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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:

Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology
Sung Hak Lee, Hyun‐Jong Jang
Clinical and Molecular Hepatology (2022) Vol. 28, Iss. 4, pp. 754-772
Open Access | Times Cited: 17

Showing 17 citing articles:

High-content microscopy reveals a morphological signature of bortezomib resistance
Megan E. Kelley, Adi Y. Berman, David R. Stirling, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 12
Deep learning-powered whole slide image analysis in cancer pathology
Chengxue Dang, Zhuang Qi, Tao Xu, et al.
Laboratory Investigation (2025), pp. 104186-104186
Closed Access
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Heather D. Couture
Journal of Personalized Medicine (2022) Vol. 12, Iss. 12, pp. 2022-2022
Open Access | Times Cited: 18
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Deep Learning-Based Classification of Uterine Cervical and Endometrial Cancer Subtypes from Whole-Slide Histopathology Images
Jae‐Yen Song, Soyoung Im, Sung Hak Lee, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2623-2623
Open Access | Times Cited: 16
Hepatic arterial infusion chemotherapy and immune checkpoint inhibitors, alone or in combination, in advanced hepatocellular carcinoma with macrovascular invasion: a single-centre experience in Taiwan
Juei-Seng Wu, Tzu‐Chun Hong, Hung‐Tsung Wu, et al.
Journal of Gastrointestinal Oncology (2023) Vol. 14, Iss. 2, pp. 849-862
Open Access | Times Cited: 8
Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer
Sung Hak Lee, Yujin Lee, Hyun‐Jong Jang
International Journal of Cancer (2022) Vol. 152, Iss. 2, pp. 298-307
Closed Access | Times Cited: 11
Development and validation of prognostic nomograms for large hepatocellular carcinoma after HAIC
Yao Wang, Ran Wei, Jia Jia, et al.
Therapeutic Advances in Medical Oncology (2023) Vol. 15
Open Access | Times Cited: 6
Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy
Abu Bakr Azam, Felicia Wee, Juha P. Väyrynen, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
Integrating transcriptomic data and digital pathology for NRG-based prediction of prognosis and therapy response in gastric cancer
Qiuyan Sun, Tan Li, Wei Zheng, et al.
Annals of Medicine (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 1
High-content microscopy reveals a morphological signature of bortezomib resistance
Megan E. Kelley, Adi Y. Berman, David R. Stirling, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
A Single Nucleotide Polymorphism rs1010816 Predicts Sorafenib Therapeutic Outcomes in Advanced Hepatocellular Carcinoma
Chih‐Lang Lin, Kung–Hao Liang, Ching‐Chih Hu, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 1681-1681
Open Access | Times Cited: 1
Association between Biomarkers (VEGF-R2, VEGF-R3, VCAM-1) and Treatment Duration in Patients with Neuroendocrine Tumors Receiving Therapy with First-Generation Somatostatin Analogues
Violetta Rosiek, Ksenia Janas, Beata Kos‐Kudła
Biomedicines (2023) Vol. 11, Iss. 3, pp. 842-842
Open Access | Times Cited: 1
Correspondence to editorial on “Multiomics profiling of buffy coat and plasma unveils etiology-specific signatures in hepatocellular carcinoma”
Su Bin Lim, Hyo Jung Cho
Clinical and Molecular Hepatology (2024) Vol. 30, Iss. 4, pp. 1009-1011
Open Access
MultiVarNet - Predicting Tumour Mutational Status at the Protein Level
Louis-Oscar Morel, Muhammad Muzammel, Nathan Vinçon, et al.
Lecture notes in computer science (2024), pp. 314-324
Closed Access
Development and validation of a prognostic nomogram including inflammatory indicators for overall survival in hepatocellular carcinoma patients treated primarily with surgery or loco-regional therapy: A single-center retrospective study
Xin Wang, Jing Xu, Zhenya Jia, et al.
Medicine (2024) Vol. 103, Iss. 50, pp. e40889-e40889
Open Access
Risk Stratification of Malignant Melanoma Using Neural Networks
Julian Burghoff, Leonhard Ackermann, Younes Salahdine, et al.
Lecture notes in computer science (2023), pp. 153-164
Closed Access
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