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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:

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, et al.
IEEE Transactions on Medical Imaging (2019) Vol. 39, Iss. 6, pp. 1856-1867
Open Access | Times Cited: 2804

Showing 1-25 of 2804 citing articles:

TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang, Huiye Liu, Qiang Hu
Lecture notes in computer science (2021), pp. 14-24
Closed Access | Times Cited: 705
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
Sheng Fang, Kaiyu Li, J. Shao, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 619
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 572
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler, Dag Johansen, et al.
(2020), pp. 558-564
Open Access | Times Cited: 565
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 538
Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Junyi Chai, Hao Zeng, Anming Li, et al.
Machine Learning with Applications (2021) Vol. 6, pp. 100134-100134
Open Access | Times Cited: 470
Artificial intelligence for the metaverse: A survey
Thien Huynh‐The, Quoc‐Viet Pham, Xuan‐Qui Pham, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105581-105581
Open Access | Times Cited: 468
Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images
Ramin Ranjbarzadeh, Abbas Bagherian Kasgari, Saeid Jafarzadeh Ghoushchi, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 444
Medical image segmentation using deep learning: A survey
Risheng Wang, Tao Lei, Ruixia Cui, et al.
IET Image Processing (2022) Vol. 16, Iss. 5, pp. 1243-1267
Open Access | Times Cited: 429
Review the state-of-the-art technologies of semantic segmentation based on deep learning
Yujian Mo, Yan Wu, Xinneng Yang, et al.
Neurocomputing (2022) Vol. 493, pp. 626-646
Closed Access | Times Cited: 399
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Yutong Xie, Jianpeng Zhang, Chunhua Shen, et al.
Lecture notes in computer science (2021), pp. 171-180
Open Access | Times Cited: 383
TransMorph: Transformer for unsupervised medical image registration
Junyu Chen, Eric C. Frey, Yufan He, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102615-102615
Open Access | Times Cited: 351
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI
Zhiqin Zhu, Xianyu He, Guanqiu Qi, et al.
Information Fusion (2022) Vol. 91, pp. 376-387
Closed Access | Times Cited: 350
Dense Nested Attention Network for Infrared Small Target Detection
Boyang Li, Chao Xiao, Longguang Wang, et al.
IEEE Transactions on Image Processing (2022) Vol. 32, pp. 1745-1758
Open Access | Times Cited: 337
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
Tongle Fan, Guanglei Wang, Yan Li, et al.
IEEE Access (2020) Vol. 8, pp. 179656-179665
Open Access | Times Cited: 318
An effective CNN and Transformer complementary network for medical image segmentation
Feiniu Yuan, Zhengxiao Zhang, Zhijun Fang
Pattern Recognition (2022) Vol. 136, pp. 109228-109228
Closed Access | Times Cited: 293
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu, Shanghua Gao, Jie Mei, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 3113-3126
Open Access | Times Cited: 283
Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 234
U-Shape Transformer for Underwater Image Enhancement
Lintao Peng, Chunli Zhu, Liheng Bian
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 3066-3079
Open Access | Times Cited: 229
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102166-102166
Open Access | Times Cited: 221
Sharp U-Net: Depthwise convolutional network for biomedical image segmentation
Hasib Zunair, A. Ben Hamza
Computers in Biology and Medicine (2021) Vol. 136, pp. 104699-104699
Open Access | Times Cited: 219
Deep learning based brain tumor segmentation: a survey
Zhihua Liu, Lei Tong, Long Chen, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 1001-1026
Open Access | Times Cited: 209
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review
Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2450-2450
Open Access | Times Cited: 200
Efficient attention-based deep encoder and decoder for automatic crack segmentation
Dong Hee Kang, Young‐Jin Cha
Structural Health Monitoring (2021) Vol. 21, Iss. 5, pp. 2190-2205
Open Access | Times Cited: 199
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency
Xiangde Luo, Guotai Wang, Wenjun Liao, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102517-102517
Closed Access | Times Cited: 186
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