Kei Ishida - Concepedia

Author

Kei Ishida

University of California, Davis ORCID

Also Known As

ISHIDA, Kei, Ishida, K., Ishida, Kei, K Ishida, K. ISHIDA, K. Ishida, KEI ISHIDA, Kei ISHIDA, Kei Ishida, Kei ishida

155

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

University of California, Davis Hydrologic Research Center Kumamoto University University of Wyoming California Department of Fish and Wildlife

About

Kei Ishida is an author at University of California, Davis specializing in engineering, earth science, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	30	940
2	Civil Engineering	4	4	121
3	Social Sciences	1	1	23
4	Climate Sciences	1	1	11
5	Computer Engineering	1	1	19

Kei Ishida

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Future climate change impact assessment of watershed scale hydrologic processes in Peninsular Malaysia by a regional climate model coupled with a physically-based hydrology modelo Mohd Zaki Mat Amin, A. J. Shaaban, Ali Ercan, The Science of The Total Environment ClimatologyHydrological ScienceEngineeringWater ResourcesCatchment Scale	2016	90
Physically Based Estimation of Maximum Precipitation over Three Watersheds in Northern California: Atmospheric Boundary Condition Shifting Kei Ishida, M. L. Kavvas, S. Jang, Journal of Hydrologic Engineering EngineeringHistorical PeriodWeather ForecastingEarth SciencePrecipitation	2014	69
Assessing the impacts of future climate change on the hydroclimatology of the Gediz Basin in Turkey by using dynamically downscaled CMIP5 projections Merve Görgüner, M. L. Kavvas, Kei Ishida The Science of The Total Environment ClimatologyCmip5 ProjectionsRegional Climate ResponseEngineeringFuture Climatic Change	2018	62
Long-term trend analysis on total and extreme precipitation over Shasta Dam watershed Kinya Toride, Dylan L. Cawthorne, Kei Ishida, The Science of The Total Environment HydrometeorologyEngineeringWater ResourcesWatershed ManagementShasta Dam	2018	58
Capabilities of deep learning models on learning physical relationships: Case of rainfall-runoff modeling with LSTM Kazuki Yokoo, Kei Ishida, Ali Ercan, The Science of The Total Environment Convolutional Neural NetworkDeep Neural NetworksEngineeringMachine LearningData Science	2021	57
Physically Based Estimation of Maximum Precipitation over Three Watersheds in Northern California: Relative Humidity Maximization Method Kei Ishida, M. L. Kavvas, S. Jang, Journal of Hydrologic Engineering	2015	55
Hourly-scale coastal sea level modeling in a changing climate using long short-term memory neural network Kei Ishida, Gozo TSUJIMOTO, Ali Ercan, The Science of The Total Environment ClimatologyMeteorologyCoastal ManagementMarine MeteorologyEngineering	2020	48
Induction of unique macrophage subset by simultaneous stimulation with LPS and IL-4 Kei Ishida, Takahiro Nagatake, Azusa Saika, Frontiers in Immunology	2023	47
Assessment of 21st century drought conditions at Shasta Dam based on dynamically projected water supply conditions by a regional climate model coupled with a physically-based hydrology model Toan Trinh, Kei Ishida, M. L. Kavvas, The Science of The Total Environment Water Supply ConditionsEngineeringWater ResourcesDroughtShasta Dam	2017	45
Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Journal of Environmental Management HydrometeorologyConvolutional Neural NetworkRecurrent Neural NetworkEngineeringDeep Learning	2024	40

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