Open Access Helper

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:

Key Factors Affecting Temporal Variability in Stream Water Quality
Danlu Guo, Anna Lintern, J. Angus Webb, et al.
Water Resources Research (2018) Vol. 55, Iss. 1, pp. 112-129
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques
Yanlai Zhou
Journal of Hydrology (2020) Vol. 589, pp. 125164-125164
Open Access | Times Cited: 152
A sophisticated model for rating water quality
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
The Science of The Total Environment (2023) Vol. 868, pp. 161614-161614
Open Access | Times Cited: 72
Temperature outweighs light and flow as the predominant driver of dissolved oxygen in US rivers
Wei Zhi, Wenyu Ouyang, Chaopeng Shen, et al.
Nature Water (2023) Vol. 1, Iss. 3, pp. 249-260
Closed Access | Times Cited: 72
Australian water quality trends over two decades show deterioration in the Great Barrier Reef region and recovery in the Murray-Darling Basin
Danlu Guo, Qian Zhang, Camille Minaudo, et al.
Communications Earth & Environment (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 2
Modeling Water Quality in Watersheds: From Here to the Next Generation
Baihua Fu, Jeffery S. Horsburgh, Anthony J. Jakeman, et al.
Water Resources Research (2020) Vol. 56, Iss. 11
Open Access | Times Cited: 84
Climate Controls on River Chemistry
Li Li, Bryn Stewart, Wei Zhi, et al.
Earth s Future (2022) Vol. 10, Iss. 6
Open Access | Times Cited: 57
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
Charuleka Varadharajan, Alison P. Appling, Bhavna Arora, et al.
Hydrological Processes (2022) Vol. 36, Iss. 4
Open Access | Times Cited: 53
Hybrid modelling of water resource recovery facilities: status and opportunities
Mariane Yvonne Schneider, Ward Quaghebeur, Sina Borzooei, et al.
Water Science & Technology (2022)
Open Access | Times Cited: 46
Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Environmental Research (2023) Vol. 242, pp. 117755-117755
Open Access | Times Cited: 38
Large-scale prediction of stream water quality using an interpretable deep learning approach
Hang Zheng, Yueyi Liu, Wenhua Wan, et al.
Journal of Environmental Management (2023) Vol. 331, pp. 117309-117309
Closed Access | Times Cited: 27
A comprehensive review of water quality indices for lotic and lentic ecosystems
Lazarus Katlego Mogane, Tracy Masebe, Titus A.M. Msagati, et al.
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 8
Open Access | Times Cited: 24
A data-based predictive model for spatiotemporal variability in stream water quality
Danlu Guo, Anna Lintern, J. Angus Webb, et al.
Hydrology and earth system sciences (2020) Vol. 24, Iss. 2, pp. 827-847
Open Access | Times Cited: 56
Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals
Qian Zhang, Gary W. Shenk, G. Bhatt, et al.
Ecological Indicators (2024) Vol. 158, pp. 111357-111357
Open Access | Times Cited: 6
Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review
Emily A. Ellis, George H. Allen, Ryan Riggs, et al.
Wiley Interdisciplinary Reviews Water (2024) Vol. 11, Iss. 4
Open Access | Times Cited: 6
A review of data-driven modelling in drinking water treatment
Atefeh Aliashrafi, Yirao Zhang, Hannah Groenewegen, et al.
Reviews in Environmental Science and Bio/Technology (2021) Vol. 20, Iss. 4, pp. 985-1009
Closed Access | Times Cited: 39
Hysteresis Patterns of Watershed Nitrogen Retention and Loss Over the Past 50 years in United States Hydrological Basins
Michelle Newcomer, Nicholas Bouskill, Haruko Wainwright, et al.
Global Biogeochemical Cycles (2021) Vol. 35, Iss. 4
Open Access | Times Cited: 37
Decoding river pollution trends and their landscape determinants in an ecologically fragile karst basin using a machine learning model
Guoyu Xu, Hongxiang Fan, David M. Oliver, et al.
Environmental Research (2022) Vol. 214, pp. 113843-113843
Open Access | Times Cited: 24
Spatial and temporal characteristics of microbial communities in the Seine river in the greater Paris area under anthropogenic perturbation
Sadia Bagagnan, Sabrina Guérin-Rechdaoui, Vincent Rocher, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30614-e30614
Open Access | Times Cited: 5
A review of spatial statistical approaches to modeling water quality
Janardan Mainali, Heejun Chang, Yongwan Chun
Progress in Physical Geography Earth and Environment (2019) Vol. 43, Iss. 6, pp. 801-826
Closed Access | Times Cited: 41
A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments
Shuci Liu, Dongryeol Ryu, J. Angus Webb, et al.
Hydrology and earth system sciences (2021) Vol. 25, Iss. 5, pp. 2663-2683
Open Access | Times Cited: 27
Machine learning approach towards explaining water quality dynamics in an urbanised river
Benjamin Schäfer, Christian Beck, Hefin Rhys, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 19
The relative importance of soil moisture deficit, land use intensity and fertiliser spreading regulations for stream water quality in agricultural catchments
Maëlle Fresne, Phil Jordan, Rachel Cassidy
Journal of Environmental Management (2025) Vol. 377, pp. 124704-124704
Closed Access
Modelling of Total Phosphorus and Nitrate Using a Travel Time Approach in the Duck River Catchment, Australia
Zahra Riazi, Andrew W. Western
Hydrological Processes (2025) Vol. 39, Iss. 3
Open Access
Temporal and Spatial Feature Extraction using Graph Neural Networks for Multi-Point Water Quality Prediction in River Network Areas
Hang Wan, Long Xiang, Yanpeng Cai, et al.
Water Research (2025), pp. 123561-123561
Closed Access
Enhanced Water Quality Prediction: Application of Deep Neural Networks and Adaptive Neuro-Fuzzy Inference Systems to Assess Calcium Concentration
Moussa Attia, Zied Driss, Hany F. Abd‐Elhamid, et al.
Desalination and Water Treatment (2025), pp. 101193-101193
Open Access
Page 1 - Next Page

Scroll to top