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:

Land Cover Mapping with Convolutional Neural Networks Using Sentinel-2 Images: Case Study of Rome
Giulia Cecili, Paolo De Fioravante, Pasquale Dichicco, et al.
Land (2023) Vol. 12, Iss. 4, pp. 879-879
Open Access | Times Cited: 15

Showing 15 citing articles:

Application of Deep Learning in Multitemporal Remote Sensing Image Classification
Xinglu Cheng, Yonghua Sun, Wangkuan Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3859-3859
Open Access | Times Cited: 21

Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network
Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, José J. M. Machado, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1988-1988
Open Access

Influence of land cover on noise simulation output – A case study in Malmö, Sweden
Karolina Pantazatou, Kristoffer Mattisson, Per‐Ola Olsson, et al.
Noise Mapping (2025) Vol. 12, Iss. 1
Open Access

Assessing the spatial coherence of forest cover indicators from different data sources: A contribution to sustainable development reporting
Alessia D’Agata, Pavel Cudlín, Ioannis Vardopoulos, et al.
Ecological Indicators (2023) Vol. 158, pp. 111498-111498
Open Access | Times Cited: 10

A Framework for Fine-Grained Land-Cover Classification Using 10 m Sentinel-2 Images
Wenge Zhang, Xuan Yang, Zhanliang Yuan, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 390-390
Open Access | Times Cited: 3

Provision of land use and forest density maps in semi-arid areas of Iran using Sentinel-2 satellite images and vegetation indices
Saeedeh Eskandari, Seyed Kazem Bordbar
Advances in Space Research (2024)
Closed Access | Times Cited: 2

Sentinel-1 és Sentinel-2 felvételek belvízveszélyeztetettségi idősoros elemzése konvolúciós neurális hálózatokkal
Balázs Kajári, Boudewijn van Leeuwen
Geodézia és Kartográfia (2024) Vol. 76, Iss. 1, pp. 10-16
Open Access | Times Cited: 1

Prediction of Inland Excess Water Inundations Using Machine Learning Algorithms
Balázs Kajári, Zalán Tobak, Norbert Túri, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1267-1267
Open Access | Times Cited: 1

SkipResNet: Crop and Weed Recognition Based on the Improved ResNet
Wenyi Hu, Tian Chen, Chunjie Lan, et al.
Land (2024) Vol. 13, Iss. 10, pp. 1585-1585
Open Access | Times Cited: 1

Clustering Analysis of Integrated Rural Land for Three Industries Using Deep Learning and Artificial Intelligence
Qian Huang, Haibin Xia, Zhancheng Zhang
IEEE Access (2023) Vol. 11, pp. 110530-110543
Open Access | Times Cited: 3

ISPRA Land and Soil Monitoring, Mapping, and Assessment Activities
Michele Munafò, Paolo De Fioravante, Angela Cimini, et al.
Springer eBooks (2024), pp. 607-619
Closed Access

Ground Coverage Classification in UAV Image Using a Convolutional Neural Network Feature Map
Erika Maulidiya, Chastine Fatichah, Nanik Suciati, et al.
Journal of Information Systems Engineering and Business Intelligence (2024) Vol. 10, Iss. 2, pp. 206-216
Open Access

Land Cover Classification Based on Machine Learning and Deep Learning Methods Using Sentinel-2 Satellite Images: A Case Study of the Urban Area in West Tehran
Dana Saeedi, Ehsan Khankeshizadeh, Tayebe Managhebi, et al.
Deleted Journal (2024) Vol. 14, Iss. 2, pp. 55-69
Closed Access

Measuring climate action readiness in maintaining ecological resilience using satellite imagery and field research in Garang Watershed, Central Java, Indonesia
Bambang Sudarmanto, Suranto Suranto, Suntoro Suntoro, et al.
Biodiversitas Journal of Biological Diversity (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 1

Deep Learning For Land Cover Mapping Using Sentinel-2 Imagery: A Case Study At Greater Cairo, Egypt
Muhammad Salem, Naoki Tsurusaki
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 6748-6751
Closed Access | Times Cited: 1

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