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:

An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis
Snehashis Chakraborty, Komal Kumar, Balakrishna Pailla Reddy, et al.
(2023), pp. 297-302
Closed Access | Times Cited: 8

Showing 8 citing articles:

A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 15

Explainable artificial intelligence to increase transparency for revolutionizing healthcare ecosystem and the road ahead
Sudipta Roy, Debojyoti Pal, Tanushree Meena
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 18

Multiple thoracic diseases detection from X-rays using CX-Ultranet
Anwesh Kabiraj, Tanushree Meena, Pailla Balakrishna Reddy, et al.
Health and Technology (2024) Vol. 14, Iss. 2, pp. 291-303
Closed Access | Times Cited: 3

Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification
Snehashis Chakraborty, Komal Kumar, Kalyan Tadepalli, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57613-57641
Closed Access | Times Cited: 7

Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays
Komal Kumar, Snehashis Chakraborty, Kalyan Tadepalli, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2

An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality
Andria Nicolaou, Charithea Stylianides, Waqar A. Sulaiman, et al.
Studies in health technology and informatics (2024)
Open Access | Times Cited: 2

InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation
Ankan Deria, Komal Kumar, Snehashis Chakraborty, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 2028-2038
Closed Access

Cross-modal contrastive learning for predicting sepsis onset in Medical Internet of Things (MIoT)
Yuh‐Shyan Chen, W. Wang, Chen Hu, et al.
Internet of Things (2024), pp. 101456-101456
Open Access

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