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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 novel weakly supervised semantic segmentation framework to improve the resolution of land cover product
Yujia Chen, Guo Zhang, Hao Cui, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 73-92
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

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: 11
Global high categorical resolution land cover mapping via weak supervision
Xinyi Tong, Runmin Dong, Xiao Xiang Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 535-549
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: 19
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: 7
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: 7
Training data in satellite image classification for land cover mapping: a review
Daniel Moraes, Manuel L. Campagnolo, Mário Caetano
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
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
Improving CNN-based semantic segmentation on structurally similar data using contrastive graph convolutional networks
Ling Chen, Zedong Tang, Hao Li
Pattern Recognition (2024) Vol. 155, pp. 110622-110622
Closed Access | Times Cited: 5
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
Weakly supervised land-cover classification of high-resolution images with low-resolution labels through optimized label refinement
Yang Tang, Guixiang Zhang, Jung Kuan Liu, et al.
International Journal of Remote Sensing (2025), pp. 1-25
Open Access
RSAM-Seg: A SAM-Based Model with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
Jie Zhang, Yunxin Li, Xubing Yang, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 590-590
Open Access
A Weakly Supervised and Self-Supervised Learning Approach for Semantic Segmentation of Land Cover in Satellite Images with National Forest Inventory Data
Daniel Moraes, Manuel L. Campagnolo, Mário Caetano
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 711-711
Open Access
Superpixel-aware credible dual-expert learning for land cover mapping using historical land cover product
Yujia Chen, Guo Zhang, Hao Cui, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 223, pp. 296-316
Closed Access
Efficient metric-resolution land cover mapping using open-access low resolution annotations with prototype learning and modified Segment Anything model
William Y. Shi, Haigang Sui, Changlun Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 19-41
Closed Access
A Comprehensive Review of Semantic Segmentation Methods for Land Use-Land Cover Mapping
Wiam Salhi, Bouchra Honnit, M. Saïdi, et al.
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2025), pp. 279-286
Closed Access
Integrating isolation forest and deep learning for reliability check of land vector patch types
Shengli Wang, Nanshan Zheng, Yihu Zhu, et al.
International Journal of Remote Sensing (2025), pp. 1-30
Closed Access
Generating national very high-resolution land cover product of france without any labels: A comparative study
Junshi Xia, Clifford Broni-Bediako, Naoto Yokoya
Remote Sensing Applications Society and Environment (2025), pp. 101542-101542
Closed Access
SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation
Junyan Ye, Qiyan Luo, Jinhua Yu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 27748-27757
Closed Access | Times Cited: 3
Unsupervised object-based spectral unmixing for subpixel mapping
Chengyuan Zhang, Qunming Wang, Peter M. Atkinson
Remote Sensing of Environment (2024) Vol. 318, pp. 114514-114514
Closed Access | Times Cited: 3
SegMind: Semisupervised Remote Sensing Image Semantic Segmentation With Masked Image Modeling and Contrastive Learning Method
Zhenghong Li, Hao Chen, Jiangjiang Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 6
Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification
Hao Cui, Guo Zhang, Yujia Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 207, pp. 74-91
Closed Access | Times Cited: 5
Pruning for image segmentation: Improving computational efficiency for large-scale remote sensing applications
Xianwei Lv, Claudio Persello, Wufan Zhao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 13-29
Open Access | Times Cited: 4
A New Technique for Impervious Surface Mapping and Its Spatio-Temporal Changes from Landsat and Sentinel-2 Images
Lizhong Hua, Haibo Wang, Huafeng Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7947-7947
Open Access | Times Cited: 4
EasySeg: an Error-Aware Domain Adaptation Framework for Remote Sensing Imagery Semantic Segmentation via Interactive Learning and Active Learning
Liangzhe Yang, Hao Chen, Anran Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 1
CloudSeg: A multi-modal learning framework for robust land cover mapping under cloudy conditions
Fang Xu, Yilei Shi, Wen Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 214, pp. 21-32
Closed Access | Times Cited: 1
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