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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:

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
Thorsten Hoeser, Claudia Kuenzer
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1667-1667
Open Access | Times Cited: 292

Showing 1-25 of 292 citing articles:

Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Teja Kattenborn, Jens Leitloff, Felix Schiefer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 24-49
Open Access | Times Cited: 1120
A review of deep learning methods for semantic segmentation of remote sensing imagery
Xiaohui Yuan, Jianfang Shi, Lichuan Gu
Expert Systems with Applications (2020) Vol. 169, pp. 114417-114417
Closed Access | Times Cited: 517
A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5
Bin Yan, Pan Fan, Xiaoyan Lei, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1619-1619
Open Access | Times Cited: 461
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives
Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, et al.
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 9, Iss. 4, pp. 143-172
Open Access | Times Cited: 227
Transformer and CNN Hybrid Deep Neural Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Cheng Zhang, Wanshou Jiang, Yuan Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-20
Closed Access | Times Cited: 210
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review
Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2450-2450
Open Access | Times Cited: 200
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications
Thorsten Hoeser, Felix Bachofer, Claudia Kuenzer
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3053-3053
Open Access | Times Cited: 146
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 146
Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities
Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 172-200
Open Access | Times Cited: 88
Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review
Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2014-2014
Open Access | Times Cited: 75
Remote Sensing Object Detection in the Deep Learning Era—A Review
Shengxi Gui, Shuang Song, Rongjun Qin, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 327-327
Open Access | Times Cited: 51
Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning
Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1463-1463
Open Access | Times Cited: 44
A Systematic Review of Individual Tree Crown Detection and Delineation with Convolutional Neural Networks (CNN)
Haotian Zhao, Justin Morgenroth, Grant D. Pearse, et al.
Current Forestry Reports (2023) Vol. 9, Iss. 3, pp. 149-170
Open Access | Times Cited: 41
Looking Closer at the Scene: Multiscale Representation Learning for Remote Sensing Image Scene Classification
Qi Wang, Wei Huang, Zhitong Xiong, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 33, Iss. 4, pp. 1414-1428
Closed Access | Times Cited: 135
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning
Romain Neuville, Jordan Bates, François Jonard
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 352-352
Open Access | Times Cited: 99
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images
Hamidreza Hosseinpour, Farhad Samadzadegan, Farzaneh Dadrass Javan
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 184, pp. 96-115
Open Access | Times Cited: 98
Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities
Saheba Bhatnagar, Laurence Gill, Bidisha Ghosh
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2602-2602
Open Access | Times Cited: 97
Skin cancer disease images classification using deep learning solutions
Maad M. Mijwil
Multimedia Tools and Applications (2021)
Closed Access | Times Cited: 95
Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery
Jonathan V. Solórzano, Jean‐François Mas, Yan Gao, et al.
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3600-3600
Open Access | Times Cited: 95
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 2: Recommendations and Best Practices
Aaron E. Maxwell, Timothy A. Warner, Luis Andrés Guillén
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2591-2591
Open Access | Times Cited: 69
Multiscale Feature Learning by Transformer for Building Extraction From Satellite Images
Xin Chen, Chunping Qiu, Wenyue Guo, et al.
IEEE Geoscience and Remote Sensing Letters (2022) Vol. 19, pp. 1-5
Closed Access | Times Cited: 66
A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
Mariel Dirscherl, A.J. Dietz, Christof Kneisel, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 197-197
Open Access | Times Cited: 61
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries
Lars T. Waser‬, Marius Rüetschi, Achilleas Psomas, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 180, pp. 209-226
Open Access | Times Cited: 60
Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2416-2416
Open Access | Times Cited: 58
Land-surface parameters for spatial predictive mapping and modeling
Aaron E. Maxwell, Charles M. Shobe
Earth-Science Reviews (2022) Vol. 226, pp. 103944-103944
Open Access | Times Cited: 57
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