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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:

Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis
Wei Jiang, Yipeng Song, Zhe Sun, et al.
International Journal of Radiation Oncology*Biology*Physics (2021) Vol. 110, Iss. 4, pp. 1161-1170
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent Chemoradiotherapy
Saikit Lam, Yuanpeng Zhang, Jiang Zhang, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 43
Radiomics and dosiomics approaches to estimate lung function after stereotactic body radiation therapy in patients with lung tumors
Yoshiro Ieko, Noriyuki Kadoya, Shohei Tanaka, et al.
Radiological Physics and Technology (2025)
Closed Access | Times Cited: 1
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
Promising Biomarkers of Radiation-Induced Lung Injury: A Review
Xinglong Liu, Chunlin Shao, Jiamei Fu
Biomedicines (2021) Vol. 9, Iss. 9, pp. 1181-1181
Open Access | Times Cited: 35
Machine Learning-Based Multiomics Prediction Model for Radiation Pneumonitis
Lu Zhou, Yue‐Feng Wen, Guoqian Zhang, et al.
Journal of Oncology (2023) Vol. 2023, pp. 1-9
Open Access | Times Cited: 13
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
Distinguishing immune checkpoint inhibitor-related pneumonitis from radiation pneumonitis by CT radiomics features in non-small cell lung cancer
Min Wang, Minghuan Li, Mingsheng Zhao, et al.
International Immunopharmacology (2024) Vol. 128, pp. 111489-111489
Open Access | Times Cited: 5
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
Radiomics-guided radiation therapy: opportunities and challenges
Hamid Abdollahi, Erika Chin, Haley Clark, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 12, pp. 12TR02-12TR02
Open Access | Times Cited: 20
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
Improvement of Prediction Performance for Radiation Pneumonitis by Using 3-Dimensional Dosiomic Features
Aihui Feng, Ying Huang, Ya Zeng, et al.
Clinical Lung Cancer (2024) Vol. 25, Iss. 4, pp. e173-e180.e2
Open Access | Times Cited: 4
A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients
Yana Qi, Yanran Hu, Lin Cai, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Uptake of luminescent colloidal Ag–In–S nanoprobes by BC cells differing in metastasis propensity
Elizaveta Kontareva, Elizaveta Pershikova, А. Э. Сизиков, et al.
Journal of Photochemistry and Photobiology A Chemistry (2025), pp. 116359-116359
Open Access
A Systematic Review of Pneumonitis Following Treatment with Immune Checkpoint Inhibitors and Radiotherapy
Melina Yerolatsite, Nanteznta Torounidou, Anna-Lea Amylidi, et al.
Biomedicines (2025) Vol. 13, Iss. 4, pp. 946-946
Open Access
Dual-radiomics based on SHapley additive explanations for predicting hematologic toxicity in concurrent chemoradiotherapy patients
Luqiao Chen, Zhipeng He, Qianxi Ni, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients
Bing Li, Ge Ren, Wei Guo, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 16
Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients
Bing Li, Xiaoli Zheng, Jiang Zhang, et al.
Cancers (2022) Vol. 14, Iss. 19, pp. 4889-4889
Open Access | Times Cited: 16
Characterisation of quantitative imaging biomarkers for inflammatory and fibrotic radiation-induced lung injuries using preclinical radiomics
Kathryn H. Brown, Mihaela Ghita, B. Kerr, et al.
Radiotherapy and Oncology (2024) Vol. 192, pp. 110106-110106
Open Access | Times Cited: 3
Enhancing the prediction of symptomatic radiation pneumonitis for locally advanced non-small-cell lung cancer by combining 3D deep learning-derived imaging features with dose–volume metrics: a two-center study
Yan Kong, Mingming Su, Yan Zhu, et al.
Strahlentherapie und Onkologie (2024)
Closed Access | Times Cited: 3
Identification and validation of radiomic features from computed tomography for preoperative classification of neuroblastic tumors in children
Lian Zhao, Liting Shi, Shungen Huang, et al.
BMC Pediatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Integration of dosimetric parameters, clinical factors, and radiomics to predict symptomatic radiation pneumonitis in lung cancer patients undergoing combined immunotherapy and radiotherapy
Tingting Nie, Zien Chen, Jun Cai, et al.
Radiotherapy and Oncology (2023) Vol. 190, pp. 110047-110047
Closed 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
Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis
Bin Liang, Xiaotong Lu, Liu Li-pin, et al.
Radiotherapy and Oncology (2024) Vol. 196, pp. 110261-110261
Closed Access | Times Cited: 2
Multiomics-Based Outcome Prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR)
Haozhao Zhang, Michael Dohopolski, Strahinja Stojadinović, et al.
Cancers (2024) Vol. 16, Iss. 19, pp. 3425-3425
Open Access | Times Cited: 2
Pseudo-siamese network combined with dosimetric and clinical factors, radiomics features, CT images and 3D dose distribution for the prediction of radiation pneumonitis: A feasibility study
Bin Feng, Wei Zhou, Xin Yang, et al.
Clinical and Translational Radiation Oncology (2022) Vol. 38, pp. 188-194
Open Access | Times Cited: 9
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