaofeng Yang, et al.
IEEE Access (2024) Vol. 12, pp. 27368-27384
Open Access | Times Cited: 4
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