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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:

MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study
Haimei Chen, Xiao Zhang, Xiaohong Wang, et al.
European Radiology (2021) Vol. 31, Iss. 10, pp. 7913-7924
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Osteosarcoma MRI Image-Assisted Segmentation System Base on Guided Aggregated Bilateral Network
Yedong Shen, Fangfang Gou, Zhehao Dai
Mathematics (2022) Vol. 10, Iss. 7, pp. 1090-1090
Open Access | Times Cited: 42
Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Yichen Meng, Yue Yang, Miao Hu, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 75-87
Closed Access | Times Cited: 22
CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies
Salvatore Gitto, Renato Cuocolo, Merel Huisman, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram
Jingyu Zhong, Chengxiu Zhang, Yangfan Hu, et al.
European Radiology (2022) Vol. 32, Iss. 9, pp. 6196-6206
Closed Access | Times Cited: 33
Artificial Intelligence-based Radiomics in the Era of Immuno-oncology
Cyra Y. Kang, Samantha Duarte, Hye Sung Kim, et al.
The Oncologist (2022) Vol. 27, Iss. 6, pp. e471-e483
Open Access | Times Cited: 28
A Tumor MRI Image Segmentation Framework Based on Class-Correlation Pattern Aggregation in Medical Decision-Making System
Hui Wei, Baolong Lv, Feng Liu, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1187-1187
Open Access | Times Cited: 15
AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines
Douwe J. Spaanderman, Matthew Marzetti, Xinyi Wan, et al.
EBioMedicine (2025) Vol. 114, pp. 105642-105642
Closed Access
3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction
Salvatore Gitto, Valentina Corino, Alessio Annovazzi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 18
Computed tomography–based radiomics machine learning classifiers to differentiate type I and type II epithelial ovarian cancers
Jiao Jiao Li, Xubin Li, Juanwei Ma, et al.
European Radiology (2022) Vol. 33, Iss. 7, pp. 5193-5204
Closed Access | Times Cited: 18
Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma
Zhendong Luo, Jing Li, Yuting Liao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 17
Evaluation of response to neoadjuvant chemotherapy in osteosarcoma using dynamic contrast-enhanced MRI: development and external validation of a model
Gijsbert M. Kalisvaart, Thomas Van Den Berghe, Willem Grootjans, et al.
Skeletal Radiology (2023) Vol. 53, Iss. 2, pp. 319-328
Open Access | Times Cited: 9
Automated meniscus segmentation and tear detection of knee MRI with a 3D mask-RCNN
Yuanzhe Li, Yi Wang, Kaibin Fang, et al.
European journal of medical research (2022) Vol. 27, Iss. 1
Open Access | Times Cited: 14
Radiomics analysis of contrast-enhanced T1W MRI: predicting the recurrence of acute pancreatitis
Lingling Tang, Lin Ma, Yuying Chen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics
Jingyu Zhong, Yangfan Hu, Guangcheng Zhang, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Imaging Assessment of the Efficacy of Chemotherapy in Primary Malignant Bone Tumors: Recent Advances in Qualitative and Quantitative Magnetic Resonance Imaging and Radiomics
X. Liu, Zhiqing Duan, Shaobo Fang, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 1, pp. 7-31
Closed Access | Times Cited: 7
Magnetic Resonance Imaging Radiomics Predicts Histological Response to Neoadjuvant Chemotherapy in Localized High-grade Osteosarcoma of the Extremities
Yun Zhang, Lanlan Zhi, Jiao Li, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5100-5107
Closed Access | Times Cited: 2
T2-weighted MRI radiomics in high-grade intramedullary osteosarcoma: predictive accuracy in assessing histologic response to chemotherapy, overall survival, and disease-free survival
Lawrence M. White, Angela Atinga, Ali Naraghi, et al.
Skeletal Radiology (2022) Vol. 52, Iss. 3, pp. 553-564
Closed Access | Times Cited: 12
Magnetic Resonance Imaging Radiomics‐Based Nomogram From Primary Tumor for Pretreatment Prediction of Peripancreatic Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma: A Multicenter Study
Zhenshan Shi, Cheng-Le Ma, Xinming Huang, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 55, Iss. 3, pp. 823-839
Closed Access | Times Cited: 11
Clinical-radiomics models based on plain X-rays for prediction of lung metastasis in patients with osteosarcoma
Ping Yin, Junwen Zhong, Ying Liu, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
radMLBench: A dataset collection for benchmarking in radiomics
Aydın Demircioğlu
Computers in Biology and Medicine (2024) Vol. 182, pp. 109140-109140
Open Access | Times Cited: 2
Prediction of tumor response to neoadjuvant chemotherapy in high-grade osteosarcoma using clustering-based analysis of magnetic resonance imaging: an exploratory study
Giovanni Benvenuti, Simona Marzi, Antonello Vidiri, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 2
Advances in Musculoskeletal Imaging: Recent Developments and Predictions for the Future
Michael P. Recht, Lawrence M. White, Jan Fritz, et al.
Radiology (2023) Vol. 308, Iss. 2
Closed Access | Times Cited: 6
Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma
Fei Zheng, Ping Yin, Kewei Liang, et al.
Academic Radiology (2023) Vol. 31, Iss. 6, pp. 2444-2455
Closed Access | Times Cited: 6
Global field of view-based pixel-level recognition method for medical images
Keke He, Haojun Tang, Fangfang Gou, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 3, pp. 4009-4021
Closed Access | Times Cited: 5
Radiomics in Musculoskeletal Tumors
Daniel Brandenberger, Lawrence M. White
Seminars in Musculoskeletal Radiology (2024) Vol. 28, Iss. 01, pp. 049-061
Closed Access | Times Cited: 1
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