Libing Fang

1.7k total citations · 1 hit paper
35 papers, 1.4k citations indexed

About

Libing Fang is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Libing Fang has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 17 papers in Finance and 9 papers in General Economics, Econometrics and Finance. Recurrent topics in Libing Fang's work include Market Dynamics and Volatility (24 papers), Energy, Environment, Economic Growth (13 papers) and Financial Risk and Volatility Modeling (11 papers). Libing Fang is often cited by papers focused on Market Dynamics and Volatility (24 papers), Energy, Environment, Economic Growth (13 papers) and Financial Risk and Volatility Modeling (11 papers). Libing Fang collaborates with scholars based in China, Canada and United States. Libing Fang's co-authors include Honghai Yu, Elie Bouri, Rangan Gupta, Baizhu Chen, David Roubaud, Lei Li, Binqing Xiao, H. J. Li, Donglei Du and Ke Zhang and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Journal of Business Ethics.

In The Last Decade

Libing Fang

35 papers receiving 1.3k citations

Hit Papers

Does global economic uncertainty matter for the volatilit... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin?
    2018 247 citations Libing Fang, Elie Bouri et al. International Review of Financial Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Libing Fang China 20 1.2k 476 319 200 149 35 1.4k
Harald Kinateder Germany 20 1.1k 0.9× 546 1.1× 229 0.7× 288 1.4× 130 0.9× 38 1.3k
Oğuzhan Çepni Türkiye 14 992 0.8× 406 0.9× 199 0.6× 166 0.8× 125 0.8× 47 1.2k
Niklas Wagner Germany 20 898 0.7× 620 1.3× 269 0.8× 169 0.8× 114 0.8× 61 1.2k
Samet Günay Kuwait 16 842 0.7× 346 0.7× 147 0.5× 203 1.0× 93 0.6× 63 1.0k
Sun‐Yong Choi South Korea 16 1.0k 0.9× 491 1.0× 178 0.6× 100 0.5× 90 0.6× 65 1.3k
Tony Klein United Kingdom 18 1.7k 1.4× 564 1.2× 255 0.8× 644 3.2× 295 2.0× 56 1.9k
Thomas Walther Germany 14 1.1k 0.9× 399 0.8× 131 0.4× 604 3.0× 126 0.8× 49 1.3k
Keven Bluteau Canada 10 741 0.6× 471 1.0× 132 0.4× 136 0.7× 64 0.4× 25 928
He Nie China 17 1.2k 1.0× 265 0.6× 255 0.8× 302 1.5× 273 1.8× 28 1.3k
Khaled Mokni Tunisia 26 1.7k 1.4× 451 0.9× 286 0.9× 337 1.7× 432 2.9× 56 1.8k

Countries citing papers authored by Libing Fang

Since Specialization
Citations

This map shows the geographic impact of Libing Fang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Libing Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libing Fang more than expected).

Fields of papers citing papers by Libing Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Libing Fang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Libing Fang. The network helps show where Libing Fang may publish in the future.

Co-authorship network of co-authors of Libing Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Libing Fang. A scholar is included among the top collaborators of Libing Fang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Libing Fang. Libing Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Ying, Lingjie Liu, & Libing Fang. (2024). An Enhanced Credit Risk Evaluation by Incorporating Related Party Transaction in Blockchain Firms of China. Mathematics. 12(17). 2673–2673. 4 indexed citations
2.
Fang, Libing, Xindan Li, Avanidhar Subrahmanyam, & Ke Zhang. (2023). Does FinTech Innovation Improve Traditional Banks' Efficiency and Risk Measures? A New Methodology and New Machine-Learning-Based Evidence from Patent Filings. SSRN Electronic Journal. 4 indexed citations
3.
Bouri, Elie, et al.. (2023). Return volatility, correlation, and hedging of green and brown stocks: Is there a role for climate risk factors?. Journal of Cleaner Production. 414. 137594–137594. 28 indexed citations
4.
Fang, Libing, et al.. (2021). Performance and risk of energy industrial firms with stock pledge in China. Finance research letters. 46. 102410–102410. 10 indexed citations
5.
Fang, Libing, et al.. (2020). Ownership structure and R&D: The role of regional governance environment. International Review of Economics & Finance. 72. 45–58. 20 indexed citations
6.
Fang, Libing, et al.. (2020). Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?. International Review of Financial Analysis. 71. 101537–101537. 40 indexed citations
7.
8.
Hua, Renhai, et al.. (2018). Impact of US Uncertainty on Chinese Stock Market Volatility. Emerging Markets Finance and Trade. 56(3). 576–592. 11 indexed citations
9.
Fang, Libing & Honghai Yu. (2018). Systemic Risk Network of Chinese Financial Institutions. SSRN Electronic Journal. 1 indexed citations
10.
Fang, Libing, Elie Bouri, Rangan Gupta, & David Roubaud. (2018). Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin?. International Review of Financial Analysis. 61. 29–36. 247 indexed citations breakdown →
11.
Fang, Libing, et al.. (2018). Systemic risk network of Chinese financial institutions. Emerging Markets Review. 35. 190–206. 90 indexed citations
12.
Fang, Libing, et al.. (2018). How does stock market volatility react to NVIX? Evidence from developed countries. Physica A Statistical Mechanics and its Applications. 505. 490–499. 14 indexed citations
13.
Fang, Libing, et al.. (2017). Resistive Switching Characteristics of Al 2 O 3 /ZnO Bilayer Thin Films for Flexible Memory Applications. Journal of Electronic Science and Technology. 15(1). 364–368. 2 indexed citations
14.
Yu, Honghai, et al.. (2017). How EPU drives long-term industry beta. Finance research letters. 22. 249–258. 28 indexed citations
15.
Fang, Libing, et al.. (2017). Identifying systemic important markets from a global perspective: Using the ADCC Δ CoVaR approach with skewed-t distribution. Finance research letters. 24. 137–144. 20 indexed citations
16.
Fang, Libing, et al.. (2017). The effect of economic policy uncertainty on the long-run correlation between crude oil and the U.S. stock markets. Finance research letters. 24. 56–63. 89 indexed citations
17.
Liu, Ye, Libing Fang, & Honghai Yu. (2017). Do reputable certifiers of quality exploit their reputations? Evidence from China’s IPO market. Economics Letters. 163. 72–74. 4 indexed citations
18.
Fang, Libing, et al.. (2017). A stable systemic risk ranking in China’s banking sector: Based on principal component analysis. Physica A Statistical Mechanics and its Applications. 492. 1997–2009. 24 indexed citations
19.
Yu, Honghai, et al.. (2017). Risk contribution of the Chinese stock market to developed markets in the post-crisis period. Emerging Markets Review. 34. 87–97. 27 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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