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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 Deep Learning Model for Automatic Plastic Mapping Using Unmanned Aerial Vehicle (UAV) Data
Gordana Jakovljević, Miro Govedarica, María Flor Álvarez Taboada
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1515-1515
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

UAV remote sensing applications in marine monitoring: Knowledge visualization and review
Zongyao Yang, Xueying Yu, Simon Dedman, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 155939-155939
Closed Access | Times Cited: 181
Deep learning for detecting macroplastic litter in water bodies: A review
Tianlong Jia, Zoran Kapelan, Rinze de Vries, et al.
Water Research (2023) Vol. 231, pp. 119632-119632
Open Access | Times Cited: 60
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review
Mercedes Vélez-Nicolás, Santiago García-López, L. Barbero, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1359-1359
Open Access | Times Cited: 83
A deep learning model for predicting river flood depth and extent
Hossein Hosseiny
Environmental Modelling & Software (2021) Vol. 145, pp. 105186-105186
Closed Access | Times Cited: 81
Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R
Odei Garcia‐Garin, Toni Monleón-Getino, Pere López-Brosa, et al.
Environmental Pollution (2021) Vol. 273, pp. 116490-116490
Open Access | Times Cited: 77
MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data
Katerina Kikaki, Ioannis Kakogeorgiou, Paraskevi Mikeli, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262247-e0262247
Open Access | Times Cited: 68
Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast
Umberto Andriolo, Gil Gonçalves, Paula Sobral, et al.
Marine Pollution Bulletin (2021) Vol. 169, pp. 112490-112490
Closed Access | Times Cited: 66
Coastal and marine plastic litter monitoring using remote sensing: A review
Bijeesh Kozhikkodan Veettil, Hồng Quân Nguyễn, Leon T. Hauser, et al.
Estuarine Coastal and Shelf Science (2022) Vol. 279, pp. 108160-108160
Closed Access | Times Cited: 53
A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle
Vishal Verma, Deepali Gupta, Sheifali Gupta, et al.
Symmetry (2022) Vol. 14, Iss. 5, pp. 960-960
Open Access | Times Cited: 49
Mapping and quantifying pelagic Sargassum in the Atlantic Ocean using multi-band medium-resolution satellite data and deep learning
Chuanmin Hu, Shuai Zhang, Brian B. Barnes, et al.
Remote Sensing of Environment (2023) Vol. 289, pp. 113515-113515
Open Access | Times Cited: 34
Artificial intelligence-empowered collection and characterization of microplastics: A review
Pengwei Guo, Yuhuan Wang, Parastoo Moghaddamfard, et al.
Journal of Hazardous Materials (2024) Vol. 471, pp. 134405-134405
Closed Access | Times Cited: 14
U-Net Convolutional Networks for Mining Land Cover Classification Based on High-Resolution UAV Imagery
Tuan Linh Giang, Kinh Bac Dang, Quang Toan Le, et al.
IEEE Access (2020) Vol. 8, pp. 186257-186273
Open Access | Times Cited: 69
Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam
Kinh Bac Dang, Manh Ha Nguyen, Đức Anh Nguyễn, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3270-3270
Open Access | Times Cited: 65
Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images
Silvia Merlino, Marco Paterni, Marina Locritani, et al.
Water (2021) Vol. 13, Iss. 23, pp. 3349-3349
Open Access | Times Cited: 54
Drones for litter mapping: An inter-operator concordance test in marking beached items on aerial images
Umberto Andriolo, Gil Gonçalves, Nelson Rangel-Buitrago, et al.
Marine Pollution Bulletin (2021) Vol. 169, pp. 112542-112542
Closed Access | Times Cited: 50
Detection of River Plastic Using UAV Sensor Data and Deep Learning
Nisha Maharjan, Hiroyuki Miyazaki, Bipun Man Pati, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3049-3049
Open Access | Times Cited: 39
Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: A review
Nina Gnann, Björn Baschek, Thomas A. Ternes
Water Research (2022) Vol. 222, pp. 118902-118902
Open Access | Times Cited: 37
Panoptic Segmentation Meets Remote Sensing
Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Júnior, Cristiano Rosa e Silva, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 965-965
Open Access | Times Cited: 34
UAV-Based Multi-Sensor Data Fusion for Urban Land Cover Mapping Using a Deep Convolutional Neural Network
Ahmed Elamin, Ahmed El‐Rabbany
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4298-4298
Open Access | Times Cited: 32
UAV Approach for Detecting Plastic Marine Debris on the Beach: A Case Study in the Po River Delta (Italy)
Yuri Taddia, Corinne Corbau, Joana Buoninsegni, et al.
Drones (2021) Vol. 5, Iss. 4, pp. 140-140
Open Access | Times Cited: 39
Detecting stranded macro-litter categories on drone orthophoto by a multi-class Neural Network
Luís Pinto, Umberto Andriolo, Gil Gonçalves
Marine Pollution Bulletin (2021) Vol. 169, pp. 112594-112594
Closed Access | Times Cited: 35
Using artificial intelligence to support marine macrolitter research: A content analysis and an online database
Dimitris V. Politikos, Argyro Adamopoulou, George Petasis, et al.
Ocean & Coastal Management (2022) Vol. 233, pp. 106466-106466
Closed Access | Times Cited: 28
The Diversity of Artificial Intelligence Applications in Marine Pollution: A Systematic Literature Review
Ning Jia, Shufen Pang, Zainal Arifin, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 7, pp. 1181-1181
Open Access | Times Cited: 6
Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network
Fan Zhao, Yongying Liu, Jiaqi Wang, et al.
Marine Pollution Bulletin (2024) Vol. 209, pp. 117030-117030
Open Access | Times Cited: 4
Remote and in situ devices for the assessment of marine contaminants of emerging concern and plastic debris detection
Marinella Farré
Current Opinion in Environmental Science & Health (2020) Vol. 18, pp. 79-94
Open Access | Times Cited: 29
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