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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:

A Brief Survey on Semantic Segmentation with Deep Learning
Shijie Hao, Yuan Zhou, Yanrong Guo
Neurocomputing (2020) Vol. 406, pp. 302-321
Closed Access | Times Cited: 419

Showing 1-25 of 419 citing articles:

Deep learning for monocular depth estimation: A review
Yue Ming, Xuyang Meng, Chunxiao Fan, et al.
Neurocomputing (2021) Vol. 438, pp. 14-33
Open Access | Times Cited: 293
Fault diagnosis for small samples based on attention mechanism
Xin Zhang, Chao He, Yanping Lu, et al.
Measurement (2021) Vol. 187, pp. 110242-110242
Closed Access | Times Cited: 144
Behaviour recognition of pigs and cattle: Journey from computer vision to deep learning
Chen Chen, Weixing Zhu, Tomás Norton
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106255-106255
Open Access | Times Cited: 132
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
Jinya Su, Xiaoyong Zhu, Shihua Li, et al.
Neurocomputing (2022) Vol. 518, pp. 242-270
Open Access | Times Cited: 119
Digital image correlation (DIC) based damage detection for CFRP laminates by using machine learning based image semantic segmentation
Yuansong Wang, Quantian Luo, Hui Xie, et al.
International Journal of Mechanical Sciences (2022) Vol. 230, pp. 107529-107529
Closed Access | Times Cited: 76
Transformer-Based Visual Segmentation: A Survey
Xiangtai Li, Henghui Ding, Haobo Yuan, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10138-10163
Open Access | Times Cited: 62
A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision
Nikoleta Manakitsa, George S. Maraslidis, Lazaros Moysis, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 15-15
Open Access | Times Cited: 59
Deep-Learning-Based Approaches for Semantic Segmentation of Natural Scene Images: A Review
Büşra Emek Soylu, Mehmet Serdar Güzel, Erkan Bostancı, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2730-2730
Open Access | Times Cited: 54
Deep Learning for Inertial Positioning: A Survey
Changhao Chen, Xianfei Pan
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10506-10523
Open Access | Times Cited: 21
Deep Learning for Understanding Satellite Imagery: An Experimental Survey
Sharada P. Mohanty, Jakub Czakon, Kamil Kaczmarek, et al.
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 93
Deep learning in electron microscopy
Jeffrey M. Ede
Machine Learning Science and Technology (2020) Vol. 2, Iss. 1, pp. 011004-011004
Open Access | Times Cited: 84
Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints
Haiqi Zhang, Guangquan Lu, Mengmeng Zhan, et al.
Neural Processing Letters (2021) Vol. 54, Iss. 4, pp. 2645-2656
Closed Access | Times Cited: 84
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, et al.
IEEE Access (2021) Vol. 9, pp. 83002-83024
Open Access | Times Cited: 74
Heterogeneous data fusion for predicting mild cognitive impairment conversion
Heng Tao Shen, Xiaofeng Zhu, Zheng Zhang, et al.
Information Fusion (2020) Vol. 66, pp. 54-63
Closed Access | Times Cited: 71
GA-Nav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
Tianrui Guan, Divya Kothandaraman, Rohan Chandra, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 8138-8145
Open Access | Times Cited: 67
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images
Dan Li, Chuda Xiao, Yang Liu, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1788-1788
Open Access | Times Cited: 45
CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal Images
Zhen Feng, Yanning Guo, Yuxiang Sun
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 4, pp. 2205-2212
Closed Access | Times Cited: 30
TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping
Ali Jamali, Swalpa Kumar Roy, Jonathan Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103332-103332
Open Access | Times Cited: 23
Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images
Kassim Kalinaki, Owais Ahmed Malik, Daphne Teck Ching Lai, et al.
Ecological Informatics (2023) Vol. 77, pp. 102193-102193
Closed Access | Times Cited: 22
Construction Instance Segmentation (CIS) Dataset for Deep Learning-Based Computer Vision
Xuzhong Yan, Hong Zhang, Yefei Wu, et al.
Automation in Construction (2023) Vol. 156, pp. 105083-105083
Closed Access | Times Cited: 22
Towards goal-oriented semantic signal processing: Applications and future challenges
Mert Kalfa, Mehmetcan Gok, Arda Atalık, et al.
Digital Signal Processing (2021) Vol. 119, pp. 103134-103134
Open Access | Times Cited: 51
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
Yi Liu, Lutao Chu, Guowei Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 47
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data
Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102782-102782
Open Access | Times Cited: 44
Applications of deep learning in electron microscopy
Kevin P. Treder, Chen Huang, Judy S. Kim, et al.
Microscopy (2021) Vol. 71, Iss. Supplement_1, pp. i100-i115
Open Access | Times Cited: 44
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