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:

CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A multicenter study
Jie Gong, Wencheng Zhang, Wei Huang, et al.
Radiotherapy and Oncology (2022) Vol. 174, pp. 8-15
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use
Natally Horvat, Nikolaos Papanikolaou, Dow‐Mu Koh
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 22
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 9
Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy
Jinfeng Cui, Li Li, Ning Liu, et al.
Biomarker Research (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 19
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
Yangchun Du, Yanju Xiao, Wenwen Guo, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Radiomics for clinical decision support in radiation oncology
Luca Russo, Diepriye Charles-Davies, Silvia Bottazzi, et al.
Clinical Oncology (2024) Vol. 36, Iss. 8, pp. e269-e281
Open Access | Times Cited: 6
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Yangchun Du, Wenwen Guo, Yanju Xiao, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal cancer: a systematic review and meta-analysis
Zhi Yang, Jie Gong, Jie Li, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 8, pp. 2451-2466
Open Access | Times Cited: 15
Prediction of pCR based on clinical-radiomic model in patients with locally advanced ESCC treated with neoadjuvant immunotherapy plus chemoradiotherapy
Xiaohan Wang, Guanzhong Gong, Qifeng Sun, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Tumor-Derived Exosomal miR-143-3p Induces Macrophage M2 Polarization to Cause Radiation Resistance in Locally Advanced Esophageal Squamous Cell Carcinoma
Lin‐rui Gao, Jiajun Zhang, Ning Huang, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 6082-6082
Open Access | Times Cited: 4
Multi-Centered Pre-Treatment CT-Based Radiomics Features to Predict Locoregional Recurrence of Locally Advanced Esophageal Cancer After Definitive Chemoradiotherapy
Nuo Yu, Xiaolin Ge, Lijing Zuo, et al.
Cancers (2025) Vol. 17, Iss. 1, pp. 126-126
Open Access
Development of a prognostic nomogram and risk stratification system for elderly patients with esophageal squamous cell carcinoma undergoing definitive radiotherapy: a multicenter retrospective analysis (3JECROG R-03 A)
Yuanji Xu, Chuyan Lin, Chun Han, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Tumor–lymph cross-plane projection reveals spatial relationship features: a ResNet-CBAM model for prognostic prediction in esophageal cancer
Jianxia Xu, Chen Huang, Qianshun Chen, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy
Nuo Yu, Yidong Wan, Lijing Zuo, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview
Pak Kin Wong, In Neng Chan, H. J. Yan, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 45, pp. 6363-6379
Open Access | Times Cited: 18
CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapy
Jinfeng Cui, Dexian Zhang, Yongsheng Gao, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open 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
Pairwise machine learning-based automatic diagnostic platform utilizing CT images and clinical information for predicting radiotherapy locoregional recurrence in elderly esophageal cancer patients
Andu Zhang, Qing-lei Shi, Hongtao Zhang, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 11, pp. 4151-4161
Open Access | Times Cited: 2
The role of spleen radiomics model for predicting prognosis in esophageal squamous cell carcinoma patients receiving definitive radiotherapy
Longxiang Guo, Ao Liu, Xiaotao Geng, et al.
Thoracic Cancer (2024) Vol. 15, Iss. 12, pp. 947-964
Open Access | Times Cited: 1
Development and validation of a model for predicting prolonged weaning from mechanical ventilation in patients with abdominal trauma
Fengchan Xi, Chuanrui Sun, Weiwei Ding, et al.
Surgery (2024) Vol. 176, Iss. 5, pp. 1507-1515
Closed Access | Times Cited: 1
A prognostic nomogram for T3N0M0 esophageal squamous cell carcinoma patients undergoing radical surgery based on computed tomography radiomics and inflammatory nutritional biomarkers
Hui Ma, Yangchen Liu, Hongxun Ye, et al.
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 11
Open Access | Times Cited: 1
Machine learning in image‐based outcome prediction after radiotherapy: A review
Xiaohan Yuan, Chaoqiong Ma, Mingzhe Hu, et al.
Journal of Applied Clinical Medical Physics (2024)
Open Access | Times Cited: 1
Development of a joint prediction model based on both the radiomics and clinical factors for preoperative prediction of circumferential resection margin in middle‐low rectal cancer using T2WI images
Yiheng Ju, Longbo Zheng, Qi Wei, et al.
Medical Physics (2023) Vol. 51, Iss. 4, pp. 2563-2577
Closed Access | Times Cited: 3
CT-based radiomics nomogram for overall survival prediction in patients with cervical cancer treated with concurrent chemoradiotherapy
Chao Xu, Wen Liu, Qi Zhao, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
Clinical-radiomics nomogram for the risk prediction of esophageal fistula in patients with esophageal squamous cell carcinoma treated with intensity-modulated radiation therapy or volumetric-modulated arc therapy
Zhaohui Li, Jie Gong, Shi Liu, et al.
Journal of Thoracic Disease (2024) Vol. 16, Iss. 3, pp. 2032-2048
Open Access
Multi-modal Radiomics Features to Predict Overall Survival of Locally Advanced Esophageal Cancer after Definitive Chemoradiotherapy
Nuo Yu, Yidong Wan, Lijing Zuo, et al.
Research Square (Research Square) (2024)
Open Access
Page 1 - Next Page

Scroll to top