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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:

Radiomics in precision medicine for gastric cancer: opportunities and challenges
Qiuying Chen, Lu Zhang, Shuyi Liu, et al.
European Radiology (2022) Vol. 32, Iss. 9, pp. 5852-5868
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Radiomics and Its Feature Selection: A Review
Wenchao Zhang, Yu Guo, Qiyu Jin
Symmetry (2023) Vol. 15, Iss. 10, pp. 1834-1834
Open Access | Times Cited: 43
Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers
Hui Shang, Tao Feng, Dong Han, et al.
Journal of Cancer Research and Clinical Oncology (2025) Vol. 151, Iss. 2
Open Access | Times Cited: 1
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
Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer
Yang Tan, Lijuan Feng, Ying-he Huang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Prediction of HER2 Expression in Gastric Adenocarcinoma Based On Preoperative Noninvasive Multimodal 18F-FDG PET/CT Imaging
Lilin Qin, Wujie Chen, Yuanxin Ye, et al.
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3200-3211
Closed Access | Times Cited: 6
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
Yasen Yimit, Parhat Yasin, Abudouresuli Tuersun, et al.
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3384-3396
Closed Access | Times Cited: 6
Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 351-351
Open Access | Times Cited: 13
Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1310-1332
Closed Access | Times Cited: 13
Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in Patients with Gastric and Esophageal Tumors
Daniel Vogele, Teresa Mueller, Daniel Wolf, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 198-198
Open Access | Times Cited: 5
Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival
Huaiqing Zhi, Yilan Xiang, Chenbin Chen, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Prediction of microsatellite-stable/epithelial-to-mesenchymal transition molecular subtype gastric cancer using CT radiomics and clinicopathologic factors
Chae Young Lim, Dong Ik, Woo Kyoung Jeong, et al.
European Journal of Radiology (2025) Vol. 185, pp. 111990-111990
Closed Access
Deep Learning-Assisted Diagnosis of Placenta Accreta Spectrum Using the DenseNet-121 Model: A Multicenter, Retrospective Study
Yurui Hu, Tianyu Liu, Shutong Pang, et al.
Deleted Journal (2025)
Closed Access
Radiomics-based assessment of HER2 status and prognosis in gastric cancer: a retrospective dual-center CT study
Manman Li, Shu Jiang, Siyu Zhou, et al.
Abdominal Radiology (2025)
Closed Access
Multi-modal predictive modeling in prostate cancer radiotherapy: A radiomics and dosiomics approach
Yueyang Yu, Dian Chen, Yuchun Zhu
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101518-101518
Closed Access
Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study
Beiwen Ni, Gan Huang, Honghui Huang, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 6, pp. 2280-2280
Open Access | Times Cited: 10
Deep learning-based clinical-radiomics nomogram for preoperative prediction of lymph node metastasis in patients with rectal cancer: a two-center study
Shiyu Ma, Haidi Lu, Guodong Jing, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 10
Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer
Haowen Yan, Gaoting Huang, Zhihe Yang, et al.
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 230-246
Open Access | Times Cited: 3
LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning
Wenli Wang, Rongrong Sheng, Shumei Liao, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 3
Role of radiomics in the diagnosis and treatment of gastrointestinal cancer
Qi Mao, Mao-Ting Zhou, Zhang-Ping Zhao, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 42, pp. 6002-6016
Open Access | Times Cited: 14
A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features
Yang Tan, Lijuan Feng, Ying-he Huang, et al.
Translational Oncology (2023) Vol. 40, pp. 101864-101864
Open Access | Times Cited: 8
Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study
Ying-Hao Xiang, Huan Mou, Bo Qu, et al.
World Journal of Gastrointestinal Surgery (2024) Vol. 16, Iss. 2, pp. 345-356
Open Access | Times Cited: 2
Trends and Hotspots in Global Radiomics Research: A Bibliometric Analysis
Minghui Zhang, Yan Wang, Mutian Lv, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 2
Machine learning models based on quantitative dynamic contrast-enhanced MRI parameters assess the expression levels of CD3+, CD4+, and CD8+ tumor-infiltrating lymphocytes in advanced gastric carcinoma
Huizhen Huang, Zhiheng Li, Dandan Wang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Risk Assessment and Cholangiocarcinoma: Diagnostic Management and Artificial Intelligence
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
Biology (2023) Vol. 12, Iss. 2, pp. 213-213
Open Access | Times Cited: 6
A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer
Yuanshen Zhao, Longsong Li, Ke Han, et al.
Abdominal Radiology (2023) Vol. 48, Iss. 11, pp. 3332-3342
Closed Access | Times Cited: 6
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