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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 coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images
Yinxia Cao, Xin Huang
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 188, pp. 157-176
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data
Zhuohong Li, Wei He, Mofan Cheng, et al.
Earth system science data (2023) Vol. 15, Iss. 11, pp. 4749-4780
Open Access | Times Cited: 63
SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data
Zhuohong Li, Wei He, Mofan Cheng, et al.
(2023)
Open Access | Times Cited: 41
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Jian Cheng, Changjian Deng, Yanzhou Su, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 1-34
Closed Access | Times Cited: 19
SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
Xianping Ma, Qianqian Wu, Xingyu Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Open Access | Times Cited: 17
Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images
Mengmeng Li, Long Jiang, Alfred Stein, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 200, pp. 24-40
Closed Access | Times Cited: 34
A Weakly Supervised Semantic Segmentation Approach for Damaged Building Extraction From Postearthquake High-Resolution Remote-Sensing Images
Wenfan Qiao, Li Shen, Jicheng Wang, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 25
Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level Supervision
Maofan Zhao, Xinli Hu, Linlin Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 12
Weakly-semi supervised extraction of rooftop photovoltaics from high-resolution images based on segment anything model and class activation map
Ruiqing Yang, Guojin He, Ranyu Yin, et al.
Applied Energy (2024) Vol. 361, pp. 122964-122964
Closed Access | Times Cited: 11
An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples
Yongjun He, Jinfei Wang, Ying Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 207, pp. 338-358
Closed Access | Times Cited: 10
M 2 Caps: learning multi-modal capsules of optical and SAR images for land cover classification
Haodi Zhang, Anzhu Yu, Kuiliang Gao, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Deep-Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey
Liwei Huang, Bitao Jiang, Shouye Lv, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 8370-8396
Open Access | Times Cited: 18
A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images
Jialin Sun, Shuai Yan, Xiaochuang Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104085-104085
Open Access | Times Cited: 6
Learning without Exact Guidance: Updating Large-Scale High-Resolution Land Cover Maps from Low-Resolution Historical Labels
Zhuohong Li, Wei He, Jiepan Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 64, pp. 27717-27727
Closed Access | Times Cited: 6
Superpixel Consistency Saliency Map Generation for Weakly Supervised Semantic Segmentation of Remote Sensing Images
Xiaopeng Zeng, Tengfei Wang, Zhe Dong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 14
A multi-task learning method for extraction of newly constructed areas based on bi-temporal hyperspectral images
Lilin Tu, Xin Huang, Jiayi Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 308-323
Closed Access | Times Cited: 5
Towards robust classification of multi-view remote sensing images with partial data availability
Maofan Zhao, Qingyan Meng, Lifeng Wang, et al.
Remote Sensing of Environment (2024) Vol. 306, pp. 114112-114112
Closed Access | Times Cited: 5
A novel weakly-supervised method based on the segment anything model for seamless transition from classification to segmentation: A case study in segmenting latent photovoltaic locations
Ruiqing Yang, Guojin He, Ranyu Yin, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103929-103929
Open Access | Times Cited: 5
Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images
Sijie Liu, Cao Shi, Lu Xia, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 261-261
Open Access
Accurate semantic segmentation of very high-resolution remote sensing images considering feature state sequences: From benchmark datasets to urban applications
Zijie Wang, Jizheng Yi, Aibin Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 824-840
Closed Access
A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification from AI4Arctic Sea Ice Challenge Dataset
Xinwei Chen, Muhammed Patel, Linlin Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-15
Closed Access
Weakly Supervised Semantic Segmentation of Remote Sensing Images Using Siamese Affinity Network
Zheng Chen, Yuheng Lian, Jing Bai, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 808-808
Open Access
ITER: Image-to-Pixel Representation for Weakly Supervised HSI Classification
Jiaqi Yang, Bo Du, Di Wang, et al.
IEEE Transactions on Image Processing (2023) Vol. 33, pp. 257-272
Closed Access | Times Cited: 11
A Weakly Supervised Semantic Segmentation Framework for Medium-resolution Forest Classification with Noisy Labels and GF-1 WFV Images
Xueli Peng, Guojin He, Guizhou Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Open Access | Times Cited: 4
Pixel–Scene–Pixel–Object Sample Transferring: A Labor-Free Approach for High-Resolution Plastic Greenhouse Mapping
Peng Zhang, Shanchuan Guo, Wei Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 10
Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction
Jicheng Wang, Xin Yan, Li Shen, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1432-1432
Open Access | Times Cited: 7
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