Rongrong Li
Economics and Econometrics · 2016–2022
A researcher in the Science corpus: 13 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 280 citations into it; #9,435 of 23,481 by trust here, #3,392 by citations
- Renewable Energy, Sustainability and the Environment — 179 citations into it; #1,447 of 5,212 by trust here, #1,814 by citations
- Environmental Engineering — 159 citations into it; #2,105 of 5,479 by trust here, #915 by citations
- Pollution — 76 citations into it; #1,561 of 1,888 by trust here, #1,119 by citations
- Management Science and Operations Research — 29 citations into it; #11,381 of 11,946 by trust here, #6,563 by citations
- Electrical and Electronic Engineering — 28 citations into it; #14,936 of 16,539 by trust here, #11,641 by citations
- Building and Construction — 13 citations into it
- Automotive Engineering — 12 citations into it
Whom Rongrong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Beng Wah Ang
- Qiang Wang
- Qiang Wang
- Muhammad Shahbaz
- Diyar Akay
- M. Song
- Ilhan Ozturk
- Usama Al-mulali
- Paresh Kumar Narayan
- M. Atak
Who trusts Rongrong Li overall
Papers from Rongrong Li's perspective
Ordered by how strongly the researchers Rongrong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Time series analysis, forecasting and control
- To reduce energy consumption and to maintain rapid economic growth: Analysis of the condition in China based on expended IPAT model
- Correlative and mechanistic models of species distribution provide congruent forecasts under climate change
- Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India
- Effective policies for renewable energy--the example of China's wind power--lessons for China's photovoltaic power
- A hybrid neural network and ARIMA model for water quality time series prediction (Engineering applications of artificial intelligence)
- Forecasting energy consumption using a grey model improved by incorporating genetic programming
- Grey system theory-based models in time series prediction (Expert systems with applications)
- Day-ahead electricity price forecasting using the wavelet transform and ARIMA models (IEEE Transactions on Power Systems)
- A simple panel unit root test in the presence of cross-section dependence
Their papers
- The effects of energy prices, urbanization and economic growth on energy consumption per capita in 186 countries (2019) — 339 citations
- Journey to burning half of global coal: Trajectory and drivers of China׳s coal use (2016) — 149 citations
- Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques (2018) — 181 citations
- Renewable energy and economic growth: New insight from country risks (2022) — 290 citations
- Does urbanization redefine the environmental Kuznets curve? An empirical analysis of 134 Countries (2021) — 438 citations
- Per-capita carbon emissions in 147 countries: The effect of economic, energy, social, and trade structural changes (2021) — 554 citations
- Decoupling sectoral economic output from carbon emissions on city level: A comparative study of Beijing and Shanghai, China (2019) — 114 citations
- Evaluating sustainability of water-energy-food (WEF) nexus using an improved matter-element extension model: A case study of China (2018) — 125 citations
- Toward to economic growth without emission growth: The role of urbanization and industrialization in China and India (2018) — 238 citations
- Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model (2018) — 125 citations
- Decomposition and decoupling analysis of carbon emissions from economic growth: A comparative study of China and the United States (2018) — 193 citations
- Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model (2017) — 71 citations
- Drivers for energy consumption: A comparative analysis of China and India (2016) — 113 citations