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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:

Machine learning applications in river research: Trends, opportunities and challenges
Long Ho, Peter Goethals
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 11, pp. 2603-2621
Open Access | Times Cited: 24

Showing 24 citing articles:

A systematic review of industrial wastewater management: Evaluating challenges and enablers
Bikram Jit Singh, Ayon Chakraborty, Rippin Sehgal
Journal of Environmental Management (2023) Vol. 348, pp. 119230-119230
Open Access | Times Cited: 133
Artificial Intelligence and Machine Learning in Human Resource Management: Prospect and Future Trends
Sunil Basnet
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 1, pp. 281-287
Open Access | Times Cited: 9
Trends and Future Directions in Research on the Protection of Traditional Village Cultural Heritage in Urban Renewal
Jun Xia, Xuefei Gu, Tianru Fu, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1362-1362
Open Access | Times Cited: 7
Impact of salinity gradient, water pollution and land use types on greenhouse gas emissions from an urbanized estuary
Long Ho, Matti Barthel, Diego Panique-Casso, et al.
Environmental Pollution (2023) Vol. 336, pp. 122500-122500
Open Access | Times Cited: 13
Realising the promise of large data and complex models
Rachel S. McCrea, Ruth King, Laura J. Graham, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 1, pp. 4-11
Open Access | Times Cited: 12
Predictive modeling of nitrogen and phosphorus concentrations in rivers using a machine learning framework: A case study in an urban-rural transitional area in Wenzhou China
Jingyuan Xue, Can Yuan, Xiaoliang Ji, et al.
The Science of The Total Environment (2023) Vol. 910, pp. 168521-168521
Open Access | Times Cited: 10
Unravelling CH4 and N2O dynamics in tidal wetlands using natural abundance isotopes and functional genes
Long Ho, Kim Pham, Matti Barthel, et al.
Soil Biology and Biochemistry (2024) Vol. 196, pp. 109497-109497
Closed Access | Times Cited: 2
Application of machine learning in river water quality management: a review
Sanja Cojbasic, Sonja Dmitrašinović, Marija Kostic, et al.
Water Science & Technology (2023) Vol. 88, Iss. 9, pp. 2297-2308
Open Access | Times Cited: 7
Unravelling spatiotemporal N2O dynamics in an urbanized estuary system using natural abundance isotopes
Long Ho, Matti Barthel, Stephen J. Harris, et al.
Water Research (2023) Vol. 247, pp. 120771-120771
Open Access | Times Cited: 7
Rapid environmental flow assessment for sustainable water resource management in Tanzania's Lower Rufiji River Basin: A scoping review
Offoro N. Kimambo, Winfred Mbungu, G.D. Massawe, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22509-e22509
Open Access | Times Cited: 7
Integrating Open-Source Datasets to Analyze the Transboundary Water–Food–Energy–Climate Nexus in Central Asia
Jan De Keyser, Daniel S. Hayes, Beatrice Marti, et al.
Water (2023) Vol. 15, Iss. 19, pp. 3482-3482
Open Access | Times Cited: 5
Modeling greenhouse gas emissions from riverine systems: A review
Diego Panique-Casso, Peter Goethals, Long Ho
Water Research (2023) Vol. 250, pp. 121012-121012
Open Access | Times Cited: 5
Hydrological dynamics of the Kalisindh and Parbati Rivers: An integrated analysis in the context of the Eastern Rajasthan Canal Project (ERCP)
Saurabh Singh, Suraj Kumar Singh, Shruti Kanga, et al.
Results in Engineering (2024) Vol. 21, pp. 101960-101960
Open Access | Times Cited: 1
An automated machine learning approach for detecting anomalous peak patterns in time series data from a research watershed in the northeastern United States critical zone
Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100543-100543
Open Access | Times Cited: 1
Priority Setting and Resource Allocation in Coastal Local Government Marine Regulatory Reform: Application of Machine Learning in Resource Optimization
Yingying Tian, Qi Wang
Water (2024) Vol. 16, Iss. 11, pp. 1544-1544
Open Access | Times Cited: 1
State of continental discharge estimation and modelling: Challenges and opportunities for Africa
Komlavi Akpoti, Kirubel Mekonnen, Mansoor Leh, et al.
Hydrological Sciences Journal (2024)
Open Access | Times Cited: 1
Global patterns and drivers of lead concentration in inland waters
Shuyuan Wei, Emilio Berti, Diting Ma, et al.
Journal of Hazardous Materials (2023) Vol. 460, pp. 132455-132455
Closed Access | Times Cited: 2
A random forest machine learning model to detect fluvial hazards
Marco Gava, Pascale M. Biron, Thomas Buffin‐Bélanger
River Research and Applications (2024)
Open Access
Remote sensing of rivers: applications for streamflow and carbon flux estimations
Jaclyn Gehring
(2024)
Open Access
Regulating greenhouse gas dynamics in tidal wetlands: Impacts of salinity gradients and water pollution
Long Ho, Matti Barthel, Kim Pham, et al.
Journal of Environmental Management (2024) Vol. 364, pp. 121427-121427
Closed Access
Determination of River Hydromorphological Features in Low-Land Rivers from Aerial Imagery and Direct Measurements Using Machine Learning Algorithms
Vytautas Akstinas, Andrius Kriščiūnas, Arminas Šidlauskas, et al.
Water (2022) Vol. 14, Iss. 24, pp. 4114-4114
Open Access | Times Cited: 2
Decision Support Framework for Optimal Reservoir Operation to Mitigate Cyanobacterial Blooms in Rivers
Jongchan Kim, Andréja Jonoski, Dimitri Solomatine, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 12789-12789
Open Access
Selection of Hydrological Variables to Forecast Shoaling with Xgb
Magdalena Asborno, Jacob Broders, Kenneth Ned Mitchell, et al.
(2023)
Closed Access
Diagnosis of Schizophrenia from EEG signals Using ML Algorithms
Tariq Qayyum, Assadullah Tariq, Mohamed Adel Serhani, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 2564-2570
Closed Access
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