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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:

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang
Computers in Biology and Medicine (2022) Vol. 151, pp. 106278-106278
Closed Access | Times Cited: 11

Showing 11 citing articles:

Knowledge-based dynamic prompt learning for multi-label disease diagnosis
Jing Xie, Xin Li, Ye Yuan, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111395-111395
Closed Access | Times Cited: 11
Multi-modal learning for inpatient length of stay prediction
Junde Chen, Yuxin Wen, Michael Pokojovy, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108121-108121
Closed Access | Times Cited: 7
A deep learning approach for inpatient length of stay and mortality prediction
Junde Chen, Di Qi, Jacqueline Vu, et al.
Journal of Biomedical Informatics (2023) Vol. 147, pp. 104526-104526
Closed Access | Times Cited: 7
Multimodal fusion network for ICU patient outcome prediction
Chutong Wang, Xuebing Yang, Mengxuan Sun, et al.
Neural Networks (2024) Vol. 180, pp. 106672-106672
Closed Access | Times Cited: 2
A hybrid neural network based model for blood donation forecasting
X. H. Ding, Xiao Zhang, Xiaofei Li, et al.
Journal of Biomedical Informatics (2023) Vol. 146, pp. 104488-104488
Open Access | Times Cited: 4
Client Recruitment for Federated Learning in ICU Length of Stay Prediction
Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, et al.
(2023), pp. 1-9
Open Access | Times Cited: 2
An efficient random forest algorithm-based telemonitoring framework to predict mortality and length of stay of patients in ICU
Md. Moddassir Alam
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 50581-50600
Closed Access | Times Cited: 2
Target Informed Client Recruitment for Efficient Federated Learning in Healthcare
Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, et al.
Research Square (Research Square) (2024)
Open Access
M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality
Junde Chen, Qing Li, Feng Liu, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109237-109237
Closed Access
An Explainable Artificial Intelligence Approach Using Graph Learning to Predict Intensive Care Unit Length of Stay
Tianjian Guo, Indranil R. Bardhan, Ying Ding, et al.
Information Systems Research (2024)
Closed Access
Target informed client recruitment for efficient federated learning in healthcare
Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
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