Minggang Wang

Economics and Econometrics · 2016–2018

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 75 citations into it; #8,381 of 23,481 by trust here, #12,781 by citations
• Statistical and Nonlinear Physics — 37 citations into it
• Computer Networks and Communications — 11 citations into it; #4,590 of 9,886 by trust here, #7,832 by citations
• Renewable Energy, Sustainability and the Environment — 6 citations into it

Whom Minggang Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Lucas Lacasa
2. Perry Sadorsky
3. Lutz Kilian
4. Epaminondas Panas
5. Lixin Tian
6. Jie Zhang
7. B. Luque
8. Haruna Chiroma
9. Christiane Baumeister
10. Francis X. Diebold

Who trusts Minggang Wang overall

1. Lin Chen
2. Matthew P. Juniper
3. Zhilin Qiao
4. Ruijin Du
5. Chao Wang
6. Longfeng Zhao
7. R. Sujith
8. H. Eugene Stanley
9. Hamed Ghoddusi
10. Lixin Tian

Papers from Minggang Wang's perspective

Ordered by how strongly the researchers Minggang Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. From time series to complex networks: The visibility graph (Proceedings of the National Academy of Sciences of the United States of America)
2. International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models
3. Modeling and forecasting petroleum futures volatility
4. Not All Oil Price Shocks are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market
5. Emergence of Scaling in Random Networks
6. Real-Time Forecasts of the Real Price of Oil
7. This PDF file includes: Materials and Methods
8. Estimating ‘Value at Risk’ of crude oil price and its spillover effect using the GED-GARCH approach
9. Deep Learning
10. THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUDE OIL

Their papers

• From time series to complex networks: The phase space coarse graining (2016) — 86 citations
• Fluctuation behavior analysis of international crude oil and gasoline price based on complex network perspective (2016) — 74 citations
• A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms (2018) — 133 citations
• Exact results of the limited penetrable horizontal visibility graph associated to random time series and its application (2017) — 39 citations
• Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market? (2018) — 99 citations
• A novel approach for oil price forecasting based on data fluctuation network (2018) — 39 citations