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:

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

Showing 16 citing articles:

Stage III Non-Small-Cell Lung Cancer: An Overview of Treatment Options
Francesco Petrella, Stefania Rizzo, Ilaria Attili, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 3160-3175
Open Access | Times Cited: 40

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

Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 9

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

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

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

Multi-omics fusion with soft labeling for enhanced prediction of distant metastasis in nasopharyngeal carcinoma patients after radiotherapy
Jiabao Sheng, Saikit Lam, Jiang Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107684-107684
Closed Access | Times Cited: 4

Incorporation of Functional Lung Imaging Into Radiation Therapy Planning in Patients With Lung Cancer: A Systematic Review and Meta-Analysis
Julie Midroni, Rohan Salunkhe, Zhihui Liu, et al.
International Journal of Radiation Oncology*Biology*Physics (2024) Vol. 120, Iss. 2, pp. 370-408
Open Access | Times Cited: 1

Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy
Chenyu Li, Ji Zhang, Boda Ning, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1

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

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

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