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:
Instantaneous physical rainfall–runoff prediction technique using a power–law relationship between time to peak and peak flow of an instantaneous unit hydrograph and the rainfall excess intensity
Minyeob Jeong, Dae‐Hong Kim
Journal of Hydroinformatics (2023) Vol. 25, Iss. 2, pp. 415-431
Open Access | Times Cited: 7
Minyeob Jeong, Dae‐Hong Kim
Journal of Hydroinformatics (2023) Vol. 25, Iss. 2, pp. 415-431
Open Access | Times Cited: 7
Showing 7 citing articles:
Flood Prediction in an Ungauged Watershed: A Case Study of the Naengcheon Watershed, Korea
Minyeob Jeong, Hyun Seung Kim, Dae‐Hong Kim
KSCE Journal of Civil Engineering (2025), pp. 100229-100229
Open Access
Minyeob Jeong, Hyun Seung Kim, Dae‐Hong Kim
KSCE Journal of Civil Engineering (2025), pp. 100229-100229
Open Access
Improving streamflow forecasting in semi-arid basins by combining data segmentation and attention-based deep learning
Zijie Tang, Jianyun Zhang, Mengliu Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131923-131923
Closed Access | Times Cited: 3
Zijie Tang, Jianyun Zhang, Mengliu Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131923-131923
Closed Access | Times Cited: 3
Flood prediction using nonlinear instantaneous unit hydrograph and deep learning: A MATLAB program
Minyeob Jeong, Chang-Hwan Kim, Dae‐Hong Kim
Environmental Modelling & Software (2024) Vol. 175, pp. 105974-105974
Closed Access | Times Cited: 2
Minyeob Jeong, Chang-Hwan Kim, Dae‐Hong Kim
Environmental Modelling & Software (2024) Vol. 175, pp. 105974-105974
Closed Access | Times Cited: 2
High flow prediction model integrating physically and deep learning based approaches with quasi real-time watershed data assimilation
Minyeob Jeong, Moonhyuk Kwon, Jun-Ho Cha, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131304-131304
Closed Access | Times Cited: 2
Minyeob Jeong, Moonhyuk Kwon, Jun-Ho Cha, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131304-131304
Closed Access | Times Cited: 2
Evaluation of the Storms Direct Runoff Prediction Methods used for Goizha-Dabashan Watershed
Khalid M. Khidir
Tikrit Journal of Engineering Sciences (2023) Vol. 30, Iss. 2, pp. 67-79
Open Access | Times Cited: 3
Khalid M. Khidir
Tikrit Journal of Engineering Sciences (2023) Vol. 30, Iss. 2, pp. 67-79
Open Access | Times Cited: 3
Real-Time Visualized Generator for the Simulation of Wastewater Quality and Quantity Variations in the Sewer System
Yanchen Liu, Islam Md Sahidul, Jiale Chen, et al.
(2024)
Closed Access
Yanchen Liu, Islam Md Sahidul, Jiale Chen, et al.
(2024)
Closed Access
Developing an Empirical Relations between Nash Model Parameters and Watersheds Topographical Characteristics for Predicting Direct Runoff Hydrograph
Khalid M. Khidir
Tikrit Journal of Engineering Sciences (2023) Vol. 30, Iss. 2, pp. 80-93
Open Access | Times Cited: 1
Khalid M. Khidir
Tikrit Journal of Engineering Sciences (2023) Vol. 30, Iss. 2, pp. 80-93
Open Access | Times Cited: 1
