Jun Liu

Economics and Econometrics · Technological forecasting & social change · 2017–2021

A researcher in the Science corpus: 9 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Liu trusts overall

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

  1. Daron Acemoglu
  2. Peng Zhou
  3. Zhonghua Cheng
  4. J. Paul Elhorst
  5. Boqiang Lin
  6. Mario Coccia
  7. Ke Li
  8. Dong-hyun Oh
  9. P. Restrepo
  10. James J. Heckman

Papers from Jun Liu's perspective

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

  1. Energy and Policy Considerations for Deep Learning in NLP
  2. Technology development and energy productivity in China
  3. Sample selection bias as a specification error
  4. An analysis of technological factors and energy intensity in China
  5. Foreign Direct Investment, Human Capital and Environmental Pollution in China (Environmental and Resource Economics)
  6. The effect of increasing exports on industrial energy intensity in China
  7. Foreign direct investment and energy intensity in China: Firm-level evidence (Energy Economics)
  8. Barriers to energy efficiency: A comparison across the German commercial and services sector
  9. Brain Intelligence: Go beyond Artificial Intelligence
  10. Indigenous versus foreign innovation and energy intensity in China

Their papers