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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:

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation
Hengyi Yang, Tao Zhou, Yi Zhou, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 7, pp. 3349-3359
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Transformers for Neuroimage Segmentation: Scoping Review
Maya Iratni, Ahmad Shahidan Abdullah, Mariam Aldhaheri, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e57723-e57723
Open Access | Times Cited: 2
Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
Zain Ul Abıdın, Rizwan Ali Naqvi, Amir Haider, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 15
Edge-aware Feature Aggregation Network for Polyp Segmentation
Tao Zhou, Yizhe Zhang, Geng Chen, et al.
Deleted Journal (2025) Vol. 22, Iss. 1, pp. 101-116
Closed Access | Times Cited: 1
multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information
Hongjun Zhu, Jeffrey Huang, Kuo Chen, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110148-110148
Open Access | Times Cited: 1
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
Jing Wang, Yanyang Peng, Jing Shi, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 22
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis
Yonghao Li, Tao Zhou, Kelei He, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3395-3407
Open Access | Times Cited: 21
Novel Robust Automatic Brain-Tumor Detection and Segmentation Using Magnetic Resonance Imaging
Mingyang Xu, Limei Guo, Hsiao‐Chun Wu
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10957-10964
Closed Access | Times Cited: 7
A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases
Ling-Zhi Tang, Zitian Zhang, Jinzhu Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1528-1539
Closed Access | Times Cited: 6
Transformer’s Role in Brain MRI: A Scoping Review
Mansoor Hayat, Supavadee Aramvith
IEEE Access (2024) Vol. 12, pp. 108876-108896
Open Access | Times Cited: 5
Image Generation and Lesion Segmentation of Brain Tumors and Stroke Based on GAN and 3D ResU-Net
Mingkang Sun, Xiang Li, Weiye Sun
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 4
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 4
Multi-modal disease segmentation with continual learning and adaptive decision fusion
Xu Xu, Junxin Chen, Dipanwita Thakur, et al.
Information Fusion (2025), pp. 102962-102962
Closed Access
Multi-Modality Fusion and Tumor Sub-Component Relationship Ensemble Network for Brain Tumor Segmentation
Jinyan Zhou, Shuwen Wang, Hao Wang, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 159-159
Open Access
LFBTS: Enhanced Multimodality MRI Fusion for Brain Tumor Segmentation With Limited Computational Resources
Yuanjing Hu, Aibin Huang
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Precision Meets Innovation: Hybrid Ai Model in Brain Tumor Research
Rabeya Bashri Sumona, Jit Biswas, Ahmed Shafkat, et al.
(2025)
Closed Access
CMS-net: Edge-aware multimodal MRI feature fusion for brain tumor segmentation
Chunjie Lv, Biyuan Li, Xiuwei Wang, et al.
Image and Vision Computing (2025) Vol. 156, pp. 105481-105481
Closed Access
S2Net: Self‐adaptive weighted fusion and self‐adaptive aligned network for multi‐modal MRI segmentation
Chengzhi Gui, Xingwei An, Shuang Liu, et al.
Medical Physics (2025)
Closed Access
MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation
Yu Wang, Juan Xu, Yucheng Guan, et al.
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
3D brain tumor segmentation based on a novel nettree merging
Lingling Fang, Yang Yu, Shihao Zhang, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110056-110056
Closed Access
Supervised autoregressive eXogenous Networks with Fractional Grünwald–Letnikov finite differences: Tumor Evolution and Immune Responses under Therapeutic Influence fractals model
Hassan Raza, Muhammad Junaid Ali Asif Raja, Rikza Mubeen, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107871-107871
Closed Access
Modal Feature Supplementation Enhances Brain Tumor Segmentation
Kaiyan Zhu, Weiye Cao, Jianhao Xu, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Boundary-aware and cross-modal fusion network for enhanced multi-modal brain tumor segmentation
Tongxue Zhou
Pattern Recognition (2025), pp. 111637-111637
Closed Access
M2FNet: multi-modality multi-level fusion network for segmentation of acute and sub-acute ischemic stroke
Shannan Chen, Xuanhe Zhao, Yang Duan, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 6
Open Access
Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans
Xuewei Kang, Lisha Yao, Yanqi Huang, et al.
Expert Systems with Applications (2025), pp. 127727-127727
Closed Access
Multi-model Fusion for Prediction and Segmentation of Brain Tumor Using CNNs
R. Thilagavathy, M. Gayathri, R. Deepalakshmi, et al.
Studies in big data (2025), pp. 273-287
Closed Access
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