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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:

Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network
François Waldner, Foivos I. Diakogiannis
Remote Sensing of Environment (2020) Vol. 245, pp. 111741-111741
Open Access | Times Cited: 225

Showing 1-25 of 225 citing articles:

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
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research
Maryam Ouhami, Adel Hafiane, Youssef Es-Saady, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2486-2486
Open Access | Times Cited: 171
A Review of Deep Learning in Multiscale Agricultural Sensing
Dashuai Wang, Wujing Cao, Fan Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 559-559
Open Access | Times Cited: 137
Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images
Haifeng Li, Yi Li, Guo Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Open Access | Times Cited: 126
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
Coastline detection in satellite imagery: A deep learning approach on new benchmark data
Catherine Seale, Thomas Redfern, Paul Chatfield, et al.
Remote Sensing of Environment (2022) Vol. 278, pp. 113044-113044
Open Access | Times Cited: 76
Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review
Hao-Ran Qu, Wen‐Hao Su
Agronomy (2024) Vol. 14, Iss. 2, pp. 363-363
Open Access | Times Cited: 20
Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution
Tzu‐Hsin Karen Chen, Chunping Qiu, Michael Schmitt, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112096-112096
Open Access | Times Cited: 91
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot, Loïc Landrieu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 82
Multitask Semantic Boundary Awareness Network for Remote Sensing Image Segmentation
Aijin Li, Licheng Jiao, Hao Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Closed Access | Times Cited: 77
Looking for Change? Roll the Dice and Demand Attention
Foivos I. Diakogiannis, François Waldner, Peter Caccetta
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3707-3707
Open Access | Times Cited: 65
Automated delineation of agricultural field boundaries from Sentinel-2 images using recurrent residual U-Net
Huanxue Zhang, Mingxu Liu, Yuji Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102557-102557
Open Access | Times Cited: 63
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification
Yuan Yuan, Lei Lin, Qingshan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 106, pp. 102651-102651
Open Access | Times Cited: 61
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Esther Shupel Ibrahim, Philippe Rufin, Leon Nill, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3523-3523
Open Access | Times Cited: 59
Deep learning for processing and analysis of remote sensing big data: a technical review
Xin Zhang, Yanan Zhou, Jiancheng Luo
Big Earth Data (2021) Vol. 6, Iss. 4, pp. 527-560
Open Access | Times Cited: 57
Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images
Long Jiang, Mengmeng Li, Xiaoqin Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102871-102871
Open Access | Times Cited: 50
Agricultural Field Extraction with Deep Learning Algorithm and Satellite Imagery
Alireza Sharifi, Hadi Mahdipour, Elahe Moradi, et al.
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 2, pp. 417-423
Closed Access | Times Cited: 46
GANmapper: geographical data translation
Abraham Noah Wu, Filip Biljecki
International Journal of Geographical Information Science (2022) Vol. 36, Iss. 7, pp. 1394-1422
Open Access | Times Cited: 41
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
Improving agricultural field parcel delineation with a dual branch spatiotemporal fusion network by integrating multimodal satellite data
Zhiwen Cai, Qiong Hu, Xinyu Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 205, pp. 34-49
Closed Access | Times Cited: 31
A methods guideline for deep learning for tabular data in agriculture with a case study to forecast cereal yield
Jonathan Richetti, Foivos I. Diakogianis, Asher Bender, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107642-107642
Open Access | Times Cited: 25
BSNet: Boundary-semantic-fusion network for farmland parcel mapping in high-resolution satellite images
Wang Shunying, Yanan Zhou, Yang Xianzeng, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107683-107683
Closed Access | Times Cited: 24
Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
Tej Bahadur Shahi, Sweekar Dahal, Chiranjibi Sitaula, et al.
Drones (2023) Vol. 7, Iss. 10, pp. 624-624
Open Access | Times Cited: 24
Toward agricultural cultivation parcels extraction in the complex mountainous areas using prior information and deep learning
Jing Zhang, Tianjun Wu, Jiancheng Luo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-14
Closed Access | Times Cited: 1
A large-scale VHR parcel dataset and a novel hierarchical semantic boundary-guided network for agricultural parcel delineation
Hang Zhao, Bingfang Wu, Miao Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 221, pp. 1-19
Closed Access | Times Cited: 1
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