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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:

Radiogenomics of neuroblastoma in pediatric patients: CT-based radiomics signature in predicting MYCN amplification
Haoting Wu, Chenqing Wu, Hui Zheng, et al.
European Radiology (2020) Vol. 31, Iss. 5, pp. 3080-3089
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Jernej Završnik, Peter Kokol, Bojan Žlahtič, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 512-512
Open Access | Times Cited: 10
CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma
Xin Chen, Haoru Wang, Kai-Ping Huang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 44
MYCN Impact on High-Risk Neuroblastoma: From Diagnosis and Prognosis to Targeted Treatment
Damiano Bartolucci, Luca Montemurro, Salvatore Raieli, et al.
Cancers (2022) Vol. 14, Iss. 18, pp. 4421-4421
Open Access | Times Cited: 31
Radiomics in differential diagnosis of Wilms tumor and neuroblastoma with adrenal location in children
İlker Özgür Koska, H. Nursun Özcan, Aziz Anıl Tan, et al.
European Radiology (2024) Vol. 34, Iss. 8, pp. 5016-5027
Open Access | Times Cited: 6
Imaging in neuroblastoma
Annemieke S. Littooij, Bart de Keizer
Pediatric Radiology (2022) Vol. 53, Iss. 4, pp. 783-787
Open Access | Times Cited: 19
Risk stratification in neuroblastoma patients through machine learning in the multicenter PRIMAGE cohort
Jose Lozano-Montoya, Ana Jiménez-Pastor, Almudena Fuster-Matanzo, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Development and validation of a CT‐based radiomics signature for identifying high‐risk neuroblastomas under the revised Children's Oncology Group classification system
Haoru Wang, Mingye Xie, Xin Chen, et al.
Pediatric Blood & Cancer (2023) Vol. 70, Iss. 5
Closed Access | Times Cited: 10
A narrative review of radiomics and deep learning advances in neuroblastoma: updates and challenges
Haoru Wang, Xin Chen, Ling He
Pediatric Radiology (2023) Vol. 53, Iss. 13, pp. 2742-2755
Closed Access | Times Cited: 9
Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Jernej Završnik, Peter Kokol, Bojan Žlahtič, et al.
(2024)
Open Access | Times Cited: 3
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
Yusheng Guo, Tianxiang Li, Bingxin Gong, et al.
Advanced Science (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 3
Preoperative prediction of clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomy
Ziying Lin, Bingjun Tang, Jinxiu Cai, et al.
European Journal of Radiology (2021) Vol. 139, pp. 109693-109693
Closed Access | Times Cited: 22
Radiogenomics prediction for MYCN amplification in neuroblastoma: A hypothesis generating study
Angela Di Giannatale, Pier Luigi Di Paolo, Davide Curione, et al.
Pediatric Blood & Cancer (2021) Vol. 68, Iss. 9
Open Access | Times Cited: 21
Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based 18F-FDG PET/CT Radiomics
Lijuan Feng, Luodan Qian, Yang Shen, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 262-262
Open Access | Times Cited: 15
CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma
Eelin Tan, Khurshid Merchant, Bhanu Prakash, et al.
Child s Nervous System (2022) Vol. 38, Iss. 8, pp. 1487-1495
Closed Access | Times Cited: 15
Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma
Haoru Wang, Mingye Xie, Xin Chen, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 8
A Deep Learning Radiomics Nomogram to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Cervical Cancer: A Two-Center Study
Yajiao Zhang, Chao Wu, Zhibo Xiao, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1073-1073
Open Access | Times Cited: 7
Development of unenhanced CT-based imaging signature for BAP1 mutation status prediction in malignant pleural mesothelioma: Consideration of 2D and 3D segmentation
Xiaojie Xie, Si‐Yun Liu, Jianyou Chen, et al.
Lung Cancer (2021) Vol. 157, pp. 30-39
Closed Access | Times Cited: 17
Role of MRI radiomics for the prediction of MYCN amplification in neuroblastomas
Adarsh Ghosh, Ensar Yekeler, Sara Reis Teixeira, et al.
European Radiology (2023) Vol. 33, Iss. 10, pp. 6726-6735
Closed Access | Times Cited: 6
The Diagnostic Value of 18F‐FDG PET/CT Bone Marrow Uptake Pattern in Detecting Bone Marrow Involvement in Pediatric Neuroblastoma Patients
Jun Liu, Cuicui Li, Xu Yang, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 9
MRI-Based Radiomics Analysis for Intraoperative Risk Assessment in Gravid Patients at High Risk with Placenta Accreta Spectrum
Caiting Chu, Ming Liu, Yuzhen Zhang, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 485-485
Open Access | Times Cited: 9
Prediction of MYCN Gene Amplification in Pediatric Neuroblastomas: Development of a Deep Learning–Based Tool for Automatic Tumor Segmentation and Comparative Analysis of Computed Tomography–Based Radiomics Features Harmonization
Ling Yun Yeow, Yu Xuan Teh, Xinyu Lu, et al.
Journal of Computer Assisted Tomography (2023) Vol. 47, Iss. 5, pp. 786-795
Closed Access | Times Cited: 5
Development of a novel tumor microenvironment-related radiogenomics model for prognosis prediction in hepatocellular carcinoma
Yaqi Wang, Bin Gao, Chunhua Xia, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 9, pp. 5803-5814
Open Access | Times Cited: 5
Improved risk stratification by PET-based intratumor heterogeneity in children with high-risk neuroblastoma
Chao Li, Shaoyan Wang, Can Li, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 8
Contrast computed tomography-based radiomics is correlation with COG risk stratification of neuroblastoma
Yimao Zhang, Yuhan Yang, Gang Ning, et al.
Abdominal Radiology (2023) Vol. 48, Iss. 6, pp. 2111-2121
Closed Access | Times Cited: 4
Prediction of High-Risk Neuroblastoma Among Neuroblastic Tumors Using Radiomics Features Derived from Magnetic Resonance Imaging: A Pilot Study
Jisoo Kim, Young Hun Choi, Haesung Yoon, et al.
Yonsei Medical Journal (2024) Vol. 65, Iss. 5, pp. 293-293
Open Access | Times Cited: 1
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