OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Ultrasonic Texture Features for Assessing Cardiac Remodeling and Dysfunction
Quincy A. Hathaway, Naveena Yanamala, Nanda K. Siva, et al.
Journal of the American College of Cardiology (2022) Vol. 80, Iss. 23, pp. 2187-2201
Open Access | Times Cited: 23

Showing 23 citing articles:

AI and Echocardiography
Partho P. Sengupta, Y. Chandrashekhar
JACC. Cardiovascular imaging (2025) Vol. 18, Iss. 1, pp. 130-132
Closed Access | Times Cited: 1

Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence
Nobuyuki Kagiyama, Yukio Abe, Kenya Kusunose, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Breaking barriers: noninvasive AI model for BRAFV600E mutation identification
Fan Wu, Xiangfeng Lin, Yuying Chen, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Closed Access

Clinical Study of Post‐Chemotherapy Cardiotoxicity in Breast Cancer Patients Based on Ultrasound Radiomics
Caiyun Xia, Shutian Wu, Yuxin Zhong, et al.
Echocardiography (2025) Vol. 42, Iss. 4
Closed Access

Artificial Intelligence with Domain Knowledge Improves the Accuracy of Automated Strain Measurement
Kuan‐Chih Huang, Chang-En Lin, Ting‐Tse Lin, et al.
(2025)
Closed Access

Echocardiographic Tissue Characterization Using Radiomics in Patients With Transthyretin-Related Cardiac Amyloidosis
Sara Mori, Noemi Montobbio, Maria Pia Sormani, et al.
JACC Advances (2025) Vol. 4, Iss. 6, pp. 101755-101755
Closed Access

Prediction of heart failure and all-cause mortality using cardiac ultrasomics in patients with breast cancer
Quincy A. Hathaway, Yahya Abdeen, Justin Conte, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 6, pp. 1305-1317
Closed Access | Times Cited: 3

Advancing Myocardial Tissue Analysis Using Echocardiography
Partho P. Sengupta, Y. Chandrashekhar
JACC. Cardiovascular imaging (2024) Vol. 17, Iss. 2, pp. 228-231
Closed Access | Times Cited: 2

ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram?
Rima Arnaout
Journal of the American Society of Echocardiography (2023) Vol. 36, Iss. 10, pp. 1021-1026
Closed Access | Times Cited: 4

The Role of Artificial Intelligence in Echocardiography: A Clinical Update
Daniel Aziz, Kameswari Maganti, Naveena Yanamala, et al.
Current Cardiology Reports (2023) Vol. 25, Iss. 12, pp. 1897-1907
Closed Access | Times Cited: 4

Preeclampsia/eclampsia impacts the structure and function of neonatal hearts probably by reducing myocardial compaction
Zexin Li, Jinxiu Zhu, Yequn Chen, et al.
European Journal of Radiology (2024) Vol. 173, pp. 111382-111382
Closed Access | Times Cited: 1

Ultrasonic Texture Analysis for Acute Myocardial Infarction Risk Stratification: A Pilot Study
Quincy A. Hathaway, Ankush D. Jamthikar, Bernard R. Chaitman, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Cardiac Ultrasonic Tissue Characterization in Myocardial Infarction Based on Deep Transfer Learning and Radiomics Features
Ankush D. Jamthikar, Quincy A. Hathaway, Kameswari Maganti, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Cardiac ultrasomics for acute myocardial infarction risk stratification and prediction of all-cause mortality: a feasibility study
Quincy A. Hathaway, Ankush D. Jamthikar, Nivedita Rajiv, et al.
Echo Research and Practice (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Ultrasound-Based Radiomics for the Classification of Henoch-Schönlein Purpura Nephritis in Children
Jie Chen, Zeying Wen, Xiaoqing Yang, et al.
Ultrasonic Imaging (2023) Vol. 46, Iss. 2, pp. 110-120
Closed Access | Times Cited: 2

Pitfalls and Opportunities for the Growing Role of AI in Heart Failure
J. Grewal, Partho P. Sengupta
Journal of Cardiac Failure (2024) Vol. 30, Iss. 6, pp. 838-840
Closed Access

Prediction of Severe Obstructive Coronary Artery Disease Using Radiomic Features from Resting Cardiac Ultrasound Images: A Pilot Study
Daniel Aziz, Ankush D. Jamthikar, Abhijit Bhattaru, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Leveraging the power of radiomics to predict heart failure: new frontiers in cardio-oncology
Xiaowen Wang, Sheila M. Hegde
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 6, pp. 1161-1162
Open Access

Incremental predictive utility of a radiomics signature in a nomogram for the recurrence of atrial fibrillation
Dongyan Zheng, Yueli Zhang, Dong Huang, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 1

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics
Yin Chen, Weihan Xiao, Xiaomin Hu, et al.
Lupus (2023) Vol. 33, Iss. 2, pp. 121-128
Closed Access | Times Cited: 1

Assessment of Myocardial Texture
Thomas H. Marwick
Journal of the American College of Cardiology (2022) Vol. 80, Iss. 23, pp. 2202-2204
Open Access | Times Cited: 1

Editor-in-Chief’s Top Picks From 2022
Valentı́n Fuster
Journal of the American College of Cardiology (2023) Vol. 81, Iss. 8, pp. 780-841
Open Access

Page 1

Scroll to top