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:

Classification of Nonalcoholic Fatty Liver Texture Using Convolution Neural Networks
D Santhosh Reddy, R Bharath, P. Rajalakshmi
(2018), pp. 1-5
Closed Access | Times Cited: 16

Showing 16 citing articles:

Machine learning based liver disease diagnosis: A systematic review
Rayyan Azam Khan, Yigang Luo, Fang‐Xiang Wu
Neurocomputing (2021) Vol. 468, pp. 492-509
Closed Access | Times Cited: 57

Liver disease classification from ultrasound using multi-scale CNN
Hui Che, Lloyd G. Brown, David J. Foran, et al.
International Journal of Computer Assisted Radiology and Surgery (2021) Vol. 16, Iss. 9, pp. 1537-1548
Closed Access | Times Cited: 45

Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks
Michał Byra, Aiguo Han, Andrew S. Boehringer, et al.
Journal of Ultrasound in Medicine (2021) Vol. 41, Iss. 1, pp. 175-184
Open Access | Times Cited: 33

Improving nonalcoholic fatty liver disease classification performance with latent diffusion models
Romain Hardy, Joe Klepich, Ryan Mitchell, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4

Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che, Sumana Ramanathan, David J. Foran, et al.
Lecture notes in computer science (2021), pp. 179-188
Closed Access | Times Cited: 5

Stage Wise Classification and Prediction of Non-Alcoholic Fatty Liver Disease using Hybrid Approach
A Prabagaran, M. Balamurugan, S. Kalavathi, et al.
(2024), pp. 599-604
Closed Access

Fatty Liver Disease Prediction Through Machine Learning
Siddharth Mathur, Priyansh Karodi, Ritesh Dhanare
(2024), pp. 366-371
Closed Access

Two-Stage CBR Based Healthcare Model to Diagnose Liver Disease
Seema Sharma, Deepti Mehrotra
International Journal of Computing and Digital Systems (2021) Vol. 10, Iss. 1, pp. 773-780
Open Access | Times Cited: 3

Transfer Learning based Classification of Plasmodium Falciparum Parasitic Blood Smear Images
Sai Dheeraj Gummadi, Anirban Ghosh, Yeswanth Vootla
(2022), pp. 1-5
Closed Access | Times Cited: 2

Bio-Inspired Network for Diagnosing Liver Steatosis in Ultrasound Images
Yuan Yao, Zhenguang Zhang, Bo Peng, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 768-768
Open Access

Improving Nonalcoholic Fatty Liver Disease Classification Performance With Latent Diffusion Models
Romain Hardy, Ryan Mitchell, Joe Klepich, et al.
Research Square (Research Square) (2023)
Open Access

CNN based framework for representative detection of liver images for CAD and tele-sonography applications
P. Rajalakshmi, D Santhosh Reddy, R Bharath
CSI Transactions on ICT (2019) Vol. 7, Iss. 2, pp. 131-135
Closed Access

Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che, Sumana Ramanathan, David J. Foran, et al.
(2021)
Closed Access

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