Feng Yao

ORCID: 0000-0003-1374-1118
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About
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Research Areas
  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Climate variability and models
  • Monetary Policy and Economic Impact
  • Statistical Methods and Bayesian Inference
  • Complex Systems and Time Series Analysis
  • Hydrology and Watershed Management Studies
  • Plant Water Relations and Carbon Dynamics
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Flood Risk Assessment and Management
  • Spatial and Panel Data Analysis
  • Control Systems and Identification
  • Global trade and economics
  • Financial Risk and Volatility Modeling
  • Urban and spatial planning
  • Hydrology and Drought Analysis
  • International Business and FDI
  • Land Use and Ecosystem Services
  • Bayesian Methods and Mixture Models
  • Efficiency Analysis Using DEA
  • Urban Heat Island Mitigation
  • Economic theories and models
  • Market Dynamics and Volatility
  • Urban Design and Spatial Analysis

Institute of Geographic Sciences and Natural Resources Research
2021-2024

Chinese Academy of Sciences
2021-2024

Shenzhen University
2016-2022

West Virginia University
2008-2022

Guangdong University of Foreign Studies
2016-2020

Zhejiang Gongshang University
2020

Jilin Meteorological Bureau
2018

National Supercomputing Center in Shenzhen
2016

Peking University
2014

International Food Policy Research Institute
2013

Abstract Streamflow prediction in ungauged basins (PUB) is challenging, and Long Short‐Term Memory (LSTM) widely used to for such predictions, owing its excellent migration performance. Traditional LSTM forced by meteorological data catchment attribute barely highlight the optimum integration strategy from data‐rich ones. In this study, we experimented with 1,897 global catchments found that LSTM‐corrected Global Hydrological Models (GHMs) outperformed uncorrected GHMs, improving median...

10.1029/2022wr034352 article EN Water Resources Research 2023-07-01

Abstract River flooding is among the costliest natural disasters with severe economic, societal, and environmental consequences. However, substantial uncertainties remain in global regional projections of future flood conditions simulated by climate models (GCMs) and/or hydrological (GHMs). Using physical coupled machine learning (ML), for first time, we project changes magnitudes 2062 river basins constraining physical‐based streamflow simulations observations under 1.5°C 2°C warming...

10.1029/2020wr028830 article EN Water Resources Research 2021-01-18

10.1016/j.jmva.2008.04.013 article EN publisher-specific-oa Journal of Multivariate Analysis 2008-04-30

Abstract Litsea cubeba essential oil (LC‐EO) has been reported as antibacterial agents, but there are few studies about its possible mechanism. The activities and the underlying mechanisms of LC‐EO against Escherichia coli O157: H7 Salmonella enterica were investigated. results showed that was more effective gram‐negative bacteria. inhibition zone for E. S. 3.1 ± 0.8 4.5 0.6 mm, respectively. minimum inhibitory concentration both bacteria 0.9 μg/ml, while bactericidal concentrations 9 μg/ml....

10.1111/jfs.12809 article EN Journal of Food Safety 2020-05-06

This article uses a panel data of China’s inbound tourist flows from 2005 to 2015 investigate Confucius Institute (CI)’s influence on tourism. We find that CI, as comprehensive platform for foreign cultural exchange, has significant positive effect flows. The effects CI tourism are transmitted through bridging gaps and promoting Chinese language, which reduces psychic distance transaction costs. also stimulates via reducing information asymmetry caused by different levels institutional...

10.1080/00036846.2016.1265078 article EN Applied Economics 2016-12-09

Terrestrial water storage (TWS) is a critical variable in the global hydrological cycle. The TWS estimates derived from Gravity Recovery and Climate Experiment (GRACE) allow us to better understand exchanges between atmosphere, land surface, sea, glaciers. However, missing historical (pre-2002) GRACE data limit their further application. In this study, we developed random forest (RF) model reconstruct monthly terrestrial anomaly (TWSA) time series using Global Land Data Assimilation System...

10.3390/rs13234831 article EN cc-by Remote Sensing 2021-11-28

Assessing vegetation changes in alpine arid and fragile ecosystems is imperative for informed ecological restoration initiatives adaptive ecosystem management. Previous studies primarily employed the Normalized Difference Vegetation Index (NDVI) to reveal dynamics, ignoring spatial heterogeneity alterations caused by bare soil. In this study, we used a comprehensive analysis of NDVI its examine across Three-River Headwaters Region (TRHR) over past two decades. A random forest model was...

10.3390/plants13192814 article EN cc-by Plants 2024-10-08

Purpose This study aims to investigate the influence of Confucius Institute (CI) on outward foreign direct investment (OFDI) by China and its potential interaction with cultural difference institutional quality in host countries. Design/methodology/approach In empirical study, gravity model is adopted as benchmark effects CI China's OFDI using ordinary least squares or Poisson Pseudo Maximum Likelihood estimators. Panel data from 2004 2015 are used. Cultural included explicitly control...

10.1108/jabs-10-2016-0145 article EN Journal of Asia Business Studies 2020-01-24

Abstract Pan evaporation ( E pan ) serves as a monitorable method for estimating potential evaporation, evapotranspiration, and reference crop providing crucial data information fields such water resource management agricultural irrigation. Based on the PenPan model, monthly was calculated over China during 1951–2021, resulting in an average R 2 of 0.93 ± 0.045 RMSE 21.48 6.06 mm month −1 . The trend time characterized by initial increase before 1961, followed decrease from 1961 to 1993,...

10.1175/jhm-d-23-0066.1 article EN Journal of Hydrometeorology 2023-08-31

10.1016/j.jspi.2013.03.026 article EN Journal of Statistical Planning and Inference 2013-04-07

We provide a simple result on the H-decomposition of U-statistics that allows for easy determination its magnitude when statistic’s kernel depends sample size n. The provides direct and convenient method to characterize asymptotic semiparametric nonparametric estimators or test statistics involving high dimensional sums. illustrate use our in previously studied estimators/test novel R2 overall significance regression model.

10.1080/03610926.2013.839037 article EN Communication in Statistics- Theory and Methods 2015-04-01

In order to detect daily temperature trend in eastern China, observed data spanning over 32 years (1979–2010) including maximum (Tmax), minimum (Tmin) and mean (Tavg) were analysed. Besides, land cover conversions grassland/cropland around 102 meteorological stations also investigated explore the sensitivity of grassland/cropland. Increasing trends detected Tmax Tmin, with distinct connection distribution changed greatly grassland Tmin cropland. unique seasonal spatial variability was...

10.1002/joc.4072 article EN International Journal of Climatology 2014-07-09

Abstract China concurrently confronts acute water resource challenges and substantial carbon emissions, with its industrial sector being a significant freshwater consumer primary emitter. has committed to achieving neutrality (CN) by 2060, yet the exact impact of this goal on withdrawal (IWW) remains unclear. Here, we project IWW in considering both scenarios without CN target, based industry-specific quota standards projections product output. Our findings indicate 53.76% (51.41 km 3 )...

10.1088/1748-9326/ad7f6f article EN cc-by Environmental Research Letters 2024-09-25

In this paper we introduce a new financial engineering approach to the investigation of information flow between two world stock markets. We apply one-way effect causal measure presented by Yao and Hosoya (2000) (2007) analysis systematic transmission markets China, US Japan. view high technical time series modeling, see that both flows from New York market Tokyo Shanghai are strong short-run. The reverse, also statistically existed but comparatively weak very steady. is found be...

10.1109/icinfa.2010.5512374 article EN 2010-06-01
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