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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:

Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study
Yuming Jiang, Xiaokun Liang, Zhen Han, et al.
The Lancet Digital Health (2021) Vol. 3, Iss. 6, pp. e371-e382
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
R. Vanguri, Jia Luo, Andrew Aukerman, et al.
Nature Cancer (2022) Vol. 3, Iss. 10, pp. 1151-1164
Open Access | Times Cited: 190
Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study
Yuming Jiang, Zhicheng Zhang, Qingyu Yuan, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 5, pp. e340-e350
Closed Access | Times Cited: 96
Digital health competencies in medical school education: a scoping review and Delphi method study
Mark P. Khurana, Daniel Emil Tadeusz Raaschou-Pedersen, Jørgen A. L. Kurtzhals, et al.
BMC Medical Education (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 88
Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology
Zhe Wang, Yang Liu, Xing Niu
Seminars in Cancer Biology (2023) Vol. 93, pp. 83-96
Closed Access | Times Cited: 45
Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics
Yuming Jiang, Kangneng Zhou, Zepang Sun, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 8, pp. 101146-101146
Open Access | Times Cited: 43
Radiological tumour classification across imaging modality and histology
Jia Wu, Chao Li, Michael F. Gensheimer, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 9, pp. 787-798
Open Access | Times Cited: 66
Biology-guided deep learning predicts prognosis and cancer immunotherapy response
Yuming Jiang, Zhicheng Zhang, Wei Wang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 38
Imaging in Gastric Cancer: Current Practice and Future Perspectives
Teresa Giandola, Cesare Maino, G. Marrapodi, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1276-1276
Open Access | Times Cited: 18
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution
Zhe Li, Yuming Jiang, Mengkang Lu, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 9, pp. 2678-2689
Closed Access | Times Cited: 18
Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?
Roger Sun, Théophraste Henry, Adrien Laville, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 7, pp. e004848-e004848
Open Access | Times Cited: 25
Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer
Jiawen Yao, Kai Cao, Yang Hou, et al.
Annals of Surgery (2022) Vol. 278, Iss. 1, pp. e68-e79
Closed Access | Times Cited: 23
Non-invasively Discriminating the Pathological Subtypes of Non-small Cell Lung Cancer with Pretreatment 18F-FDG PET/CT Using Deep Learning
Hongyue Zhao, Yexin Su, Zhehao Lyu, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 35-45
Closed Access | Times Cited: 13
Duodenal papilla radiomics-based prediction model for post-ERCP pancreatitis using machine learning: a retrospective multicohort study
Kangjie Chen, Haihao Lin, F K Zhang, et al.
Gastrointestinal Endoscopy (2024) Vol. 100, Iss. 4, pp. 691-702.e9
Closed Access | Times Cited: 4
A CT-based multitask deep learning model for predicting tumor stroma ratio and treatment outcomes in patients with colorectal cancer: a multicenter cohort study
Yanfen Cui, Ke Zhao, Xiaochun Meng, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 3
Noninvasive imaging evaluation of peritoneal recurrence and chemotherapy benefit in gastric cancer after gastrectomy：a multicenter study
Zepang Sun, Wei Wang, Weicai Huang, et al.
International Journal of Surgery (2023) Vol. Publish Ahead of Print
Open Access | Times Cited: 7
A nomogram for predicting postoperative complications based on tumor spectral CT parameters and visceral fat area in gastric cancer patients
Xiao-Ying Tan, Yang Xiao, Shudong Hu, et al.
European Journal of Radiology (2023) Vol. 167, pp. 111072-111072
Closed Access | Times Cited: 7
Tumor Microenvironment Evaluation for Gastrointestinal Cancer in the Era of Immunotherapy and Machine Learning
Zilan Ye, Dongqiang Zeng, Rui Zhou, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 12
Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study
Heng Zhang, Wenjun Li, Tao Chen, et al.
EClinicalMedicine (2024) Vol. 78, pp. 102940-102940
Open Access | Times Cited: 2
Accurate Prediction of Metachronous Liver Metastasis in Stage I-III Colorectal Cancer Patients Using Deep Learning With Digital Pathological Images
Chanchan Xiao, Meihua Zhou, Xihua Yang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
Association of collagen deep learning classifier with prognosis and chemotherapy benefits in stage II‐III colon cancer
Wei Jiang, Huaiming Wang, Wei‐Sheng Chen, et al.
Bioengineering & Translational Medicine (2023) Vol. 8, Iss. 3
Open Access | Times Cited: 6
Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning
Xi Wang, Yuming Jiang, Hao Chen, et al.
Radiotherapy and Oncology (2023) Vol. 186, pp. 109793-109793
Open Access | Times Cited: 6
CT-based radiomic nomogram for preoperative prediction of DNA mismatch repair deficiency in gastric cancer
Qingwen Zeng, Yanyan Zhu, Leyan Li, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9
Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study
Rui Yin, Yijun Guo, Yanyan Wang, et al.
Academic Radiology (2023) Vol. 30, pp. S192-S201
Closed Access | Times Cited: 5
Radiogenomic analysis of cellular tumor-stroma heterogeneity as a prognostic predictor in breast cancer
Ming Fan, Kailang Wang, Zhang You, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 4
Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes
Darshan Gandhi, Tushar Garg, Love Patel, et al.
Clinical Imaging (2022) Vol. 87, pp. 43-53
Closed Access | Times Cited: 5
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