OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data
Shanyu Zhou, Hermann Kaufmann, Niklas Bohn, et al.
Remote Sensing of Environment (2022) Vol. 281, pp. 113263-113263
Open Access | Times Cited: 24

Showing 24 citing articles:

Interactions between microplastics and contaminants: A review focusing on the effect of aging process
Hongwei Luo, Chaolin Tu, Dongqin He, et al.
The Science of The Total Environment (2023) Vol. 899, pp. 165615-165615
Closed Access | Times Cited: 61

Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter
Lonneke Goddijn‐Murphy, Victor Martínez-Vicente, Heidi M. Dierssen, et al.
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1770-1770
Open Access | Times Cited: 12

Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data
Ruiqi Du, Youzhen Xiang, Fucang Zhang, et al.
Agricultural Water Management (2024) Vol. 298, pp. 108856-108856
Open Access | Times Cited: 7

Conversion of polyethylene terephthalate waste into high-yield porous carbon adsorbent via pyrolysis of dipotassium terephthalate
М. Н. Ефимов, А. А. Васильев, D. G. Muratov, et al.
Waste Management (2023) Vol. 162, pp. 113-122
Closed Access | Times Cited: 16

Pixel-based mapping of open field and protected agriculture using constrained Sentinel-2 data
Daniele la Cecilia, Manu Tom, Christian Stamm, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2023) Vol. 8, pp. 100033-100033
Open Access | Times Cited: 13

Large-scale agricultural greenhouse extraction for remote sensing imagery based on layout attention network: A case study of China
Dingyuan Chen, Ailong Ma, Zhuo Zheng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 200, pp. 73-88
Closed Access | Times Cited: 12

Nondestructive optical and spectroscopic techniques combined with machine learning for identifying solid waste: A review
Yi‐Lin Shen, Dong-Ying Lan, Pinjing He, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118195-118195
Closed Access

Protected agriculture mapping at continental scale for highlighting hotspots of altered hydrological processes
Daniele la Cecilia, Francesca Despini
Remote Sensing Applications Society and Environment (2025), pp. 101509-101509
Open Access

A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning
Ahed Alboody, Nicolas Vandenbroucke, Alice Porebski, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3455-3455
Open Access | Times Cited: 10

A Standardized Procedure to Build a Spectral Library for Hazardous Chemicals Mixed in River Flow Using Hyperspectral Image
Yeonghwa Gwon, Dongsu Kim, Hojun You, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 477-477
Open Access | Times Cited: 9

A Novel Exposed Coal Index Combining Flat Spectral Shape and Low Reflectance
Xiaoquan Pan, Peng Zhang, Shanchuan Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Closed Access | Times Cited: 8

Remote sensing detection of plastic-mulched farmland using a temporal approach in machine learning: case study in tomato crops
Marlon Fernandes de Souza, Rubens Augusto Camargo Lamparelli, Murilo H. S. de Oliveira, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 2

Improving Satellite-Based Retrieval of Maize Leaf Chlorophyll Content by Joint Observation with UAV Hyperspectral Data
Siqi Yang, Ran Kang, Tianhe Xu, et al.
Drones (2024) Vol. 8, Iss. 12, pp. 783-783
Open Access | Times Cited: 2

Efficient plastic categorization for recycling and real-time annotated data collection with TensorFlow object detection model
Sathiyapoobalan Sundaralingam, Neela Ramanathan
Environmental Research Communications (2023) Vol. 5, Iss. 10, pp. 105005-105005
Open Access | Times Cited: 6

The need for a dedicated marine plastic litter satellite mission
Victor Martínez-Vicente
Nature Reviews Earth & Environment (2022) Vol. 3, Iss. 11, pp. 728-729
Closed Access | Times Cited: 8

Potential of Optical Spaceborne Sensors for the Differentiation of Plastics in the Environment
Toni Schmidt, Theres Kuester, Taylor Smith, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2020-2020
Open Access | Times Cited: 4

Spectral-Spatial Adversarial Multi-Domain Synthesis Network for Cross-Scene Hyperspectral Image Classification
Xi Chen, Lin Gao, Maojun Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 1

Can we use deep learning models to identify the functionality of plastics from space?
Shanyu Zhou, Lichao Mou, Yuansheng Hua, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103491-103491
Open Access | Times Cited: 3

A new framework for GEOBIA: accurate individual plant extraction and detection using high-resolution RGB data from UAVs
Kaile Yang, Zhangxi Ye, Huan Liu, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2599-2622
Open Access | Times Cited: 2

Function Assignment of Plastics based on Hyperspectral Satellite Images and High-Resolution Data Using Deep Learning Algorithms
Shanyu Zhou, Lichao Mou, Lixian Zhang, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 7257-7260
Closed Access

Page 1

Scroll to top