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:

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

Showing 1-25 of 35 citing articles:

Radiomics and Its Feature Selection: A Review
Wenchao Zhang, Yu Guo, Qiyu Jin
Symmetry (2023) Vol. 15, Iss. 10, pp. 1834-1834
Open Access | Times Cited: 43

Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use
Natally Horvat, Nickolas Papanikolaou, Dow‐Mu Koh
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 22

Advances in the management of pancreatic cancer
Marco Del Chiaro, Toshitaka Sugawara, Sana D. Karam, et al.
BMJ (2023), pp. e073995-e073995
Open Access | Times Cited: 38

CT Imaging of the Pancreas: A Review of Current Developments and Applications
Maxime Barat, Joël Greffier, Salim Si‐Mohamed, et al.
Canadian Association of Radiologists Journal (2025)
Closed Access | Times Cited: 1

An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation
Jingyu Zhong, Junjie Lu, Guangcheng Zhang, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19

A systematic review and meta-analysis of CT and MRI radiomics in ovarian cancer: methodological issues and clinical utility
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 17

Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
Meng-Lin Huang, Jing Ren, Zhengyu Jin, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 439-456
Closed Access | Times Cited: 6

Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features
Jeong Hyun Lee, Jaeseung Shin, Ji Hye Min, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5

Can our experience with surveillance for inherited pancreatic cancer help to identify early pancreatic cancer in the general population?
Matthias Löhr, Daniel Öhlund, Emma Söreskog, et al.
Familial Cancer (2024) Vol. 23, Iss. 3, pp. 399-403
Open Access | Times Cited: 3

Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi‐dataset feasibility study
Junhua Chen, Leonard Wee, André Dekker, et al.
Medical Physics (2023) Vol. 50, Iss. 7, pp. 4220-4233
Open Access | Times Cited: 8

Pancreatic ductal adenocarcinoma staging: A narrative review of radiologic techniques and advances
Linda C. Chu, Elliot K. Fishman
International Journal of Surgery (2023)
Open Access | Times Cited: 7

CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Modeling
Ricarda Hinzpeter, Roshini Kulanthaivelu, Andrés Kohan, et al.
Cancers (2022) Vol. 14, Iss. 24, pp. 6224-6224
Open Access | Times Cited: 10

Diagnostic accuracy of radiomics-based machine learning for neoadjuvant chemotherapy response and survival prediction in gastric cancer patients: A systematic review and meta-analysis
Diliyaer Adili, Aibibai Mohetaer, Wenbin Zhang
European Journal of Radiology (2023) Vol. 173, pp. 111249-111249
Closed Access | Times Cited: 6

Imaging of Pancreatic Ductal Adenocarcinoma: An Update on Recent Advances
Maxime Barat, Ugo Marchèse, Anna Pellat, et al.
Canadian Association of Radiologists Journal (2022) Vol. 74, Iss. 2, pp. 351-361
Closed Access | Times Cited: 9

Differential diagnostic value of radiomics models in benign versus malignant vertebral compression fractures: A systematic review and meta-analysis
Jiayuan Zheng, W. Y. Liu, Jianan Chen, et al.
European Journal of Radiology (2024) Vol. 178, pp. 111621-111621
Closed Access | Times Cited: 1

Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases
Friedrich L. Pietsch, Florian Haag, Isabelle Ayx, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 12, pp. 4295-4306
Open Access | Times Cited: 1

The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma
Yeon-koo Kang, Seunggyun Ha, Ji Bong Jeong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Blood- and Imaging-Derived Biomarkers for Oncological Outcome Modelling in Oropharyngeal Cancer: Exploring the Low-Hanging Fruit
Stefania Volpe, Aurora Gaeta, Francesca Colombo, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2022-2022
Open Access | Times Cited: 3

Clinical Features and Computed Tomography Radiomics-Based Model for Predicting Pancreatic Ductal Adenocarcinoma and Focal Mass-Forming Pancreatitis
Yingjian Ye, Junyan Zhang, Ping Song, et al.
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 3

Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis
Yaru Feng, Jing Gong, Tingdan Hu, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 12, pp. 8395-8412
Open Access | Times Cited: 3

Avoid non-diagnostic EUS-FNA: a DNN model as a possible gatekeeper to distinguish pancreatic lesions prone to inconclusive biopsy
Weinuo Qu, Jiannan Yang, Jiali Li, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1151
Open Access | Times Cited: 2

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