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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.

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Showing 16 citing articles:

Multi-omics to predict acute radiation esophagitis in patients with lung cancer treated with intensity-modulated radiation therapy
Xiaoli Zheng, Wei Guo, Yunhan Wang, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 26
Dosiomics and radiomics to predict pneumonitis after thoracic stereotactic body radiotherapy and immune checkpoint inhibition
Kim Melanie Kraus, Maksym Oreshko, Denise Bernhardt, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 17
A multiomics approach-based prediction of radiation pneumonia in lung cancer patients: impact on survival outcome
Lishui Niu, Xianjing Chu, Xianghui Yang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 11, pp. 8923-8934
Closed Access | Times Cited: 13
Radiomics-based hybrid model for predicting radiation pneumonitis: A systematic review and meta-analysis
Heesoon Sheen, Wonyoung Cho, Changhwan Kim, et al.
Physica Medica (2024) Vol. 123, pp. 103414-103414
Open Access | Times Cited: 5
Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy
Lok-Man Ho, Saikit Lam, Jiang Zhang, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1105-1105
Open Access | Times Cited: 12
CT-Based Radiomics Predicts the Malignancy of Pulmonary Nodules: A Systematic Review and Meta-Analysis
Lili Shi, Meihong Sheng, Zhichao Wei, et al.
Academic Radiology (2023) Vol. 30, Iss. 12, pp. 3064-3075
Closed Access | Times Cited: 11
Anatomy-wise lung ventilation imaging for precise functional lung avoidance radiation therapy
Zhi Chen, Zihan Li, Yuhua Huang, et al.
Physics in Medicine and Biology (2025) Vol. 70, Iss. 4, pp. 045019-045019
Closed Access
Radiation-induced lung injury: from mechanism to prognosis and drug therapy
Sheng Wang, Duo Xu, Lingyan Xiao, et al.
Radiation Oncology (2025) Vol. 20, Iss. 1
Open Access
Multi-omics and Multi-VOIs to predict esophageal fistula in esophageal cancer patients treated with radiotherapy
Wei Guo, Bing Li, Wencai Xu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 2
Open Access | Times Cited: 3
Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy
Yanjing Dong, Jiang Zhang, Saikit Lam, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2032-2032
Open Access | Times Cited: 7
Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation
Kim Melanie Kraus, Maksym Oreshko, Julia A. Schnabel, et al.
Lung Cancer (2024) Vol. 189, pp. 107507-107507
Open Access | Times Cited: 2
Multi-omics deep learning for radiation pneumonitis prediction in lung cancer patients underwent volumetric modulated arc therapy
Wanyu Su, Dezhi Cheng, Weihua Ni, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108295-108295
Closed Access | Times Cited: 2
Clinical, dosimetric and radiomics features predictive of lung toxicity after (chemo)radiotherapy
Cécile Evin, Léo Razakamanantsoa, François Gardavaud, et al.
Clinical Lung Cancer (2024)
Closed Access | Times Cited: 1
Development and validation of a lung biological equivalent dose-based multiregional radiomic model for predicting symptomatic radiation pneumonitis after SBRT in lung cancer patients
Yuxin Jiao, Aihui Feng, Shihong Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Dosiomics in the analysis of medical images and prospects for its use in clinical practice
V. А. Solodkiy, Nikolay V. Nudnov, Mikhail E. Ivannikov, et al.
Digital Diagnostics (2023) Vol. 4, Iss. 3, pp. 340-355
Open Access | Times Cited: 1
Multi-omics and Multi-VOIs to Predict Esophageal Fistula in Esophageal Cancer Patients Treated with Radiotherapy
Wei Guo, Bing Li, Wencai Xu, et al.
Research Square (Research Square) (2023)
Open Access
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