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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:

Development of unenhanced CT-based imaging signature for BAP1 mutation status prediction in malignant pleural mesothelioma: Consideration of 2D and 3D segmentation
Xiaojie Xie, Si‐Yun Liu, Jianyou Chen, et al.
Lung Cancer (2021) Vol. 157, pp. 30-39
Closed Access | Times Cited: 17

Showing 17 citing articles:

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 109
New Era for Malignant Pleural Mesothelioma: Updates on Therapeutic Options
Anne S. Tsao, Harvey I. Pass, Andreas Rimner, et al.
Journal of Clinical Oncology (2022) Vol. 40, Iss. 6, pp. 681-692
Open Access | Times Cited: 51
Radiomics under 2D regions, 3D regions, and peritumoral regions reveal tumor heterogeneity in non-small cell lung cancer: a multicenter study
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
La radiologia medica (2023) Vol. 128, Iss. 9, pp. 1079-1092
Closed Access | Times Cited: 16
The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study
Nian-jun Liu, Mao-sen Liu, Wei Tian, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Computed tomography–based radiomics machine learning classifiers to differentiate type I and type II epithelial ovarian cancers
Jiao Jiao Li, Xubin Li, Juanwei Ma, et al.
European Radiology (2022) Vol. 33, Iss. 7, pp. 5193-5204
Closed Access | Times Cited: 18
Development and validation of a combined nomogram for predicting perineural invasion status in rectal cancer via computed tomography-based radiomics
Jiaxuan Liu, Lingling Sun, Xiang Zhao, et al.
Journal of Cancer Research and Therapeutics (2023) Vol. 19, Iss. 6, pp. 1552-1559
Open Access | Times Cited: 8
Machine-learning-based contrast-enhanced computed tomography radiomic analysis for categorization of ovarian tumors
Jiao Jiao Li, Tianzhu Zhang, Juanwei Ma, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13
CT-based radiomics analysis for prediction of pathological subtypes of lung adenocarcinoma
Y. Shao, Xiaoming Wu, Bo Wang, et al.
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 4, pp. 101174-101174
Open Access | Times Cited: 2
Computed tomography-based radiomics nomogram for the preoperative prediction of perineural invasion in colorectal cancer: a multicentre study
Qiaoling Chen, Yanfen Cui, Ting Xue, et al.
Abdominal Radiology (2022) Vol. 47, Iss. 9, pp. 3251-3263
Closed Access | Times Cited: 12
Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status
Xiaoyang Liu, Mohamed Elbanan, Antonio Luna, et al.
American Journal of Roentgenology (2022) Vol. 219, Iss. 6, pp. 985-995
Open Access | Times Cited: 11
The use of radiomics on computed tomography scans for differentiation of somatic BAP1 mutation status for patients with pleural mesothelioma
Mena Shenouda, Abbas Shaikh, I. Deutsch, et al.
Medical Imaging 2018: Computer-Aided Diagnosis (2024) Vol. 16, pp. 113-113
Closed Access | Times Cited: 1
The value of computed tomography-based radiomics for predicting malignant pleural effusions
Zhen-Chuan Xing, Hua-Zheng Guo, Ziliang Hou, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)
Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
An overview on multimodal imaging for the diagnostic workup of pleural mesothelioma
Michela Gabelloni, Lorenzo Faggioni, Maria Chiara Brunese, et al.
Japanese Journal of Radiology (2023) Vol. 42, Iss. 1, pp. 16-27
Open Access | Times Cited: 3
Case report: Mesothelioma and BAP1 tumor predisposition syndrome: Implications for public health
Luigi Vimercati, Domenica Cavone, Francesco Fortarezza, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 4
Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma
Mena Shenouda, Abbas Shaikh, I. Deutsch, et al.
Journal of Medical Imaging (2024) Vol. 11, Iss. 06
Closed Access
Development and validation of a prediction model based on two-dimensional dose distribution maps fused with computed tomography images for noninvasive prediction of radiochemotherapy resistance in non-small cell lung cancer
Min Zhang, Ya Li, Yongxiang Hu, et al.
Translational Cancer Research (2023)
Open Access
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