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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:

Evaluation of typical methods for baseflow separation in the contiguous United States
Jiaxin Xie, Xiaomang Liu, Kaiwen Wang, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124628-124628
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Using Baseflow Ensembles for Hydrologic Hysteresis Characterization in Humid Basins of Southeastern China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
Water Resources Research (2024) Vol. 60, Iss. 4
Open Access | Times Cited: 25
Role of Groundwater in Sustaining Northern Himalayan Rivers
Yingying Yao, Chunmiao Zheng, Charles B. Andrews, et al.
Geophysical Research Letters (2021) Vol. 48, Iss. 10
Open Access | Times Cited: 78
Revealing temporal variation of baseflow and its underlying causes in the source region of the Yangtze River (China)
Guangdong Wu, Jianyun Zhang, Yunliang Li, et al.
Hydrology Research (2024) Vol. 55, Iss. 3, pp. 392-411
Open Access | Times Cited: 10
Interpretable baseflow segmentation and prediction based on numerical experiments and deep learning
Qiying Yu, Shi Chen, Yungang Bai, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121089-121089
Closed Access | Times Cited: 10
Atmospheric and Land Drivers of Streamflow Flash Droughts in India
Rajesh Singh, Vimal Mishra
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 4
Closed Access | Times Cited: 9
A hybrid deep learning approach for streamflow prediction utilizing watershed memory and process-based modeling
Bisrat Ayalew Yifru, Kyoung Jae Lim, Joo Hyun Bae, et al.
Hydrology Research (2024) Vol. 55, Iss. 4, pp. 498-518
Open Access | Times Cited: 9
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
Haley A. Canham, Belize Lane, C. B. Phillips, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 1, pp. 27-43
Open Access | Times Cited: 1
DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States
Parnian Ghaneei, Hamid Moradkhani
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Impact of climate change and human activities on the baseflow in a typical karst basin, Southwest China
Chongxun Mo, Yuli Ruan, Xianggui Xiao, et al.
Ecological Indicators (2021) Vol. 126, pp. 107628-107628
Open Access | Times Cited: 52
Determination of runoff coefficient (C) in catchments based on analysis of precipitation and flow events
Ronalton Evandro Machado, Taís Oliveira Cardoso, Matheus Mortene
International Soil and Water Conservation Research (2021) Vol. 10, Iss. 2, pp. 208-216
Open Access | Times Cited: 42
Baseflow Separation Using the Digital Filter Method: Review and Sensitivity Analysis
Taeuk Kang, Sangho Lee, Namjoo Lee, et al.
Water (2022) Vol. 14, Iss. 3, pp. 485-485
Open Access | Times Cited: 29
River ecological flow early warning forecasting using baseflow separation and machine learning in the Jiaojiang River Basin, Southeast China
Hao Chen, Saihua Huang, Yue‐Ping Xu, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163571-163571
Closed Access | Times Cited: 22
Can transfer learning improve hydrological predictions in the alpine regions?
Yingying Yao, Yufeng Zhao, Xin Li, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130038-130038
Closed Access | Times Cited: 21
Characterization of micropollutants in urban stormwater using high-resolution monitoring and machine learning
Daeun Yun, Daeho Kang, Kyung Hwa Cho, et al.
Water Research (2023) Vol. 235, pp. 119865-119865
Closed Access | Times Cited: 17
Assessing Efficacy of Baseflow Separation Techniques in a Himalayan River Basin, Northern India
Shyam Sundar Bhardwaj, Madan K. Jha, Bhumika Uniyal
Environmental Processes (2024) Vol. 11, Iss. 1
Closed Access | Times Cited: 7
Estimating Gridded Monthly Baseflow From 1981 to 2020 for the Contiguous US Using Long Short‐Term Memory (LSTM) Networks
Jiaxin Xie, Xiaomang Liu, Wei Tian, et al.
Water Resources Research (2022) Vol. 58, Iss. 8
Closed Access | Times Cited: 25
Vegetation dynamics regulate baseflow seasonal patterns of the Chaohe watershed in North China
Wenxu Cao, Qinghe Li, Hang Xu, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101797-101797
Open Access | Times Cited: 5
Significant Baseflow Reduction in the Sao Francisco River Basin
Murilo Cesar Lucas, Natalya Kublik, Dulce Buchala Bicca Rodrigues, et al.
Water (2020) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 39
A New Approach for Assessing Groundwater Recharge by Combining GRACE and Baseflow With Case Studies in Karst Areas of Southwest China
Zhiyong Huang, Pat J.‐F. Yeh, Jiu Jimmy Jiao, et al.
Water Resources Research (2023) Vol. 59, Iss. 2
Closed Access | Times Cited: 13
Water Resources in the Lancang-Mekong River Basin: Impact of Climate Change and Human Interventions

(2024)
Closed Access | Times Cited: 4
A new flow path: eDNA connecting hydrology and biology
Dawn URycki, Anish Kirtane, Rachel Aronoff, et al.
Wiley Interdisciplinary Reviews Water (2024) Vol. 11, Iss. 6
Open Access | Times Cited: 4
Critical role of groundwater discharge in sustaining streamflow in a glaciated alpine watershed, northeastern Tibetan Plateau
Xiaoyan Guo, Qi Feng, Zhenliang Yin, et al.
The Science of The Total Environment (2022) Vol. 822, pp. 153578-153578
Closed Access | Times Cited: 17
A Physically Based Model of a Two‐Pass Digital Filter for Separating Groundwater Runoff From Streamflow Time Series
S. Pozdniakov, Ping Wang, Sergey O. Grinevsky, et al.
Water Resources Research (2022) Vol. 58, Iss. 3
Closed Access | Times Cited: 17
Background concentration of atmospheric PM2.5 in the Beijing–Tianjin–Hebei urban agglomeration: Levels, variation trends, and influences of meteorology and emission
Shuang Gao, Jie Yu, Wen Yang, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 11, pp. 101583-101583
Closed Access | Times Cited: 17
Spring floods and their major influential factors in the upper reaches of Jinsha River basin during 2001–2020
Ying Yi, Shiyin Liu, Xianhe Zhang, et al.
Journal of Hydrology Regional Studies (2023) Vol. 45, pp. 101318-101318
Open Access | Times Cited: 10
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