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:

Improved U-Net Remote Sensing Classification Algorithm Fusing Attention and Multiscale Features
Xiangsuo Fan, Chuan Yan, Jinlong Fan, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3591-3591
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Research on a U-Net Bridge Crack Identification and Feature-Calculation Methods Based on a CBAM Attention Mechanism
Huifeng Su, Xiang Wang, Tao Han, et al.
Buildings (2022) Vol. 12, Iss. 10, pp. 1561-1561
Open Access | Times Cited: 41

MP-Net: An efficient and precise multi-layer pyramid crop classification network for remote sensing images
Changhong Xu, Maofang Gao, Jingwen Yan, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108065-108065
Open Access | Times Cited: 14

Automatic extraction and 3D modeling of real road scenes using UAV imagery and deep learning semantic segmentation
Zhen Liu, Wenxiu Wu, Danyu Wang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 6

SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots
Zhenyu Xing, Zhenguo Zhang, Yunze Wang, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 5

Strategies in training deep learning models to extract building from multisource images with small training sample sizes
Dávid Abriha, Szilárd Szabó
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 1707-1724
Open Access | Times Cited: 11

Economic Fruit Forest Classification Based on Improved U-Net Model in UAV Multispectral Imagery
Chunxiao Wu, Wei Jia, Jianyu Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2500-2500
Open Access | Times Cited: 10

AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints
Yanjun Wang, Shaochun Li, Hengfan Cai, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109973-109973
Closed Access

Seeing without labels: A self-supervised approach for building segmentation in diverse Indian urban environments
Noopur Srivastava, Kavita Thakur, Kamal Jain
Remote Sensing Applications Society and Environment (2025), pp. 101510-101510
Closed Access

Identification of Salt Marsh Vegetation in the Yellow River Delta Using UAV Multispectral Imagery and Deep Learning
Xiaohui Bai, Changzhi Yang, Lei Fang, et al.
Drones (2025) Vol. 9, Iss. 4, pp. 235-235
Open Access

Attention-Enhanced Urban Fugitive Dust Source Segmentation in High-Resolution Remote Sensing Images
Xiaoqing He, Zhibao Wang, Lu Bai, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3772-3772
Open Access | Times Cited: 2

CXLSeg Dataset: Chest X-ray with Lung Segmentation
Wimukthi Nimalsiri, Mahela Hennayake, K. D. I. S. Rathnayake, et al.
(2023)
Closed Access | Times Cited: 6

A novel deep learning change detection approach for estimating spatiotemporal crop field variations from Sentinel-2 imagery
Neelam Dahiya, Gurwinder Singh, Dileep Kumar Gupta, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101259-101259
Closed Access | Times Cited: 2

A Fourier Frequency Domain Convolutional Neural Network for Remote Sensing Crop Classification Considering Global Consistency and Edge Specificity
Binbin Song, Songhan Min, Hui Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4788-4788
Open Access | Times Cited: 5

Orchard classification based on super-pixels and deep learning with sparse optical images
Jingbo Li, Guijun Yang, Hao Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108379-108379
Closed Access | Times Cited: 4

MDTrans: Multi‐scale and dual‐branch feature fusion network based on Swin Transformer for building extraction in remote sensing images
Kuo Diao, Jinlong Zhu, Guangjie Liu, et al.
IET Image Processing (2024) Vol. 18, Iss. 11, pp. 2930-2942
Open Access | Times Cited: 1

Spatiotemporal Evolution and Impact Mechanisms of Areca Palm Plantations in China (1987–2022)
Cai Wang, Zhaode Yin, Ruoyu Luo, et al.
Forests (2024) Vol. 15, Iss. 10, pp. 1679-1679
Open Access | Times Cited: 1

InDeandCoE: A framework based on multi-scale feature fusion and residual learning for interferometric SAR remote sensing image denoising and coherence estimation
Boyu Liu, Lingda Wu, Song Xiaorui, et al.
Displays (2023) Vol. 79, pp. 102496-102496
Closed Access | Times Cited: 3

SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGERY USING AN ENHANCED ENCODER-DECODER ARCHITECTURE
Nour Aburaed, Mina Al-Saad, Mohammed Q. Alkhatib, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. X-1/W1-2023, pp. 1015-1020
Open Access | Times Cited: 1

BOISO: Weight optimized U-Net architecture for segmentation of hyperspectral image
I. Bhuvaneshwarri, Andrzej Stateczny, Aruna Kumari Kokku, et al.
Research Square (Research Square) (2024)
Open Access

A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning
S. Nieto, Evelyn Mejia, Ricardo Villacis, et al.
Lecture notes in geoinformation and cartography (2024), pp. 147-158
Closed Access

ASCEND-UNet: An Improved UNet Configuration Optimized for Rural Settlements Mapping
Xinyu Zheng, Shengwei Pu, Xingyu Xue
Sensors (2024) Vol. 24, Iss. 17, pp. 5453-5453
Open Access

An AttSDNet Model for Multi-Scale Feature Perception Enhanced Remote Sensing Classification of Coastal Salt-marsh Wetlands
Dingfeng Yu, Lirong Ren, Chen Chen, et al.
Marine Environmental Research (2024) Vol. 204, pp. 106899-106899
Closed Access

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