Qidong Peng - Concepedia

Concepedia

Author

Qidong Peng

China Institute of Water Resources and Hydropower Research ORCID

Also Known As

PENG QIDONG, QIDONG PENG, QiDong Peng, Qidong Peng

43

Publications

1.1K

Citations

14

H-Index

51

Concepts

All Affiliations

China Institute of Water Resources and Hydropower Research Ministry of Water Resources of the People's Republic of China Beijing Solar Energy Research Institute Chinese Academy of Fishery Sciences University of Oklahoma

QP

About

Qidong Peng is an author at China Institute of Water Resources and Hydropower Research specializing in engineering, water resources, and hydrology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	14	997
2	Civil Engineering	6	6	613
3	Environmental Engineering	3	3	40
4	Data Science	1	1	67
5	Geography	1	1	210

Qidong Peng

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19

Publications

1.1K

Citations

14

H-Index

	Year	Citations
Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm Di Zhang, Junqiang Lin, Qidong Peng, Journal of Hydrology EngineeringMachine LearningCivil EngineeringSystems EngineeringReservoir Computing	2018	378
Short‐Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural Networks Ata Akbari Asanjan, Tiantian Yang, Kuolin Hsu, Journal of Geophysical Research Atmospheres Forecasting MethodologyHydrological PredictionEngineeringWeather ForecastingClimate Modeling	2018	210
Simulating Reservoir Operation Using a Recurrent Neural Network Algorithm Di Zhang, Qidong Peng, Junqiang Lin, Water EngineeringSimulationWater Resources EngineeringReservoir OutflowRecurrent Neural Network	2019	79
A large-scale comparison of Artificial Intelligence and Data Mining (AI&DM) techniques in simulating reservoir releases over the Upper Colorado Region Tiantian Yang, Lujun Zhang, Taereem Kim, Journal of Hydrology Artificial IntelligenceEngineeringWater ResourcesData MiningData Science	2021	67
Variation in the significant environmental factors affecting larval abundance of four major<scp>C</scp>hinese carp species: fish spawning response to the Three Gorges Dam Junna Wang, Chong Li, Xinbin Duan, Freshwater Biology Fishery AssessmentEngineeringLarval AbundanceWater ResourcesFishery Science	2014	54
Ecological Flow Assessment to Improve the Spawning Habitat for the Four Major Species of Carp of the Yangtze River: A Study on Habitat Suitability Based on Ultrasonic Telemetry Lixiong Yu, Junqiang Lin, Daqing Chen, Water Fishery AssessmentEngineeringFishery ScienceCivil EngineeringSpawning Habitat	2018	42
Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models Yi Xu, Di Zhang, Junqiang Lin, Ecological Indicators	2023	39
Prediction of the outflow temperature of large-scale hydropower using theory-guided machine learning surrogate models of a high-fidelity hydrodynamics model Di Zhang, Dongsheng Wang, Qidong Peng, Journal of Hydrology Outflow TemperatureEngineeringMachine LearningWater EnergyPhysic Aware Machine Learning	2022	38
Refined operation of cascade reservoirs considering fish ecological demand Youkun Li, Junqiang Lin, Yi Liu, Journal of Hydrology EngineeringWater ResourcesAquacultureCascade ReservoirsReservoir Management	2022	33
An environmental flow assessment method based on the relationships between flow and ecological response: A case study of the Three Gorges Reservoir and its downstream reach Wang Jun-na, Dong Zhe-ren, Liao Wen-gen, Science China Technological Sciences Environmental FlowEcological ResponseRiver Basin ManagementThree Gorges ReservoirEngineering	2013	32

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