Open Access Helper

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:

Deep Learning Methods in Medical Image-Based Hepatocellular Carcinoma Diagnosis: A Systematic Review and Meta-Analysis
Qiuxia Wei, Nengren Tan, Shiyu Xiong, et al.
Cancers (2023) Vol. 15, Iss. 23, pp. 5701-5701
Open Access | Times Cited: 13

Showing 13 citing articles:

Automated Ultrasonography of Hepatocellular Carcinoma using Discrete Wavelet Transform based Deep-learning Neural Network
Se-Yeol Rhyou, Jae-Chern Yoo
Medical Image Analysis (2025) Vol. 101, pp. 103453-103453
Closed Access | Times Cited: 1
Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging
Se-Yeol Rhyou, Ming Yu, Jae-Chern Yoo
Diagnostics (2025) Vol. 15, Iss. 5, pp. 588-588
Open Access | Times Cited: 1
Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation
Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, et al.
Jurnal Online Informatika (2024) Vol. 9, Iss. 1, pp. 70-79
Open Access | Times Cited: 5
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
Multiple machine learning algorithms identified SLC6A8 as a diagnostic biomarker of the late stage of Hepatocellular carcinoma
Linlin Song, Hongli Zhang, Yang Wang
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
R predicting lung cancer bone metastasis using CT and pathological imaging with a Swin Transformer model
Wanling Li, Xinhua Zou, Jie Zhang, et al.
Journal of bone oncology (2025) Vol. 52, pp. 100681-100681
Open Access
The potential of radiomics features in the detection of hepatocellular carcinoma (HCC) in 2D liver MRI images by using machine learning methods
Çağatay Neftali Tülü, Turgay İbrikçi
Signal Image and Video Processing (2025) Vol. 19, Iss. 7
Closed Access
Artificial intelligence techniques in liver cancer
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Automated diagnosis and classification of liver cancers using deep learning techniques: a systematic review
Sarthak Grover, Surbhi Gupta
Deleted Journal (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 2
Malignancy diagnosis of liver lesion in contrast enhanced ultrasound using an end-to-end method based on deep learning
Hongyu Zhou, Jianmin Ding, Yan Zhou, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
[Hepatocellular Carcinoma-Derived Exosomes: Key Players in Intercellular Communication Within the Tumor Microenvironment].
Feng Tang, Xinrui Yang, Qiwei Wang, et al.
PubMed (2024) Vol. 55, Iss. 1, pp. 6-12
Closed Access
State-of-the-art imaging of hepatocellular carcinoma
Shadi Afyouni, Ghazal Zandieh, Iman Yazdani Nia, et al.
Journal of Gastrointestinal Surgery (2024) Vol. 28, Iss. 10, pp. 1717-1725
Closed Access
A multi-criteria decision analysis framework for evaluating deep learning models in healthcare research
Nidal Drissi, Hadeel T. El Kassabi, Mohamed Adel Serhani
Decision Analytics Journal (2024) Vol. 13, pp. 100523-100523
Open Access
Page 1

Scroll to top