OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Development and assessment of an individualized nomogram to predict colorectal cancer liver metastases
Mingyang Li, Xueyan Li, Guo Yu, et al.
Quantitative Imaging in Medicine and Surgery (2020) Vol. 10, Iss. 2, pp. 397-414
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review
Frank J. T. Staal, Denise J. van der Reijd, Marjaneh Taghavi, et al.
Clinical Colorectal Cancer (2020) Vol. 20, Iss. 1, pp. 52-71
Open Access | Times Cited: 92

Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases
Gianluca Rompianesi, Francesca Pegoraro, Carlo Ceresa, et al.
World Journal of Gastroenterology (2021) Vol. 28, Iss. 1, pp. 108-122
Open Access | Times Cited: 76

Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases
Marjaneh Taghavi, Stefano Trebeschi, Rita Simões, et al.
Abdominal Radiology (2020) Vol. 46, Iss. 1, pp. 249-256
Closed Access | Times Cited: 66

Radiomics and Radiogenomics in Evaluation of Colorectal Cancer Liver Metastasis
Yun Wang, Luyao Ma, Xiaoping Yin, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 28

The value of 18F-FDG PET/CT-based radiomics in predicting perineural invasion and outcome in non-metastatic colorectal cancer
Jie Ma, Dong Guo, Wenjie Miao, et al.
Abdominal Radiology (2022) Vol. 47, Iss. 4, pp. 1244-1254
Closed Access | Times Cited: 24

Automatic Detection and Segmentation of Colorectal Cancer with Deep Residual Convolutional Neural Network
A. Akilandeswari, D. Sungeetha, Christeena Joseph, et al.
Evidence-based Complementary and Alternative Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 24

Digital Medical X-ray Imaging, CAD in Lung Cancer and Radiomics in Colorectal Cancer: Past, Present and Future
Jacobo Porto-Álvarez, Gary T. Barnes, Alex Villanueva, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2218-2218
Open Access | Times Cited: 14

Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1310-1332
Closed Access | Times Cited: 13

Intratumoral and peritumoral CT radiomics in predicting prognosis in patients with chondrosarcoma: a multicenter study
Qiyuan Li, Ning Wang, Yanmei Wang, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5

Assessment of Primary Colorectal Cancer CT Radiomics to Predict Metachronous Liver Metastasis
Yue Li, Jing Gong, Xigang Shen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 21

Intratumoral and Peritumoral CT Radiomics in Predicting Prognosis in Patients with Chondrosarcoma
丽 孙
Advances in Clinical Medicine (2025) Vol. 15, Iss. 03, pp. 2279-2288
Closed Access

Bronchoscopy improves short-term imaging improvement in segmental/lobar pneumonia: a single-center retrospective cohort study
Yaozheng Ling, Fanzheng Meng, Junhui Li, et al.
Respiratory Medicine (2025) Vol. 242, pp. 108088-108088
Closed Access

Imaging Characteristics of Liver Metastases Overlooked at Contrast-Enhanced CT
Hirotsugu Nakai, Shigeki Arizono, Hiroyoshi Isoda, et al.
American Journal of Roentgenology (2019) Vol. 212, Iss. 4, pp. 782-787
Open Access | Times Cited: 31

Ct-based intratumoral and peritumoral radiomics for predicting prognosis in osteosarcoma: A multicenter study
Qiushi Su, Ning Wang, Bingyan Wang, et al.
European Journal of Radiology (2024) Vol. 172, pp. 111350-111350
Closed Access | Times Cited: 3

Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases
Hui Qu, Huan Zhai, Shuairan Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 7

Analysis of the role of glucose metabolism-related genes in dilated cardiomyopathy based on bioinformatics
Keping Chen, Yan Shi, Haijie Zhu
Journal of Thoracic Disease (2023) Vol. 15, Iss. 7, pp. 3870-3884
Open Access | Times Cited: 7

Artificial Intelligence to Early Predict Liver Metastases in Patients with Colorectal Cancer: Current Status and Future Prospectives
Pasquale Avella, Micaela Cappuccio, Teresa Cappuccio, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2027-2027
Open Access | Times Cited: 7

Deep learning radiomics for focal liver lesions diagnosis on long-range contrast-enhanced ultrasound and clinical factors
Li Liu, Chunlin Tang, Lu Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3213-3226
Open Access | Times Cited: 12

MRI T2WI-based radiomics combined with KRAS gene mutation constructed models for predicting liver metastasis in rectal cancer
Jiaqi Ma, Xinsheng Nie, X H Kong, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2

Urinary PCA3 a Superior Diagnostic Biomarker for Prostate Cancer among Ghanaian Men
Bismark Opoku Mensah, Linda Ahenkorah Fondjo, William K. B. A. Owiredu, et al.
Disease Markers (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 9

Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Infectious Agents and Cancer (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 5

Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review
Julian Andres Ramirez-Bautista, Silvia L. Chaparro-Cárdenas, Carmen Esmer, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105463-105463
Closed Access | Times Cited: 4

Page 1 - Next Page

Scroll to top