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Yufeng Mao

Australian National University (from arXiv:2101.06805, 2021) · ORCID · OpenAlex

4 papers in scope · 3 published · 1 on the econ.EM arXiv · 5 citations · h-index 1 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Markus Pelger
  2. Ruoxuan Xiong
  3. Ercument Cahan
  4. Qihui Chen
  5. Jushan Bai
  6. Param Silvapulle
  7. Mervyn J. Silvapulle
  8. Serena Ng
  9. Alessio Brini
  10. Stéphane Guerrier
  11. Gaetan Bakalli
  12. Junting Duan
  13. Ekaterina Seregina
  14. Matteo Barigozzi
  15. Mohsen Bayati
  16. Olivier Scaillet
  17. Mehmet Giray Ogut
  18. Thomas M. Schmelzer
  19. Kasper Johansson
  20. Stephen Boyd

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 4)

An Adaptive Residual-Based Test for Factor Structure
published2025 · Journal of Business and Economic Statistics
with Yayi Yan
Journal of Business and Economic Statistics
Spillover effects in stock index returns within Chinese oil industry chain
published2025 · Frontiers in Physics · 1 citations
with Likun Lei, Yu Wang, Liang Wu
Frontiers in Physics
Impact of climate change on agriculture in Australia: an interactive fixed effects model approach
published2024 · Applied Economics · 4 citations
with N. T. J. Bailey, Zvi Hochman, Mervyn J. Silvapulle, Param Silvapulle
Applied Economics
Decomposition of Bilateral Trade Flows Using a Three-Dimensional Panel Data Model
working paper2021 · arXiv
with Bin Peng, Mervyn J. Silvapulle, Param Silvapulle, Yanrong Yang
Paper profile arXiv arXiv:2101.06805

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.