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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.

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Showing 1-25 of 29 citing articles:

Transfer learning in environmental remote sensing
Yuchi Ma, Shuo Chen, Stefano Ermon, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113924-113924
Closed Access | Times Cited: 119
Prediction of antibiotic sorption in soil with machine learning and analysis of global antibiotic resistance risk
Jingrui Wang, Ruixing Huang, Youheng Liang, et al.
Journal of Hazardous Materials (2024) Vol. 466, pp. 133563-133563
Closed Access | Times Cited: 19
Dissolved Organic Carbon Estimation in Lakes: Improving Machine Learning with Data Augmentation on Fusion of Multi-Sensor Remote Sensing Observations
Seyed Babak Haji Seyed Asadollah, Ahmadreza Safaeinia, Sina Jarahizadeh, et al.
Water Research (2025) Vol. 277, pp. 123350-123350
Closed Access | Times Cited: 1
Estimation of water quality variables based on machine learning model and cluster analysis-based empirical model using multi-source remote sensing data in inland reservoirs, South China
Di Tian, Xinfeng Zhao, Lei Gao, et al.
Environmental Pollution (2023) Vol. 342, pp. 123104-123104
Closed Access | Times Cited: 17
Trends and drivers of dissolved organic carbon in major Arctic rivers
Mingxin Song, Jue Huang, Desong Zhao, et al.
Ecological Indicators (2025) Vol. 170, pp. 113081-113081
Open Access
A novel framework for river organic carbon retrieval through satellite data and machine learning
尚能 岩田, Anmeng Sha, Yi Luo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 221, pp. 109-123
Closed Access
A novel method for assessing water quality status using MODIS images: A case study of large lakes and reservoirs in China
Ke Xia, Taixia Wu, Xintao Li, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131545-131545
Closed Access | Times Cited: 4
Satellite retrievals of water quality for diverse inland waters from Sentinel-2 images: An example from Zhejiang Province, China
Yaqi Zhao, Xianqiang He, Shuping Pan, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104048-104048
Open Access | Times Cited: 4
Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data
Md. Abdullah Al Mamun, Xiao Yang
Ecological Informatics (2025), pp. 103087-103087
Open Access
Inferring Water Quality in the Songhua River Basin Using Random Forest Regression Based on Satellite Imagery and Geoinformation
Z. Yu, Hangnan Yu, Lan Li, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 61-61
Open Access
Machine learning enabled accurate prediction of structural and magnetic properties of cobalt ferrite
Ying Fang, Suraj Venkateshwaran Mullurkara, Keith M. Taddei, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
A Critical Review of Remote Sensing Methods for Inland Water Quality Monitoring: Progress, Limitations, and Future Perspectives
Mageswaran Raghul, P. Porchelvan
Water Air & Soil Pollution (2024) Vol. 235, Iss. 2
Closed Access | Times Cited: 3
Long-term spatiotemporal mapping in lacustrine environment by remote sensing:Review with case study, challenges, and future directions
Lai Lai, Yuchen Liu, Yuchao Zhang, et al.
Water Research (2024) Vol. 267, pp. 122457-122457
Closed Access | Times Cited: 3
Machine Learning Provides Opportunities to Recognize Greenhouse Gas Emissions from Water at a Large Scale
Peng Deng, Xiangang Hu, Mu Li
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 837-843
Closed Access | Times Cited: 8
Evaluating the capabilities of China's new satellite HJ-2 for monitoring chlorophyll a concentration in eutrophic lakes
Jianzhong Li, Yunmei Li, Yanhong Yu, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 126, pp. 103618-103618
Open Access | Times Cited: 7
Estimation of Dissolved Organic Carbon Using Sentinel-2 in the Eutrophic Lake Ebinur, China
Naixin Cao, Xingwen Lin, Changjiang Liu, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 252-252
Open Access | Times Cited: 2
Remote retrieval of dissolved organic carbon in rivers using a hyperspectral drone system
Xingjian Guo, Hao Liu, Zhong Pu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Urbanization influences dissolved organic matter characteristics but microbes affect greenhouse gas concentrations in lakes
Peng Deng, Qixing Zhou, Jiwei Luo, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169191-169191
Closed Access | Times Cited: 5
Risk assessment and spatio-temporal characteristics analysis of water bloom in three large-scale eutrophic reservoirs in Fujian Province, China
Haobin Meng, Jing Zhang, Zheng Zhen, et al.
Ecological Indicators (2024) Vol. 158, pp. 111539-111539
Open Access | Times Cited: 1
A long-term dissolved oxygen prediction model in aquaculture using transformer with a dynamic adaptive mechanism
Dashe Li, Jingzhe Hu, Mengdi Li, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125258-125258
Closed Access | Times Cited: 1
Unravelling nitrate transformation mechanisms in karst catchments through the coupling of high-frequency sensor data and machine learning
Xin Liu, Fu‐Jun Yue, Wei Wen Wong, et al.
Water Research (2024) Vol. 267, pp. 122507-122507
Closed Access | Times Cited: 1
Inversion of soil carbon, nitrogen, and phosphorus in the Yellow River Wetland of Shaanxi Province using field in situ hyperspectroscopy
Leichao Nie, Keying Qu, Lijuan Cui, et al.
Frontiers in Soil Science (2024) Vol. 4
Open Access
Remote sensing of rivers: applications for streamflow and carbon flux estimations
Jaclyn Gehring
(2024)
Open Access
Machine Learning Model for Prediction of Indicative Water Parameters on the Danube River Based on Satellite Data
Velibor Ilić, Milan Stojković, Zorica Dodevska, et al.
Lecture notes in networks and systems (2024), pp. 3-11
Closed Access
Characterizing Chromophoric Dissolved Organic Matter Spatio-Temporal Variability in North Andean Patagonian Lakes Using Remote Sensing Information and Environmental Analysis
A. Sánchez Valdivia, L.G. De Stefano, Gisela Cristiane Ferraro, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4063-4063
Open Access
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