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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:

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis
Lihao Liu, Qi Dou, Hao Chen, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 3, pp. 718-728
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir A. Amini, Nenad Filipović, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 7, pp. 1837-1857
Open Access | Times Cited: 395
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
Kaiping Wang, Bo Zhan, Chen Zu, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102447-102447
Closed Access | Times Cited: 122
On the performance of lung nodule detection, segmentation and classification
Dongdong Gu, Guocai Liu, Zhong Xue
Computerized Medical Imaging and Graphics (2021) Vol. 89, pp. 101886-101886
Closed Access | Times Cited: 101
Multi-task deep learning for medical image computing and analysis: A review
Yan Zhao, Xiuying Wang, Tongtong Che, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106496-106496
Closed Access | Times Cited: 75
Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
Wu Quanyang, Yao Huang, Sicong Wang, et al.
Cancer Medicine (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 15
A review of explainable and interpretable AI with applications in COVID‐19 imaging
Jordan Fuhrman, Naveena Gorre, Qiyuan Hu, et al.
Medical Physics (2021) Vol. 49, Iss. 1, pp. 1-14
Open Access | Times Cited: 94
Reinventing 2D Convolutions for 3D Images
Jiancheng Yang, Xiaoyang Huang, Yi He, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 8, pp. 3009-3018
Open Access | Times Cited: 89
Deep learning applications for lung cancer diagnosis: A systematic review
Seyed Hesamoddin Hosseini, Reza Monsefi, Shabnam Shadroo
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 14305-14335
Open Access | Times Cited: 36
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information
Lei Li, Veronika A. Zimmer, Julia A. Schnabel, et al.
Medical Image Analysis (2021) Vol. 76, pp. 102303-102303
Open Access | Times Cited: 45
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning
Weihua Liu, Xiabi Liu, Huiyu Li, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 8, pp. 3073-3081
Closed Access | Times Cited: 41
An attention-enhanced cross-task network to analyse lung nodule attributes in CT images
Xiaohang Fu, Lei Bi, Ashnil Kumar, et al.
Pattern Recognition (2022) Vol. 126, pp. 108576-108576
Open Access | Times Cited: 33
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction
Zehui Liao, Yutong Xie, Shishuai Hu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 7, pp. 1874-1884
Open Access | Times Cited: 31
LEON: A New Framework for ML-Aided Query Optimization
Xu Chen, Haitian Chen, Zibo Liang, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 9, pp. 2261-2273
Closed Access | Times Cited: 18
Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning
Lijing Sun, Mengyi Zhang, Yu Lu, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108505-108505
Closed Access | Times Cited: 6
Histopathological Analysis Advancements in Deep Learning for the Diagnosis of Lung and Colon Cancer with Explanatory Power via Visual Saliency
Seema Kashyap, Arvind Kumar Shukla, Iram Naim
Communications in computer and information science (2025), pp. 148-158
Closed Access
An Attention-Based Deep Learning Model for Enhanced Pulmonary Nodule Diagnosis
Manju Dabass, Anuj Chandalia, Dwarikanath Mahapatra
Algorithms for intelligent systems (2025), pp. 491-502
Closed Access
A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans
Wenming Cao, Rui Wu, Guitao Cao, et al.
IEEE Access (2020) Vol. 8, pp. 154007-154023
Open Access | Times Cited: 45
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer
David Brenes, CJ Barberan, Brady Hunt, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 97, pp. 102052-102052
Open Access | Times Cited: 24
Lung Nodule Segmentation Algorithm With SMR-UNet
Jiachen Hou, Chuan Yan, Ru Li, et al.
IEEE Access (2023) Vol. 11, pp. 34319-34331
Open Access | Times Cited: 12
Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer
Chong Liu, Weiguang Wang, Jian Lian, et al.
Frontiers in Public Health (2025) Vol. 12
Open Access
A Robust Deep Learning Algorithm for Lung Cancer Detection from Computed Tomography Images
H. Abe, Mpumelelo Nyathi, Akintunde Akangbe Okunade, et al.
Intelligence-Based Medicine (2025), pp. 100203-100203
Open Access
Multi-Level Cross Residual Network for Lung Nodule Classification
Juan Lyu, Xiaojun Bi, Sai Ho Ling
Sensors (2020) Vol. 20, Iss. 10, pp. 2837-2837
Open Access | Times Cited: 38
Automatic Diabetic Retinopathy Grading via Self-Knowledge Distillation
Ling Luo, Dingyü Xue, Xinglong Feng
Electronics (2020) Vol. 9, Iss. 9, pp. 1337-1337
Open Access | Times Cited: 38
A Comparative Study of Radiomics and Deep-Learning Based Methods for Pulmonary Nodule Malignancy Prediction in Low Dose CT Images
Mehdi Astaraki, Guang Yang, Yousuf Zakko, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 29
A multi-task CNN approach for lung nodule malignancy classification and characterization
Sónia Marques, Filippo Schiavo, Carlos Ferreira, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115469-115469
Closed Access | Times Cited: 27
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