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:

Radiomics-Based Outcome Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy
Elsa Parr, Qian Du, Chi Zhang, et al.
Cancers (2020) Vol. 12, Iss. 4, pp. 1051-1051
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Artificial intelligence assists precision medicine in cancer treatment
Jinzhuang Liao, M Kellis, Yu Gan, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 104

Artificial intelligence in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 70

Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications
Kiersten Preuss, Nate Thach, Xiaoying Liang, et al.
Cancers (2022) Vol. 14, Iss. 7, pp. 1654-1654
Open Access | Times Cited: 47

Radiomics in Oncology, Part 1: Technical Principles and Gastrointestinal Application in CT and MRI
Damiano Caruso, Michela Polici, Marta Zerunian, et al.
Cancers (2021) Vol. 13, Iss. 11, pp. 2522-2522
Open Access | Times Cited: 45

Radiomics and Dosiomics for Predicting Local Control after Carbon-Ion Radiotherapy in Skull-Base Chordoma
Giulia Buizza, Chiara Paganelli, Emma D’Ippolito, et al.
Cancers (2021) Vol. 13, Iss. 2, pp. 339-339
Open Access | Times Cited: 41

A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?
Yuhan Gao, Sihang Cheng, Liang Zhu, et al.
European Radiology (2022) Vol. 32, Iss. 12, pp. 8443-8452
Closed Access | Times Cited: 35

The impact of radiomics in diagnosis and staging of pancreatic cancer
Calogero Casà, Antonio Piras, Andrea D’Aviero, et al.
Therapeutic Advances in Gastrointestinal Endoscopy (2022) Vol. 15
Open Access | Times Cited: 29

Pancreatic cancer, radiomics and artificial intelligence
Luis Martí‐Bonmatí, Leonor Cerdá-Alberich, Alexandre Pérez‐Girbés, et al.
British Journal of Radiology (2022) Vol. 95, Iss. 1137
Open Access | Times Cited: 28

Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers
Azadeh Tabari, Shin Mei Chan, Omar M. Omar, et al.
Cancers (2022) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 23

Imaging-based Machine-learning Models to Predict Clinical Outcomes and Identify Biomarkers in Pancreatic Cancer
Boris V. Janssen, S. Verhoef, Nina J. Wesdorp, et al.
Annals of Surgery (2021) Vol. 275, Iss. 3, pp. 560-567
Closed Access | Times Cited: 28

Radiomics features of pericoronary adipose tissue improve CT-FFR performance in predicting hemodynamically significant coronary artery stenosis
Lihua Yu, Xiuyu Chen, Runjianya Ling, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 2004-2014
Closed Access | Times Cited: 21

Multimodal survival prediction in advanced pancreatic cancer using machine learning
Julius Keyl, Stefan Kasper, Marcel Wiesweg, et al.
ESMO Open (2022) Vol. 7, Iss. 5, pp. 100555-100555
Open Access | Times Cited: 20

Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics
Vitali Koch, Nils Weitzer, Daniel Pinto dos Santos, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12

A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma
Linxia Wu, Chunyuan Cen, Xiaofei Yue, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Development of Multiparametric Prognostic Models for Stereotactic MR-guided Radiotherapy of Pancreatic Cancers
Morgan Michalet, G. De La Morena Valenzuela, Stéphanie Nougaret, et al.
International Journal of Radiation Oncology*Biology*Physics (2025)
Open Access

Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography
Xiawei Li, Yidong Wan, Jianyao Lou, et al.
EClinicalMedicine (2021) Vol. 43, pp. 101215-101215
Open Access | Times Cited: 24

Understanding the Conundrum of Pancreatic Cancer in the Omics Sciences Era
Alberto Nicoletti, Mattia Paratore, Federica Vitale, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 14, pp. 7623-7623
Open Access | Times Cited: 3

A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma
Gian Maria Zaccaria, Francesco Berloco, Domenico Buongiorno, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108408-108408
Open Access | Times Cited: 3

Role of radiomics in the diagnosis and treatment of gastrointestinal cancer
Qi Mao, Mao-Ting Zhou, Zhang-Ping Zhao, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 42, pp. 6002-6016
Open Access | Times Cited: 14

Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs
Sovanlal Mukherjee, Panagiotis Korfiatis, Hala Khasawneh, et al.
Pancreatology (2023) Vol. 23, Iss. 5, pp. 522-529
Closed Access | Times Cited: 9

Delta Radiomic Features Predict Resection Margin Status and Overall Survival in Neoadjuvant-Treated Pancreatic Cancer Patients
Kai Wang, John D. Karalis, Ahmed M. Elamir, et al.
Annals of Surgical Oncology (2023) Vol. 31, Iss. 4, pp. 2608-2620
Open Access | Times Cited: 8

Unmasking pancreatic cancer: Advanced biomedical imaging for its detection in native versus arterial dual‐energy computed tomography (DECT) scans
Jennifer Gotta, Leon D. Gruenewald, Simon S. Martin, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 2

Trends and Hotspots in Global Radiomics Research: A Bibliometric Analysis
Minghui Zhang, Yan Wang, Mutian Lv, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 2

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