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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:

Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma
Yun Bian, Zhilin Zheng, Xu Fang, et al.
Radiology (2022) Vol. 306, Iss. 1, pp. 160-169
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Use of Large Language Models to Predict Neuroimaging
Lleayem Nazario-Johnson, Hossam A. Zaki, Glenn A. Tung
Journal of the American College of Radiology (2023) Vol. 20, Iss. 10, pp. 1004-1009
Closed Access | Times Cited: 25
Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study
Mingzhen Chen, Chunli Kong, Guihan Lin, et al.
EClinicalMedicine (2023) Vol. 63, pp. 102176-102176
Open Access | Times Cited: 24
Seizing the fate of lymph nodes in immunotherapy: To preserve or not?
Zhenyu Xu, Zi‐Zhan Li, Lei‐Ming Cao, et al.
Cancer Letters (2024) Vol. 588, pp. 216740-216740
Closed Access | Times Cited: 15
Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Artificial Intelligence in Pancreatic Imaging: A Systematic Review
Nicoleta Podină, Elena Codruța Gheorghe, Alina Constantin, et al.
United European Gastroenterology Journal (2025)
Open Access | Times Cited: 1
The clinical application of artificial intelligence in cancer precision treatment
Jinyu Wang, Ziyi Zeng, Zehua Li, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
MRI-based deep learning radiomics to differentiate dual-phenotype hepatocellular carcinoma from HCC and intrahepatic cholangiocarcinoma: a multicenter study
Qian Wu, Tao Zhang, Fan Xu, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Long non-coding RNAs: Emerging regulators of invasion and metastasis in pancreatic cancer
Mengmeng Shi, Rui Zhang, Hui Lyu, et al.
Journal of Advanced Research (2025)
Open Access | Times Cited: 1
A deep-learning radiomics-based lymph node metastasis predictive model for pancreatic cancer: a diagnostic study
Ningzhen Fu, Wenli Fu, Haoda Chen, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 8, pp. 2196-2203
Open Access | Times Cited: 22
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
Mingze Yuan, Yingda Xia, Hexin Dong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 18
Deep Learning Applications in Pancreatic Cancer
Hardik J. Patel, Theodoros P. Zanos, D. Brock Hewitt
Cancers (2024) Vol. 16, Iss. 2, pp. 436-436
Open Access | Times Cited: 8
Intra‐ and Peri‐tumoral Radiomics Based on Dynamic Contrast Enhanced‐MRI to Identify Lymph Node Metastasis and Prognosis in Intrahepatic Cholangiocarcinoma
Yijun Pan, Sunjie Wu, Yan Zeng, et al.
Journal of Magnetic Resonance Imaging (2024) Vol. 60, Iss. 6, pp. 2669-2680
Closed Access | Times Cited: 7
Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters
Youjia Wen, Zuhua Song, Qian Li, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Dual-Energy Computed Tomography in Detecting and Predicting Lymph Node Metastasis in Malignant Tumor Patients: A Comprehensive Review
Mengting Chen, Yundan Jiang, Chao Zhou, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 377-377
Open Access | Times Cited: 5
Reconsideration of the clinical impact of neoadjuvant therapy in resectable and borderline resectable pancreatic cancer: A dual-institution collaborative clinical study
Suguru Yamada, Daisuke Hashimoto, Tomohisa Yamamoto, et al.
Pancreatology (2024) Vol. 24, Iss. 4, pp. 592-599
Closed Access | Times Cited: 5
Radiomics and deep learning models for CT pre-operative lymph node staging in pancreatic ductal adenocarcinoma: A systematic review and meta-analysis
Roberto Castellana, Salvatore Claudio Fanni, Claudia Roncella, et al.
European Journal of Radiology (2024) Vol. 176, pp. 111510-111510
Closed Access | Times Cited: 5
Artificial intelligence to predict T4 stage of pancreatic ductal adenocarcinoma using CT imaging
Qi Miao, Xuechun Wang, Jingjing Cui, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108125-108125
Closed Access | Times Cited: 4
ChatGPT in surgery: a revolutionary innovation?
Mustafa Bektaş, Jaime Ken Pereira, Freek Daams, et al.
Surgery Today (2024) Vol. 54, Iss. 8, pp. 964-971
Open Access | Times Cited: 4
Artificial Intelligence in Pancreatic Image Analysis: A Review
W.J. Liu, Bairui Zhang, Tao Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 4
A CT-based radiomics model for predicting lymph node metastasis in hepatic alveolar echinococcosis patients to support lymph node dissection
Yinshu Zhou, Pengcai Feng, Fengyuan Tian, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 4
Diagnostic and prognostic value of MRI-based Node-RADS for the assessment of regional lymph node metastasis in renal cell carcinoma
Xu Bai, Peng Cheng, Baichuan Liu, et al.
Diagnostic and Interventional Imaging (2024)
Closed Access | Times Cited: 4
Advancements in the Application of the Intersection of Medicine and Engineering in Cancer Research
Haitao Chen, Guan-Meng Zhang, Yuping Qian, et al.
(2025)
Open Access
Advancements in molecular imaging for the diagnosis and treatment of pancreatic ductal adenocarcinoma
Xun Hu, Zihua Wang, Yuting Zhu, et al.
Nanoscale Advances (2025)
Open Access
A risk score system including CT features for predicting early recurrence of resectable pancreatic ductal adenocarcinoma after radical resection: a dual-center retrospective study
Yan Deng, Haopeng Yu, Marc Zins, et al.
European Radiology (2025)
Closed Access
A CT-based radiomics nomogram for the preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma
Yan Deng, Haopeng Yu, Xiuping Duan, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
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