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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:

18F-FDG PET/CT-based radiomics nomogram could predict bone marrow involvement in pediatric neuroblastoma
Lijuan Feng, Xu Yang, Xia Lu, et al.
Insights into Imaging (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

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
Evaluating Bone Marrow Involvement in Pediatric Neuroblastoma: Traditional Methods and Emerging Technologies—A Systematic Review
Lavleen Singh, Venkateswaran K. Iyer, Piyush Ranjan, et al.
Pediatric and Developmental Pathology (2025)
Closed Access
Development and validation of a nomogram for predicting bone marrow involvement in lymphoma patients based on 18F-FDG PET radiomics and clinical factors
Denglu Lu, Xinyu Zhu, Xingyu Mu, et al.
Annals of Nuclear Medicine (2025)
Closed Access
Axial Skeleton Radiomics of 18F-FDG PET/CT: Impact on Event-Free Survival Prediction in High-Risk Pediatric Neuroblastoma
Lijuan Feng, Shuxin Zhang, Chaoran Wang, et al.
Academic Radiology (2023) Vol. 30, Iss. 11, pp. 2487-2496
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
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
Predicting event-free survival after induction of remission in high-risk pediatric neuroblastoma: combining 123I-MIBG SPECT-CT radiomics and clinical factors
Lijuan Feng, Xu Yang, Chao Wang, et al.
Pediatric Radiology (2024) Vol. 54, Iss. 5, pp. 805-819
Closed Access | Times Cited: 2
An Optimal Radiomics Nomogram Based on 18F-FDG PET/CT for Identifying Event-Free Survival in Pediatric Neuroblastoma
Lijuan Feng, Shuxin Zhang, Xia Lu, et al.
Academic Radiology (2023) Vol. 30, Iss. 10, pp. 2309-2320
Closed Access | Times Cited: 4
The Role of FDG- PET/CT in Detecting Bone Marrow Involvement in Childhood Solid Tumors
Esra Arslantaş, Ali Ayçiçek, Burcu Esen Akkaş, et al.
Nuklearmedizin - NuclearMedicine (2024) Vol. 63, Iss. 03, pp. 207-212
Closed Access | Times Cited: 1
Differentiation of early relapse and late relapse in intermediate- and high-risk neuroblastoma with an 18F-FDG PET/CT-based radiomics nomogram
Lijuan Feng, Xilan Yao, Xia Lu, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 3, pp. 888-899
Closed Access | Times Cited: 1
Association of Computed Tomography Radiomics Signature with Progression-free Survival in Neuroblastoma Patients
Haoru Wang, T Li, Mingxing Xie, et al.
Clinical Oncology (2023) Vol. 35, Iss. 11, pp. e639-e647
Closed Access | Times Cited: 3
18F-FDG PET/CT-Based Radiomics Nomogram for Prediction of Bone Marrow Involvement in Pediatric Neuroblastoma: A Two-Center Study
Lijuan Feng, Ziang Zhou, Jun Liu, et al.
Academic Radiology (2023) Vol. 31, Iss. 3, pp. 1111-1121
Closed Access | Times Cited: 3
Evaluation of the Value of <sup>18</sup>F-FDG PET/CT in the Diagnosis and Treatment of Neuroblastoma
恩 甘
Advances in Clinical Medicine (2024) Vol. 14, Iss. 04, pp. 1395-1401
Closed Access
Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features
Haoru Wang, Ling He, Xin Chen, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access
Bounds for Haralick features in synthetic images with sinusoidal gradients
Ana Oprisan, Sorinel A. Oprisan
Frontiers in Signal Processing (2023) Vol. 3
Open Access
Computed tomography-based radiomics to assess risk stratification in pediatric malignant peripheral neuroblastic tumors
Xiaoxia Wang, Xinrong Wang, Tingfan Wu, et al.
Medicine (2023) Vol. 102, Iss. 47, pp. e35690-e35690
Open Access
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