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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:

Preoperatively Predicting Ki67 Expression in Pituitary Adenomas Using Deep Segmentation Network and Radiomics Analysis Based on Multiparameter MRI
Hongxia Li, Zhiling Liu, Fuyan Li, et al.
Academic Radiology (2023) Vol. 31, Iss. 2, pp. 617-627
Closed Access | Times Cited: 12

Showing 12 citing articles:

Preoperative Assessment of Ki‐67 Labeling Index in Pituitary Adenomas Using Delta‐Radiomics Based on Dynamic Contrast‐Enhanced MRI
Kaiyang Zhao, Chaoyue Chen, Yang Zhang, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data
Jiaying Ni, Hongjian Zhang, Qing Yang, et al.
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3397-3405
Closed Access | Times Cited: 5
Radiomic Analysis in Pituitary Tumors: Current Knowledge and Future Perspectives
Fabio Bioletto, Nunzia Prencipe, Alessandro Maria Berton, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 336-336
Open Access | Times Cited: 4
Preoperatively Predicting PIT1 Expression in Pituitary Adenomas Using Habitat, Intra-tumoral and Peri-tumoral Radiomics Based on MRI
Yuying Zang, Fei Zheng, Limin Feng, et al.
Deleted Journal (2025)
Closed Access
Editorial for “Preoperative Assessment of Ki‐67 Labeling Index in Pituitary Adenomas Using Delta‐Radiomics Based on Dynamic Contrast‐Enhanced MRI”
Daniel Lewis, Ka‐Loh Li, Xiaoping Zhu
Journal of Magnetic Resonance Imaging (2025)
Closed Access
MRI radiomics-based interpretable model and nomogram for preoperative prediction of Ki-67 expression status in primary central nervous system lymphoma
Endong Zhao, Yunfeng Yang, Miaomiao Bai, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 3
MRI- and DWI-Based Radiomics Features for Preoperatively Predicting Meningioma Sinus Invasion
Yuan Gui, Fen Chen, Jialiang Ren, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1054-1066
Open Access | Times Cited: 1
Immunological signatures and predictive biomarkers for first-generation somatostatin receptor ligand resistance in Acromegaly
Mei Luo, Jiangfan Yu, Rui Tang
Journal of Neuro-Oncology (2024) Vol. 167, Iss. 3, pp. 415-425
Closed Access | Times Cited: 1
Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models
Fangzheng Liu, Yuying Zang, Limei Feng, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
Radiomics of pituitary adenoma using computer vision: a review
Tomas Zilka, Wanda Benešová
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3581-3597
Open Access | Times Cited: 1
Automatic Pituitary Adenoma Segmentation and Identification of Cavernous Sinus Invasion via Multi-task Learning
Wenting Rui, Wei Gao, Nidan Qiao, et al.
Clinical Radiology (2024) Vol. 80, pp. 106756-106756
Closed Access | Times Cited: 1
Nomograms Based on MRI Radiomics for Differential Diagnosis and Predicting BRAFV600E Expression in Pleomorphic Xanthoastrocytoma and Ganglioglioma
Xin Kong, Yu M, Fengjun Xi, et al.
Academic Radiology (2023) Vol. 31, Iss. 3, pp. 1069-1081
Closed Access | Times Cited: 2
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