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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:

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 1-25 of 76 citing articles:

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Isaac Shiri, Mehdi Amini, Mostafa Nazari, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105230-105230
Open Access | Times Cited: 71
Introduction to radiomics for a clinical audience
Cathal McCague, Syafiq Ramlee, Marika Reinius, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 83-98
Open Access | Times Cited: 63
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection
Elham Avard, Isaac Shiri, Ghasem Hajianfar, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105145-105145
Open Access | Times Cited: 67
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105467-105467
Open Access | Times Cited: 64
[18F]FDG-PET/CT Radiomics and Artificial Intelligence in Lung Cancer: Technical Aspects and Potential Clinical Applications
Reyhaneh Manafi‐Farid, Emran Askari, Isaac Shiri, et al.
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 6, pp. 759-780
Open Access | Times Cited: 54
Radiomics in Early Lung Cancer Diagnosis: From Diagnosis to Clinical Decision Support and Education
Yun-Ju Wu, Fu‐Zong Wu, Shu Ching Yang, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1064-1064
Open Access | Times Cited: 41
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
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.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition
Maziar Sabouri, Ghasem Hajianfar, Zahra Hosseini, et al.
Journal of Digital Imaging (2022) Vol. 36, Iss. 2, pp. 497-509
Open Access | Times Cited: 30
Phenotyping the Histopathological Subtypes of Non-Small-Cell Lung Carcinoma: How Beneficial Is Radiomics?
Giovanni Pasini, Alessandro Stefano, G. Russo, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1167-1167
Open Access | Times Cited: 20
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
Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune checkpoint inhibitors
Changhee Park, Dong Young Jeong, Yeonu Choi, et al.
Frontiers in Immunology (2023) Vol. 13
Open Access | Times Cited: 15
Cytokine Profile in Lung Cancer Patients: Anti-Tumor and Oncogenic Cytokines
Freddy Elad Essogmo, Angelina V. Zhilenkova, Yvan Sinclair Ngaha Tchawe, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5383-5383
Open Access | Times Cited: 14
MRI-based radiomics distinguish different pathological types of hepatocellular carcinoma
Xuehu Wang, Shuping Wang, Xiaoping Yin, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105058-105058
Closed Access | Times Cited: 27
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
Mobin Mohebi, Mehdi Amini, Mohammad Javad Alemzadeh‐Ansari, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1348-1363
Open Access | Times Cited: 12
Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study
Margarida Gouveia, T. Santos Mendes, Eduardo M. Rodrigues, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1148-1148
Open Access
ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning
Erfan Barzegar-Golmoghani, Mobin Mohebi, Zahra Gohari, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Diagnosis of COVID-19 Using CT image Radiomics Features: A Comprehensive Machine Learning Study Involving 26,307 Patients
Isaac Shiri, Yazdan Salimi, Abdollah Saberi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 26
Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review
Nivedita Chakrabarty, Abhishek Mahajan
Clinical Oncology (2023) Vol. 36, Iss. 8, pp. 498-513
Closed Access | Times Cited: 10
A novel endoscopic ultrasomics-based machine learning model and nomogram to predict the pathological grading of pancreatic neuroendocrine tumors
Shuangyang Mo, Yingwei Wang, Cheng Huang, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34344-e34344
Open Access | Times Cited: 3
Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using 18F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis
Saeed Shafiee Hasanabadi, Seyed Mahmud Reza Aghamiri, Ahmad Ali Abin, et al.
Cancers (2024) Vol. 16, Iss. 20, pp. 3511-3511
Open Access | Times Cited: 3
CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma
Eelin Tan, Khurshid Merchant, Bhanu Prakash, et al.
Child s Nervous System (2022) Vol. 38, Iss. 8, pp. 1487-1495
Closed Access | Times Cited: 15
Information fusion for fully automated segmentation of head and neck tumors from PET and CT images
Isaac Shiri, Mehdi Amini, Fereshteh Yousefirizi, et al.
Medical Physics (2023) Vol. 51, Iss. 1, pp. 319-333
Open Access | Times Cited: 7
On impact response and damage tolerance of adhesively bonded joints - An experimental and numerical study
Wei Yang, Gang Zheng, Quantian Luo, et al.
Thin-Walled Structures (2024), pp. 112606-112606
Closed Access | Times Cited: 2
When artificial intelligence meets PD-1/PD-L1 inhibitors: Population screening, response prediction and efficacy evaluation
Weiqiu Jin, Qingquan Luo
Computers in Biology and Medicine (2022) Vol. 145, pp. 105499-105499
Closed Access | Times Cited: 12
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