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 Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network
Yan Yan, Xujing Yao, Shuihua Wang, et al.
Biology (2021) Vol. 10, Iss. 11, pp. 1084-1084
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs
Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 39

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 | Times Cited: 1

VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
Wilson Bakasa, Serestina Viriri
Journal of Imaging (2023) Vol. 9, Iss. 7, pp. 138-138
Open Access | Times Cited: 24

A Series-Based Deep Learning Approach to Lung Nodule Image Classification
Mehmet Ali Balcı, Larissa M. Batrancea, Ömer Akgüller, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 843-843
Open Access | Times Cited: 19

DS-CNN: Dual-Stream Convolutional Neural Networks-Based Heart Sound Classification for Wearable Devices
Zhihuan Guo, Junxin Chen, Tongyue He, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 69, Iss. 4, pp. 1186-1194
Closed Access | Times Cited: 15

Memory-Guided Transformer with group attention for knee MRI diagnosis
Rui Huang, Zonghai Huang, Hao Zhou, et al.
Pattern Recognition (2025), pp. 111417-111417
Closed Access

Pseudo-labeling generative adversarial networks for medical image classification
Jiawei Mao, Xuesong Yin, Guodao Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105729-105729
Closed Access | Times Cited: 19

Improving intrusion detection in cloud-based healthcare using neural network
Sagarkumar K Patel
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104680-104680
Closed Access | Times Cited: 11

Medical Imaging and Image Processing
Yudong Zhang, Zhengchao Dong
Technologies (2023) Vol. 11, Iss. 2, pp. 54-54
Open Access | Times Cited: 11

Detection of COVID-19, pneumonia, and tuberculosis from radiographs using AI-driven knowledge distillation
Md. Mohsin Kabir, M. F. Mridha, Ashifur Rahman, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26801-e26801
Open Access | Times Cited: 3

Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study
Li Zhang, Hailin Li, Shaohong Zhao, et al.
Journal of the National Cancer Center (2024) Vol. 4, Iss. 3, pp. 233-240
Open Access | Times Cited: 3

Review on One-Stage Object Detection Based on Deep Learning
Hang Zhang, Rayan S Cloutier
ICST Transactions on e-Education and e-Learning (2022) Vol. 7, Iss. 23, pp. 174181-174181
Open Access | Times Cited: 18

Advances in Hyperspectral Image Classification Based on Convolutional Neural Networks: A Review
Somenath Bera, Vimal K. Shrivastava, Suresh Chandra Satapathy
Computer Modeling in Engineering & Sciences (2022) Vol. 133, Iss. 2, pp. 219-250
Open Access | Times Cited: 18

DeepRetention: A Deep Learning Approach for Intron Retention Detection
Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, et al.
Big Data Mining and Analytics (2023) Vol. 6, Iss. 2, pp. 115-126
Open Access | Times Cited: 8

A computer-aided diagnosis system for brain tumors based on artificial intelligence algorithms
Tao Chen, Lianting Hu, Quan Lu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7

Classification of orbital tumors using convolutional neural networks
E. K. Allam, Abdel-Badeeh M. Salem, Marco Alfonse
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 6025-6035
Open Access | Times Cited: 2

RNA-RBP interactions recognition using multi-label learning and feature attention allocation
Huirui Han, Bandeh Ali Talpur, Wei Liu, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 1

Applications of Image Segmentation Techniques in Medical Images
Yangyang Hou
ICST Transactions on e-Education and e-Learning (2024) Vol. 10
Open Access | Times Cited: 1

TCPNet: A Novel Tumor Contour Prediction Network Using MRIs
Shraddha Agarwal, Vinod K Kurmi, Abhirup Banerjee, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 183-188
Closed Access | Times Cited: 1

Detection and Segmentation of Meningioma Tumors Using the Proposed MENCNN Model
John Nisha Anita, Sujatha Kumaran
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 32, Iss. 2, pp. 1-13
Open Access | Times Cited: 3

Deep Learning Predicts EBV Status in Gastric Cancer Based on Spatial Patterns of Lymphocyte Infiltration
Baoyi Zhang, Kevin Yao, Min Xu, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6002-6002
Open Access | Times Cited: 8

Book Recommender System using Convolutional Neural Network
Amelisa Putri, Z. K. A. Baizal, Donni Rischasdy
(2022), pp. 1-6
Closed Access | Times Cited: 5

A Review of Convolutional Neural Network based Image Denoising Algorithms
Mengke Wang
ICST Transactions on e-Education and e-Learning (2023) Vol. 8, Iss. 3
Open Access | Times Cited: 2

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