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:

Improvement of streamflow simulation by combining physically hydrological model with deep learning methods in data-scarce glacial river basin
Chengde Yang, Min Xu, Shichang Kang, et al.
Journal of Hydrology (2023) Vol. 625, pp. 129990-129990
Closed Access | Times Cited: 20

Showing 20 citing articles:

Long-term streamflow forecasting in data-scarce regions: Insightful investigation for leveraging satellite-derived data, Informer architecture, and concurrent fine-tuning transfer learning
Fatemeh Ghobadi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Doosun Kang
Journal of Hydrology (2024) Vol. 631, pp. 130772-130772
Closed Access | Times Cited: 12

Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review
Bisrat Ayalew Yifru, Kyoung Jae Lim, Seoro Lee
Sustainability (2024) Vol. 16, Iss. 4, pp. 1376-1376
Open Access | Times Cited: 9

Streamflow abrupt change and the driving factors in glacierized basins of Tarim Basin, Northwest China
Chengde Yang, Min Xu, Shichang Kang, et al.
Advances in Climate Change Research (2024) Vol. 15, Iss. 1, pp. 75-89
Open Access | Times Cited: 5

A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
Malihe Danesh, Amin Gharehbaghi, Saeid Mehdizadeh, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 5

Estuary salinity prediction using machine learning: case study in the Hau estuary in Mekong River, Vietnam
Huu Duy Nguyen, Dinh Kha Dang, Quang‐Thanh Bui
Water Science & Technology Water Supply (2025)
Open Access

A global perspective on the development and application of glacio-hydrological model
Chengde Yang, Xin Wang, Shichang Kang, et al.
Journal of Hydrology (2025) Vol. 653, pp. 132797-132797
Closed Access

Predicting Ili River streamflow change and identifying the major drivers with a novel hybrid model
Shuang Liu, Aihua Long, Denghua Yan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101807-101807
Open Access | Times Cited: 3

An assessment of environmental impacts in mining areas of Paschim Bardhhaman district, West Bengal, India
Bijay Halder, Jatisankar Bandyopadhyay, Saptadeep Mukherjee
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 2

Multiple conceptual hydrological models for simulating streamflow in data-sparse river basins: an application of the Vietnamese Cau river basin
Tuan Diep Tran
Water Practice & Technology (2024) Vol. 19, Iss. 7, pp. 2944-2958
Closed Access | Times Cited: 1

Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models
Jing Yang, Fulong Chen, Aihua Long, et al.
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102034-102034
Open Access | Times Cited: 1

Runoff Simulation of the Kaidu River Basin Based on the Gr4j-6 and Gr4j-6-Lstm Models
Jing Yang, Fulong Chen, Aihua Long, et al.
(2024)
Closed Access

Improvement of City Rainfall Model Subcatchment Structure Based on Urban Hydrology Process
Jiayue Li, Guoru Huang, Wenjie Chen
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 2
Closed Access

Runoff Simulation of the Kaidu River Basin Based on the Gr4j-6 and Gr4j-6-Lstm Models
Jing Yang, Fulong Chen, Aihua Long, et al.
(2024)
Closed Access

Hybrid physically based and machine learning model to enhance high streamflow prediction
Sergio Ricardo López-Chacón, Fernando Salazar, Ernest Bladé
Hydrological Sciences Journal (2024)
Closed Access

Coupling the Glacio-hydrological Degree-day Model (GDM) with PCRaster for spatial dynamic modeling of Himalayan river basins
Kundan Lal Shrestha, Rijan Bhakta Kayastha, R. B. Kayastha
Proceedings of the International Association of Hydrological Sciences (2024) Vol. 387, pp. 25-31
Open Access

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