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:

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 26-50 of 47 citing articles:

Establishment of a neutrophil extracellular trap-related prognostic signature for colorectal cancer liver metastasis and expression validation of CYP4F3
Xiaoli Tang, Ziyang Xu, Jiao Guan, et al.
Clinical and Experimental Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Development and validation of an MRI-based nomogram for the preoperative prediction of tumor mutational burden in lower-grade gliomas
Entao Liu, Shuqin Zhou, Yingwen Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 3, pp. 1684-1697
Open Access | Times Cited: 7

Nomogram for predicting occurrence of synchronous liver metastasis in colorectal cancer: a single-center retrospective study based on pathological factors
Yunxiao Liu, Yuliuming Wang, Hao Zhang, et al.
World Journal of Surgical Oncology (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 7

The value of magnetic resonance imaging-based tumor shape features for assessing microsatellite instability status in endometrial cancer
Huihui Wang, Zeyan Xu, Haochen Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 9, pp. 4402-4413
Open Access | Times Cited: 6

Development and External Validation of an MRI-based Radiomics Nomogram to Distinguish Circumscribed Astrocytic Gliomas and Diffuse Gliomas: A Multicenter Study
Shuang Li, Xiaorui Su, Juan Peng, et al.
Academic Radiology (2023) Vol. 31, Iss. 2, pp. 639-647
Closed Access | Times Cited: 3

The Role and Potential Mechanism of Complement Factor D in Fibromyalgia Development
Xinhuan Lei, Xiaoting Song, Yongyong Fan, et al.
Journal of Pain Research (2023) Vol. Volume 16, pp. 4337-4351
Open Access | Times Cited: 2

Prognostic factors and individualized nomograms predicting overall survival in stage IV rectal cancer patients with different metastatic status: a SEER-based study
Heming Ge, Zhongyi Zhou, Yuqiang Li, et al.
Translational Cancer Research (2022) Vol. 11, Iss. 9, pp. 3141-3155
Open Access | Times Cited: 3

Research Progress on Colony-Stimulating Factor Combined with Radiotherapy to Fight Tumor Immunomodulation
峻 张
Advances in Clinical Medicine (2024) Vol. 14, Iss. 01, pp. 1202-1209
Closed Access

Application of Artificial Intelligence in Abdominal Imaging
Ma Xiaohong, Feng Bing, Qi Zhang, et al.
(2024), pp. 181-191
Closed Access

Computed tomography-based radiomic model for the prediction of neoadjuvant immunochemotherapy response in patients with advanced gastric cancer
Jun Zhang, Qi Wang, Tianhui Guo, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 10, pp. 4115-4128
Closed Access

A Computed Tomography Nomogram for Assessing the Malignancy Risk of Focal Liver Lesions in Patients With Cirrhosis: A Preliminary Study
Hongzhen Wu, Zihua Wang, Yingying Liang, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 1

Repeatability of Radiomics Studies in Colorectal Cancer: A Systematic Review
Ying Liu, Xiaoqin Wei, Feng Xu, et al.
Research Square (Research Square) (2022)
Open Access

Artificial intelligence in cancer imaging for diagnosis and evaluation of treatment response
Qi Yang, Yu Fu, Zhongping Chen, et al.
Radiology Science (2022) Vol. 1, Iss. 1
Open Access

Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Daniele Perlo, Luca Berton, Alessia Delpiano, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4425-4433
Open Access

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