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:

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature
Zahra Khodabakhshi, Shayan Mostafaei, Hossein Arabi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104752-104752
Open Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

LungHist700: A dataset of histological images for deep learning in pulmonary pathology
Jorge Diosdado, Pere Gilabert, Santi Seguí, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

DETECT-LC: A 3D Deep Learning and Textural Radiomics Computational Model for Lung Cancer Staging and Tumor Phenotyping Based on Computed Tomography Volumes
Karma M. Fathalla, Sherin M. Youssef, Nourhan Mohammed
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6318-6318
Open Access | Times Cited: 8

Lung cancer treatment potential and limits associated with the STAT family of transcription factors
Paison Faida, Mawusse K.I. Attiogbe, Usman Majeed, et al.
Cellular Signalling (2023) Vol. 109, pp. 110797-110797
Closed Access | Times Cited: 4

Lung Cancer Subtyping: A Short Review
Farzana Siddique, Mohamed Shehata, Mohammed Ghazal, et al.
Cancers (2024) Vol. 16, Iss. 15, pp. 2643-2643
Open Access | Times Cited: 1

Inhalable nano-structured microparticles for extracellular matrix modulation as a potential delivery system for lung cancer
Salma M. Abdel-Hafez, Markus Gallei, Sylvia Wagner, et al.
European Journal of Pharmaceutics and Biopharmaceutics (2024), pp. 114512-114512
Open Access | Times Cited: 1

Evaluation of the role of EGFR exon 19 747–750 deletion mutation and plasma amino acid profile in the development of lung cancer
Tahia H. Saleem, Hussein Elkhayat, Ahmed Farouk, et al.
Molecular Biology Reports (2024) Vol. 51, Iss. 1
Closed Access | Times Cited: 1

lncRNAs’p potential roles in the pathogenesis of cancer via interacting with signaling pathways; special focus on lncRNA-mediated signaling dysregulation in lung cancer
Sulieman Ibrahim Shelash, Ibraheem Abdulnabi Shabeeb, Irfan Ahmad, et al.
Medical Oncology (2024) Vol. 41, Iss. 12
Closed Access | Times Cited: 1

Recent trends and therapeutic potential of phytoceutical‐based nanoparticle delivery systems in mitigating non‐small cell lung cancer
Adam Haysom‐McDowell, Keshav Raj Paudel, Stewart Yeung, et al.
Molecular Oncology (2024)
Open Access | Times Cited: 1

Radiomics and deep learning models to differentiate lung adenosquamous carcinoma: A multicenter trial
Xianjing Chu, Lishui Niu, Xianghui Yang, et al.
iScience (2023) Vol. 26, Iss. 9, pp. 107634-107634
Open Access | Times Cited: 3

Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature
Eleftherios Trivizakis, Nikoletta-Maria Koutroumpa, John Souglakos, et al.
BioMedical Engineering OnLine (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 3

High-Dimensional Multinomial Multiclass Severity Scoring of COVID-19 Pneumonia Using CT Radiomics Features and Machine Learning Algorithms
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5

PET Image Radiomics Feature Variability in Lung Cancer: Impact of Image Segmentation
Seyyed Ali Hosseini, Ghasem Hajianfar, Isaac Shiri, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021)
Closed Access | Times Cited: 6

LaCOme: Learning the latent convolutional patterns among transcriptomic features to improve classifications
Hongyu Wang, Zhaomin Yao, Renli Luo, et al.
Gene (2023) Vol. 862, pp. 147246-147246
Closed Access | Times Cited: 2

OPTIMIZED RADIOMICS-BASED MACHINE LEARNING APPROACH FOR LUNG CANCER SUBTYPE CLASSIFICATION
Chinnu Jacob, C. Gopakumar, Fathima Nazarudeen
Biomedical Engineering Applications Basis and Communications (2023) Vol. 35, Iss. 05
Closed Access | Times Cited: 2

Incremental benefits of size-zone matrix-based radiomics features for the prognosis of lung adenocarcinoma: advantage of spatial partitioning on tumor evaluation
Eun‐Jin Kim, Geewon Lee, Seung-Hak Lee, et al.
European Radiology (2022) Vol. 32, Iss. 11, pp. 7691-7699
Closed Access | Times Cited: 4

A powerful Transfer learning technique for multiclass classification of lung cancer CT images
Ananya Bhattacharjee, K. Shankar, R. Murugan, et al.
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2022)
Closed Access | Times Cited: 4

Survival Prognostic Modeling Using PET/CT Image Radiomics: The Quest for Optimal Approaches
Mehdi Amini, Ghasem Hajianfar, Mehdi Nazari, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 4

Robust versus Non-Robust Radiomic features: Machine Learning Based Models for NSCLC Lymphovascular Invasion
Seyyed Ali Hosseini, Ghasem Hajianfar, Elahe Hosseini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 3

Lung Tumor Classification using Hybrid Deep Learning and Segmentation by Fuzzy C Means
T S Chandrakantha, Basavaraj N Jagadale, Omar Abdullah Murshed Farhan Alnaggar
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 1, pp. 70-79
Open Access

Low expression of SGCA promotes LUSC malignant progression
Guojie Chen, Guangyao Mao, Xinyu Zong, et al.
Research Square (Research Square) (2024)
Open Access

AI Role to Decipher High-Dimensional Data for Early Prognosis of Non-Small-Cell Lung Cancer
Mahtab Darvish, Ryan Trask, Patrick Tallon, et al.
(2024), pp. 25-42
Closed Access

Seeking multi-view commonality and peculiarity: A novel decoupling method for lung cancer subtype classification
Ziyu Gao, Yin Luo, Minghui Wang, et al.
Expert Systems with Applications (2024), pp. 125397-125397
Closed Access

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