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:

Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models
Vinh Ngoc Tran, V. Y. Ivanov, Donghui Xu, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 17
Open Access | Times Cited: 9

Showing 9 citing articles:

Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections
Thanh‐Nhan‐Duc Tran, Son K., Binh Quang Nguyen, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024), pp. 1-16
Open Access | Times Cited: 36

Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI
Linh Nguyen Van, Vinh Ngoc Tran, Giang V. Nguyen, et al.
Ecological Informatics (2024) Vol. 81, pp. 102601-102601
Open Access | Times Cited: 9

Reconstructing Long-Term Daily Streamflow Data at the Discontinuous Monitoring Station in the Ungauged Transboundary Basin Using Machine Learning
Vinh Ngoc Tran, Thi Thuy Hang Nguyen, Hai Van Khuong, et al.
Water Resources Management (2025)
Closed Access

HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network
Van Tam Nguyen, Vinh Ngoc Tran, Hoang Tran, et al.
Ecological Informatics (2025) Vol. 85, pp. 102994-102994
Open Access

Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes
Vinh Ngoc Tran, V. Y. Ivanov, Jongho Kim
Advances in Water Resources (2023) Vol. 182, pp. 104569-104569
Open Access | Times Cited: 11

Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm
Vinh Ngoc Tran, Duc Dang Dinh, Binh Duy Huy Pham, et al.
Water Resources Management (2023) Vol. 38, Iss. 2, pp. 401-421
Closed Access | Times Cited: 5

Page 1

Scroll to top