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:
Prospective clinical research of radiomics and deep learning in oncology: A translational review
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Critical Reviews in Oncology/Hematology (2022) Vol. 179, pp. 103823-103823
Closed Access | Times Cited: 13
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Critical Reviews in Oncology/Hematology (2022) Vol. 179, pp. 103823-103823
Closed Access | Times Cited: 13
Showing 13 citing articles:
The widening gap between radiomics research and clinical translation: rethinking current practices and shared responsibilities
Burak Koçak, Daniel Pinto dos Santos, Matthias Dietzel
(2025), pp. 100004-100004
Open Access | Times Cited: 3
Burak Koçak, Daniel Pinto dos Santos, Matthias Dietzel
(2025), pp. 100004-100004
Open Access | Times Cited: 3
Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Radiomics under 2D regions, 3D regions, and peritumoral regions reveal tumor heterogeneity in non-small cell lung cancer: a multicenter study
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
La radiologia medica (2023) Vol. 128, Iss. 9, pp. 1079-1092
Closed Access | Times Cited: 16
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
La radiologia medica (2023) Vol. 128, Iss. 9, pp. 1079-1092
Closed Access | Times Cited: 16
Non-invasive decision support for clinical treatment of non-small cell lung cancer using a multiscale radiomics approach
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Radiotherapy and Oncology (2024) Vol. 191, pp. 110082-110082
Closed Access | Times Cited: 5
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Radiotherapy and Oncology (2024) Vol. 191, pp. 110082-110082
Closed Access | Times Cited: 5
Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach
Xingping Zhang, Xingting Qiu, Yue Zhang, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Xingping Zhang, Xingting Qiu, Yue Zhang, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Development and interpretation of a multimodal predictive model for prognosis of gastrointestinal stromal tumor
XianHao Xiao, Xu Han, YeFei Sun, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 3
XianHao Xiao, Xu Han, YeFei Sun, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 3
A multimodal radiomic machine learning approach to predict the LCK expression and clinical prognosis in high-grade serous ovarian cancer
Feng Zhan, Lidan He, Yuanlin Yu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Feng Zhan, Lidan He, Yuanlin Yu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning
Shidong Wang, Yangyang Shen, Fanwei Zeng, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Shidong Wang, Yangyang Shen, Fanwei Zeng, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Pretreatment radiomics power in evaluating neoadjuvant chemotherapy response and outcome for patients with head and neck squamous cell carcinoma: a systematic review and meta-analysis
Yalian Yu, Xinyao Li, Wei Li, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Yalian Yu, Xinyao Li, Wei Li, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Lecture notes in computer science (2023), pp. 309-320
Closed Access | Times Cited: 1
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Lecture notes in computer science (2023), pp. 309-320
Closed Access | Times Cited: 1
Pretreatment radiomics power in evaluating neoadjuvant chemotherapy response and outcome for patients with head and neck squamous cell carcinoma: a systematic review and meta-analysis
Yalian Yu, Xinyao Li, Hongbo Wang, et al.
Research Square (Research Square) (2023)
Open Access
Yalian Yu, Xinyao Li, Hongbo Wang, et al.
Research Square (Research Square) (2023)
Open Access
Functional imaging: translation of radiomics and artificial intelligence into clinical practice
Victor Saase, David Bonekamp
Deleted Journal (2023) Vol. 29, Iss. 12, pp. 1052-1059
Closed Access
Victor Saase, David Bonekamp
Deleted Journal (2023) Vol. 29, Iss. 12, pp. 1052-1059
Closed Access
A systematic review of radiomics for predicting treatment response and survival in locally advanced cervical cancer: positive results or optimistic illusions?
Lizhao Huang, Lu Li, Xiaoqi Huang, et al.
Clinical and Translational Imaging (2023) Vol. 12, Iss. 3, pp. 263-285
Closed Access
Lizhao Huang, Lu Li, Xiaoqi Huang, et al.
Clinical and Translational Imaging (2023) Vol. 12, Iss. 3, pp. 263-285
Closed Access
