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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:

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest
Naoto Yokoya, Pedram Ghamisi, Junshi Xia, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 5, pp. 1363-1377
Open Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
İlke Demir, Krzysztof Koperski, David Lindenbaum, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2018), pp. 172-17209
Open Access | Times Cited: 885
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
Pedram Ghamisi, Richard Gloaguen, Peter M. Atkinson, et al.
IEEE Geoscience and Remote Sensing Magazine (2019) Vol. 7, Iss. 1, pp. 6-39
Open Access | Times Cited: 418
SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION
Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2019) Vol. IV-2/W7, pp. 153-160
Open Access | Times Cited: 264
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
Yonghao Xu, Bo Du, Liangpei Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019) Vol. 12, Iss. 6, pp. 1709-1724
Open Access | Times Cited: 259
Generating WUDAPT Level 0 data – Current status of production and evaluation
Benjamin Bechtel, Paul J. Alexander, Christoph Beck, et al.
Urban Climate (2018) Vol. 27, pp. 24-45
Open Access | Times Cited: 226
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
Danfeng Hong, Lianru Gao, Naoto Yokoya, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 5, pp. 4340-4354
Open Access | Times Cited: 211
Mapping Europe into local climate zones
Matthias Demuzere, Benjamin Bechtel, Ariane Middel, et al.
PLoS ONE (2019) Vol. 14, Iss. 4, pp. e0214474-e0214474
Open Access | Times Cited: 210
Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
Cheolhee Yoo, Daehyeon Han, Jungho Im, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 157, pp. 155-170
Closed Access | Times Cited: 181
A global map of local climate zones to support earth system modelling and urban-scale environmental science
Matthias Demuzere, Jonas Kittner, Alberto Martilli, et al.
Earth system science data (2022) Vol. 14, Iss. 8, pp. 3835-3873
Open Access | Times Cited: 167
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-22
Open Access | Times Cited: 112
Mapping local climate zones for cities: A large review
Fan Huang, Sida Jiang, Wenfeng Zhan, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113573-113573
Closed Access | Times Cited: 81
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-31
Open Access | Times Cited: 79
Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network
Chunping Qiu, Lichao Mou, Michael Schmitt, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 154, pp. 151-162
Open Access | Times Cited: 141
Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 158, pp. 35-49
Open Access | Times Cited: 140
Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution
Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia
Remote Sensing of Environment (2019) Vol. 228, pp. 129-143
Open Access | Times Cited: 139
CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 7, pp. 4349-4359
Open Access | Times Cited: 121
Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data
Shengjie Liu, Zhixin Qi, Xia Li, et al.
Remote Sensing (2019) Vol. 11, Iss. 6, pp. 690-690
Open Access | Times Cited: 118
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China
Shengjie Liu, Qian Shi
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 229-242
Closed Access | Times Cited: 117
So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]
Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 8, Iss. 3, pp. 76-89
Closed Access | Times Cited: 113
A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images
Zhengtao Li, Guokun Chen, Tianxu Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 847-858
Open Access | Times Cited: 108
Combining expert and crowd-sourced training data to map urban form and functions for the continental US
Matthias Demuzere, Steve Hankey, Gerald Mills, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 108
Global transferability of local climate zone models
Matthias Demuzere, Benjamin Bechtel, Gerald Mills
Urban Climate (2018) Vol. 27, pp. 46-63
Open Access | Times Cited: 99
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery
Tao Sun, Zonglin Di, Pengyu Che, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 7501-7510
Open Access | Times Cited: 99
Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks
Johannes Rosentreter, Ron Hagensieker, Björn Waske
Remote Sensing of Environment (2019) Vol. 237, pp. 111472-111472
Closed Access | Times Cited: 87
Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia
Bruno Adriano, Junshi Xia, Gerald Baier, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 886-886
Open Access | Times Cited: 84
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