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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:

Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images
Jing Lin, Yunjie Yu, Xianlong Zhang, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 1029-1037
Closed Access | Times Cited: 9

Showing 9 citing articles:

Hybrid Approach to Classifying Histological Subtypes of Non-small Cell Lung Cancer (NSCLC): Combining Radiomics and Deep Learning Features from CT Images
Geon Oh, Yongha Gi, Jeongshim Lee, et al.
Deleted Journal (2025)
Closed Access | Times Cited: 1
ELCT-YOLO: An Efficient One-Stage Model for Automatic Lung Tumor Detection Based on CT Images
Zhanlin Ji, Jianyong Zhao, Jinyun Liu, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2344-2344
Open Access | Times Cited: 21
Ultrasensitive photoelectrochemical detection of cancer markers based on heterojunctions constructed from Bi2O3 star-like flower nanoclusters and CdS hollow nanorods
Zimeng Wang, Jiawei Wang, Junfei Ou, et al.
Talanta (2025), pp. 127563-127563
Closed Access
The influence of image selection and segmentation on the extraction of lung cancer imaging radiomics features using 3D-Slicer software
Chunmei Liu, Yuzheng He, J M Luo
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Application of Chest CT Imaging Feature Model in Distinguishing Squamous Cell Carcinoma and Adenocarcinoma of the Lung
Chunmei Liu, Yuzheng He, J M Luo
Cancer Management and Research (2024) Vol. Volume 16, pp. 547-557
Open Access | Times Cited: 2
Pretreatment multiparametric MRI radiomics-integrated clinical hematological biomarkers can predict early rapid metastasis in patients with nasopharyngeal carcinoma
Xiujuan Cao, Xiaowen Wang, Jian Song, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Unlocking the predictive potential of long non-coding RNAs: a machine learning approach for precise cancer patient prognosis
Yixuan Mo, Joseph Adu‐Amankwaah, Wenjie Qin, et al.
Annals of Medicine (2023) Vol. 55, Iss. 2
Open Access | Times Cited: 5
Advancing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach
Bingling Kuang, Jingxuan Zhang, Mingqi Zhang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Enhanced NSCLC subtyping and staging through attention-augmented multi-task deep learning: A novel diagnostic tool
Runhuang Yang, Wei‐Ming Li, Siqi Yu, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105694-105694
Closed Access
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