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:

Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Mohammed Yusuf Ansari, Marwa Qaraqe, Fatmeh Charafeddine, et al.
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102690-102690
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review
Mohammed Yusuf Ansari, Iffa Afsa Changaai Mangalote, Pramod Kumar Meher, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 3, pp. 2126-2149
Closed Access | Times Cited: 40

Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions
Mohammed Yusuf Ansari, Marwa Qaraqe, Raffaella Righetti, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 15

Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Mohammed Yaqoob Ansari, Mohammed Ishaq Mohammed, Mohammed Yusuf Ansari, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 1

Glo-net: A dual task branch based neural network for multi-class glomeruli segmentation
Xiangxue Wang, Jingkai Zhang, Yuemei Xu, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109670-109670
Closed Access

Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study
Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

Utilizing machine learning for predicting drug release from polymeric drug delivery systems
Sareh Aghajanpour, Hamid Amiriara, Mehdi Esfandyari‐Manesh, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109756-109756
Open Access

Age estimation for disorder characterization from pediatric polysomnograms
Sven Festag, Sebastian Herberger, Cord Spreckelsen, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107701-107701
Open Access

Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings
Adiraju Karthik, Kamal Aggarwal, Aakaar Kapoor, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

MicroCrystalNet: An Efficient Convolutional Neural Network for Microcrystal Classification using Scanning Electron Microscope Petrography
Mohammed Yaqoob, Mohammed Ishaq, Mohammed Yusuf Ansari, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 3

Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach
Junjie Bin, Mei‐Hwan Wu, Meiyun Huang, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Retinex theory-based nonlinear luminance enhancement and denoising for low-light endoscopic images
En Mou, Huiqian Wang, Xiaodong Chen, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

nnU-Net based segmentation and 3D reconstruction of uterine fibroids with MRI images for HIFU surgery planning
Ting Wang, Yingang Wen, Zhibiao Wang
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

MRI T2WI-based radiomics combined with KRAS gene mutation constructed models for predicting liver metastasis in rectal cancer
Jiaqi Ma, Xinsheng Nie, X H Kong, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Advanced ECG Heart Age: A Prognostic, Explainable Machine Learning Approach Applicable to Sinus and Non-Sinus Rhythms
Zaidon Al-Falahi, Todd T. Schlegel, Israel Palencia-Lamela, et al.
European Heart Journal - Digital Health (2024) Vol. 6, Iss. 1, pp. 45-54
Open Access | Times Cited: 1

Generation of virtual monoenergetic images at 40 keV of the upper abdomen and image quality evaluation based on generative adversarial networks
Hua Zhong, Qianwen Huang, Xiaoli Zheng, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
Mohammed Ishaq Ansari, Abubakr Mohammed, Mohammed Yaqoob Ansari, et al.
IEEE Access (2024) Vol. 12, pp. 132838-132855
Open Access | Times Cited: 1

Fractional differentiation based image enhancement for automatic detection of malignant melanoma
Basmah Yakoub Anber, Kamil Yurtkan
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Metal implant segmentation in CT images based on diffusion model
Kai Xie, Liugang Gao, Yutao Zhang, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access

Advanced ECG heart age estimation applicable to both sinus and non-sinus rhythm associates with cardiovascular risk, cardiovascular morbidity, and survival
Zaidon Al-Falahi, Todd T. Schlegel, Israel Lamela-Palencia, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels
Wei Hu, Shouyi Yang, Wei-Feng Guo, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access

Advancing Paleontology: A Survey on Deep Learning Methodologies in Fossil Image Analysis
Mohammed Yaqoob Ansari, Mohammed Ishaq Mohammed, M. Yusuf, et al.
Research Square (Research Square) (2024)
Open Access

An effective no-reference image quality index prediction with a hybrid Artificial Intelligence approach for denoised MRI images
Prianka Ramachandran Radhabai, Kavitha KVN, A. Shanmugam, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access

Page 1 - Next Page

Scroll to top