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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:

Contrast-enhanced computed tomography radiomics in predicting primary site response to neoadjuvant chemotherapy in high-risk neuroblastoma
Haoru Wang, Jinjie Qin, Xin Chen, et al.
Abdominal Radiology (2022)
Closed Access | Times Cited: 9

Showing 9 citing articles:

Predicting response of hepatoblastoma primary lesions to neoadjuvant chemotherapy through contrast-enhanced computed tomography radiomics
Yanlin Yang, Haoru Wang, Jiajun Si, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 5
Open Access | Times Cited: 4
The pitfalls of fixed-ratio data splitting in radiomics model performance evaluation
Haoru Wang
Abdominal Radiology (2025)
Closed 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
Open science practices need substantial improvement in prognostic model studies in oncology using machine learning
Gary S. Collins, Rebecca Whittle, Garrett S. Bullock, et al.
Journal of Clinical Epidemiology (2023) Vol. 165, pp. 111199-111199
Open 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
Application of Machine Learning and Deep EfficientNets in Distinguishing Neonatal Adrenal Hematomas From Neuroblastoma in Enhanced Computed Tomography Images
Lu Lu Xie, Ying Gong, Kui Ran Dong, et al.
World Journal of Oncology (2024) Vol. 15, Iss. 1, pp. 81-89
Open Access | Times Cited: 1
The relationship between contrast-enhanced computed tomography radiomics features and mitosis karyorrhexis index in neuroblastoma
Xin Chen, Haoru Wang, Yuwei Xia, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Identification of an Ultra-High-Risk Subgroup of Neuroblastoma Patients within the High-Risk Cohort Using a Computed Tomography-Based Radiomics Approach
Haoru Wang, Xin Chen, Ting Li, et al.
Academic Radiology (2023) Vol. 31, Iss. 4, pp. 1655-1665
Closed Access | Times Cited: 2
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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