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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:

An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas
Guanzhang Li, Lin Li, Yiming Li, et al.
Brain (2021) Vol. 145, Iss. 3, pp. 1151-1161
Open Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusion
Peishu Wu, Zidong Wang, Baixun Zheng, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106457-106457
Closed Access | Times Cited: 106
CT Radiomics to Predict Macrotrabecular-Massive Subtype and Immune Status in Hepatocellular Carcinoma
Zhichao Feng, Huiling Li, Qianyun Liu, et al.
Radiology (2022) Vol. 307, Iss. 1
Closed Access | Times Cited: 91
Brain macrophage development, diversity and dysregulation in health and disease
Aymeric Silvin, Jiawen Qian, Florent Ginhoux
Cellular and Molecular Immunology (2023) Vol. 20, Iss. 11, pp. 1277-1289
Open Access | Times Cited: 59
Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
Sirvan Khalighi, Kartik Reddy, Abhishek Midya, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 47
Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis
Wendi Kang, Xiang Qiu, Yingen Luo, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 44
Glioblastoma and brain connectivity: the need for a paradigm shift
Alessandro Salvalaggio, Lorenzo Pini, Alessandra Bertoldo, et al.
The Lancet Neurology (2024) Vol. 23, Iss. 7, pp. 740-748
Closed Access | Times Cited: 16
GAN-based one dimensional medical data augmentation
Ye Zhang, Zhixiang Wang, Z. Zhang, et al.
Soft Computing (2023) Vol. 27, Iss. 15, pp. 10481-10491
Open Access | Times Cited: 29
Noninvasive radiomics model reveals macrophage infiltration in glioma
Xiao Fan, Jintan Li, Bin Huang, et al.
Cancer Letters (2023) Vol. 573, pp. 216380-216380
Closed Access | Times Cited: 27
TREM2 is associated with tumor immunity and implies poor prognosis in glioma
Mingchen Yu, Yuanhao Chang, You Zhai, et al.
Frontiers in Immunology (2023) Vol. 13
Open Access | Times Cited: 23
MRI-derived radiomics assessing tumor-infiltrating macrophages enable prediction of immune-phenotype, immunotherapy response and survival in glioma
Di Chen, Rui Zhang, Xiaoming Huang, et al.
Biomarker Research (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 10
Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features
Milad Ahmadian, Zuhir Bodalal, Hedda J. van der Hulst, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108389-108389
Closed Access | Times Cited: 10
IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy
Feng Ye, Lichong Wang, Yuanyou Li, et al.
Frontiers in Immunology (2024) Vol. 14
Open Access | Times Cited: 8
Artificial intelligence-based MRI radiomics and radiogenomics in glioma
Haiqing Fan, Yilin Luo, Fang Gu, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Glioma-associated macrophages: unraveling their dual role in the microenvironment and therapeutic implications
Jiachen Wang, Shenglan Li, Yanjie Lan, et al.
Current Medicine (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 8
Survival and immune microenvironment prediction of glioma based on MRI imaging genomics method: a retrospective observational study
Zhihao Wang, Yunbo Yuan, Tao Cui, et al.
Neurosurgical Review (2025) Vol. 48, Iss. 1
Closed Access | Times Cited: 1
Radiomics: A review of current applications and possibilities in the assessment of tumor microenvironment
Caiqiang Xue, Qing Zhou, Huaze Xi, et al.
Diagnostic and Interventional Imaging (2022) Vol. 104, Iss. 3, pp. 113-122
Open Access | Times Cited: 36
Radiomics for characterization of the glioma immune microenvironment
Nastaran Khalili, Anahita Fathi Kazerooni, Ariana Familiar, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 19
A transfer learning approach on MRI-based radiomics signature for overall survival prediction of low-grade and high-grade gliomas
Viet Huan Le, Tran Nguyen Tuan Minh, Quang Hien Kha, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 10, pp. 2699-2712
Closed Access | Times Cited: 18
Self-supervised tumor segmentation and prognosis prediction in osteosarcoma using multiparametric MRI and clinical characteristics
Zhixun Zhou, Peng Xie, Zhehao Dai, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107974-107974
Closed Access | Times Cited: 16
Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis
Qingyi Wang, Zhuo Chang, X. Liu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e48527-e48527
Open Access | Times Cited: 7
Preoperative prediction of MGMT promoter methylation in glioblastoma based on multiregional and multi-sequence MRI radiomics analysis
Lanqing Li, Xiao Feng, Shouchao Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Diagnostic Performance of Radiomics and Deep Learning to Identify Benign and Malignant Soft Tissue Tumors: A Systematic Review and Meta-analysis
Xinpeng Dai, Bingxin Zhao, Jiangnan Zang, et al.
Academic Radiology (2024) Vol. 31, Iss. 10, pp. 3956-3967
Closed Access | Times Cited: 6
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
Yasen Yimit, Parhat Yasin, Abudouresuli Tuersun, et al.
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3384-3396
Closed Access | Times Cited: 5
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature
Ting Yan, Zhenpeng Yan, Guohui Chen, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Radiogenomic method combining DNA methylation profiles and magnetic resonance imaging radiomics predicts patient prognosis in skull base chordoma
Xiaoyu Deng, Peiran Li, Kaibing Tian, et al.
Clinical Epigenetics (2025) Vol. 17, Iss. 1
Open Access
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