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 Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Chao Li, Haiyan Chen, Bicheng Zhang, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5134-5134
Open Access | Times Cited: 6
Chao Li, Haiyan Chen, Bicheng Zhang, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5134-5134
Open Access | Times Cited: 6
Showing 6 citing articles:
Magnetic resonance imaging‐based radiomics analysis for prediction of treatment response to neoadjuvant chemoradiotherapy and clinical outcome in patients with locally advanced rectal cancer: A large multicentric and validated study
Tingdan Hu, Jing Gong, Yiqun Sun, et al.
MedComm (2024) Vol. 5, Iss. 7
Open Access | Times Cited: 3
Tingdan Hu, Jing Gong, Yiqun Sun, et al.
MedComm (2024) Vol. 5, Iss. 7
Open Access | Times Cited: 3
Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
Characterization and proteomic analysis of plasma-derived small extracellular vesicles in locally advanced rectal cancer patients
Haiyan Chen, Yimin Fang, Siqi Dai, et al.
Cellular Oncology (2024) Vol. 47, Iss. 5, pp. 1995-2009
Closed Access | Times Cited: 2
Haiyan Chen, Yimin Fang, Siqi Dai, et al.
Cellular Oncology (2024) Vol. 47, Iss. 5, pp. 1995-2009
Closed Access | Times Cited: 2
Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review
Zhixian Bao, Jie Du, Ya Zheng, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Zhixian Bao, Jie Du, Ya Zheng, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
A joint physics and radiobiology DREAM team vision – Towards better response prediction models to advance radiotherapy
Conchita Vens, Peter van Luijk, R.I. Vogelius, et al.
Radiotherapy and Oncology (2024) Vol. 196, pp. 110277-110277
Open Access | Times Cited: 1
Conchita Vens, Peter van Luijk, R.I. Vogelius, et al.
Radiotherapy and Oncology (2024) Vol. 196, pp. 110277-110277
Open Access | Times Cited: 1
Characterization and proteomic analysis of plasma-derived small extracellular vesicles in locally advanced rectal cancer patients
Haiyan Chen, Yimin Fang, Siqi Dai, et al.
Research Square (Research Square) (2024)
Closed Access
Haiyan Chen, Yimin Fang, Siqi Dai, et al.
Research Square (Research Square) (2024)
Closed Access
