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:

Retrieval of suspended sediment concentrations using remote sensing and machine learning methods: A case study of the lower Yellow River
Jinlong Hu, Chiyuan Miao, Xiangping Zhang, et al.
Journal of Hydrology (2023) Vol. 627, pp. 130369-130369
Closed Access | Times Cited: 11

Showing 11 citing articles:

Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest
Ram Proshad, Md. Abdur Rahim, Mahfuzur Rahman, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175746-175746
Closed Access | Times Cited: 5

Hydrological Research Evolution: A Large Language Model‐Based Analysis of 310,000 Studies Published Globally Between 1980 and 2023
Chiyuan Miao, Hu Jinlong, Hamid Moradkhani, et al.
Water Resources Research (2024) Vol. 60, Iss. 6
Closed Access | Times Cited: 5

Reduced sediment load and vegetation restoration leading to clearer water color in the Yellow River: Evidence from 38 years of Landsat observations
Ke Xia, Xin‐Tao Li, Taixia Wu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104369-104369
Closed Access

Application of deep learning in predicting suspended sediment concentration: A case study in Jiaozhou Bay, China
Jianbin Xie, Xingru Feng, Tianhai Gao, et al.
Marine Pollution Bulletin (2024) Vol. 201, pp. 116255-116255
Closed Access | Times Cited: 2

Intra-annual vegetation changes and spatial variation in China over the past two decades based on remote sensing and time-series clustering
Xi Cheng, Mingliang Luo, Ke Chen, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 2

Analysis of characteristic index and prediction of river bottom tearing scour in the Yellow River
Longfei Sun, Yanhui Liu, Yuanjian Wang, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 3, pp. 641-657
Open Access | Times Cited: 1

Analysis of the temporal and spatial evolution of turbidity in Tonle Sap Lake and its influencing factors
Tianle Zou, Kun Yang, Meie Pan, et al.
The Science of The Total Environment (2024) Vol. 943, pp. 173618-173618
Closed Access | Times Cited: 1

Estimation of flow resistance in natural rivers based on deep forest
Ruichuang Yang, Yang Peng, Hongwu Zhang, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access

Remote sensing as a support tool to map suspended sediment concentration over extended river reaches
Michael Nones, Chao Guo
Research Square (Research Square) (2024)
Closed Access

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