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:
A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma
Zhihe Yang, Yuqin Cai, Yirong Chen, et al.
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1946-1961
Open Access | Times Cited: 15
Zhihe Yang, Yuqin Cai, Yirong Chen, et al.
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1946-1961
Open Access | Times Cited: 15
Showing 15 citing articles:
A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma manifesting as subsolid or solid lesions: a double-center study
Zebin Yang, Hao Dong, Chunlong Fu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
Zebin Yang, Hao Dong, Chunlong Fu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
Whole-tumor radiomics analysis of T2-weighted imaging in differentiating neuroblastoma from ganglioneuroblastoma/ganglioneuroma in children: an exploratory study
Haoru Wang, Xin Chen, Wenqing Yu, et al.
Abdominal Radiology (2023) Vol. 48, Iss. 4, pp. 1372-1382
Closed Access | Times Cited: 11
Haoru Wang, Xin Chen, Wenqing Yu, et al.
Abdominal Radiology (2023) Vol. 48, Iss. 4, pp. 1372-1382
Closed Access | Times Cited: 11
Application and progress of non-invasive imaging in predicting lung invasive non-mucinous adenocarcinoma under the new IASLC grading guidelines
Jinbao Feng, Xiaonan Shao, Jianxiong Gao, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Jinbao Feng, Xiaonan Shao, Jianxiong Gao, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Prognostic and clinicopathological significance of the new grading system for invasive pulmonary adenocarcinoma: A systematic review and meta-analysis
Guo Wen, Huanrong Ruan, Miao Zhou, et al.
Annals of Diagnostic Pathology (2025) Vol. 77, pp. 152466-152466
Closed Access
Guo Wen, Huanrong Ruan, Miao Zhou, et al.
Annals of Diagnostic Pathology (2025) Vol. 77, pp. 152466-152466
Closed Access
Development of a PET-CT Based Radiomics Model for Preoperative Prediction of the Novel IASLC Grading and Prognosis in Patients with Clinical Stage I Pure Solid Invasive Lung Adenocarcinoma
Junping Lan, Haibo Wang, Enhui Xin, et al.
Academic Radiology (2025)
Closed Access
Junping Lan, Haibo Wang, Enhui Xin, et al.
Academic Radiology (2025)
Closed Access
Differentiating high-grade patterns and predominant subtypes for IASLC grading in invasive pulmonary adenocarcinoma using radiomics and clinical-semantic features
Sunyi Zheng, Jiaxin Liu, Jiping Xie, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Sunyi Zheng, Jiaxin Liu, Jiping Xie, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
A CNN–transformer fusion network for predicting high‐grade patterns in stage IA invasive lung adenocarcinoma
Yali Tao, Rong Sun, Jian Li, et al.
Medical Physics (2025)
Closed Access
Yali Tao, Rong Sun, Jian Li, et al.
Medical Physics (2025)
Closed Access
Potential role of hypobaric hypoxia environment in treating pan-cancer
Shixuan Zhang, Xiaoxi Hu, Mengzhen Sun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Shixuan Zhang, Xiaoxi Hu, Mengzhen Sun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Preoperative 18F-FDG PET/CT and CT radiomics for identifying aggressive histopathological subtypes in early stage lung adenocarcinoma
Wookjin Choi, Chia‐Ju Liu, Sadegh Alam, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 5601-5608
Open Access | Times Cited: 9
Wookjin Choi, Chia‐Ju Liu, Sadegh Alam, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 5601-5608
Open Access | Times Cited: 9
CT-based radiomics analysis for prediction of pathological subtypes of lung adenocarcinoma
Y. Shao, Xiaoming Wu, Bo Wang, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101174-101174
Open Access | Times Cited: 2
Y. Shao, Xiaoming Wu, Bo Wang, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101174-101174
Open Access | Times Cited: 2
Dual-Energy CT-based Radiomics for Predicting Pathological Grading of Invasive Lung Adenocarcinoma
Yuting Zheng, Hailiang Li, Kai Zhang, et al.
Clinical Radiology (2024) Vol. 79, Iss. 10, pp. e1226-e1234
Closed Access | Times Cited: 2
Yuting Zheng, Hailiang Li, Kai Zhang, et al.
Clinical Radiology (2024) Vol. 79, Iss. 10, pp. e1226-e1234
Closed Access | Times Cited: 2
Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules
Haitao Sun, Chunling Zhang, Aimei Ouyang, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Haitao Sun, Chunling Zhang, Aimei Ouyang, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 4
Prognostic Factors and Construction of Nomogram Prediction Model of Lung Cancer Patients Using Clinical and Blood Laboratory Parameters
Yamin Zhang, Wei Wan, Rui Shen, et al.
OncoTargets and Therapy (2024) Vol. Volume 17, pp. 131-144
Open Access | Times Cited: 1
Yamin Zhang, Wei Wan, Rui Shen, et al.
OncoTargets and Therapy (2024) Vol. Volume 17, pp. 131-144
Open Access | Times Cited: 1
Enhanced CT-Based Intratumoral and Peritumoral Radiomics Nomograms Predict High-Grade Patterns of Invasive Lung Adenocarcinoma
Jiaheng Xu, Ling Liu, Yang Ji, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Jiaheng Xu, Ling Liu, Yang Ji, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Radiomics Nomogram Based on Optimal Volume of Interest Derived from High-Resolution CT for Preoperative Prediction of IASLC Grading in Clinical IA Lung Adenocarcinomas: A Multi-Center, Large-Population Study
Zhichao Zuo, Guochao Zhang, Shanyue Lin, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access
Zhichao Zuo, Guochao Zhang, Shanyue Lin, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access
