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:

Support vector machine (SVM) based liver classification: fibrosis, steatosis, and inflammation
Jihye Baek, Terri A. Swanson, Theresa Tuthill, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2020), pp. 1-4
Closed Access | Times Cited: 11

Showing 11 citing articles:

Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier
Ghazanfar Latif, Ghassen Ben Brahim, D. N. F. Awang Iskandar, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 1018-1018
Open Access | Times Cited: 74

A Staging Auxiliary Diagnosis Model for Nonsmall Cell Lung Cancer Based on the Intelligent Medical System
Jia Wu, Fangfang Gou, Yanlin Tan
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 37

Disease-Specific Imaging Utilizing Support Vector Machine Classification of H-Scan Parameters: Assessment of Steatosis in a Rat Model
Jihye Baek, Lokesh Basavarajappa, Kenneth Hoyt, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2021) Vol. 69, Iss. 2, pp. 720-731
Open Access | Times Cited: 23

H‐scan trajectories indicate the progression of specific diseases
Jihye Baek, Kevin J. Parker
Medical Physics (2021) Vol. 48, Iss. 9, pp. 5047-5058
Open Access | Times Cited: 13

Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning
Jihye Baek, Avice M. O’Connell, Kevin J. Parker
Machine Learning Science and Technology (2022) Vol. 3, Iss. 4, pp. 045013-045013
Open Access | Times Cited: 9

Disease-specific imaging with H-scan trajectories and support vector machine to visualize the progression of liver diseases
Jihye Baek, Kevin J. Parker
2017 IEEE International Ultrasonics Symposium (IUS) (2021), pp. 1-4
Closed Access | Times Cited: 7

H-scan imaging and quantitative measurement to distinguish melanoma metastasis
Jihye Baek, Shuyang Qin, Peter A. Prieto, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2021), pp. 1-4
Closed Access | Times Cited: 5

Disease specific imaging utilizing support vector machine: assessment of steatosis
Jihye Baek, Lokesh Basavarajappa, Kenneth Hoyt, et al.
2017 IEEE International Ultrasonics Symposium (IUS) (2023), pp. 1-4
Closed Access | Times Cited: 1

H-Scan Discrimination for Tumor Microenvironmental Heterogeneity in Melanoma
Jihye Baek, Shuyang Qin, Peter A. Prieto, et al.
Ultrasound in Medicine & Biology (2023) Vol. 50, Iss. 2, pp. 268-276
Open Access | Times Cited: 1

Breast lesion detection and visualization utilizing artificial intelligence and the H-scan
Jihye Baek, Avice M. O’Connell, Kevin J. Parker
2017 IEEE International Ultrasonics Symposium (IUS) (2022), pp. 1-4
Closed Access | Times Cited: 1

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