Yanran Hong

556 total citations
19 papers, 393 citations indexed

About

Yanran Hong is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and General Economics, Econometrics and Finance. According to data from OpenAlex, Yanran Hong has authored 19 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 7 papers in Renewable Energy, Sustainability and the Environment and 6 papers in General Economics, Econometrics and Finance. Recurrent topics in Yanran Hong's work include Market Dynamics and Volatility (17 papers), Energy, Environment, Economic Growth (11 papers) and Monetary Policy and Economic Impact (6 papers). Yanran Hong is often cited by papers focused on Market Dynamics and Volatility (17 papers), Energy, Environment, Economic Growth (11 papers) and Monetary Policy and Economic Impact (6 papers). Yanran Hong collaborates with scholars based in China, United Kingdom and Australia. Yanran Hong's co-authors include Lihua Shen, Chao Liang, Lu Wang, Yushi Jiang, Muhammad Umar, Yaojie Zhang, Feng Ma, Dongxin Li, Lu Wang and Luu Duc Toan Huynh and has published in prestigious journals such as Renewable Energy, Energy Economics and Technological Forecasting and Social Change.

In The Last Decade

Yanran Hong

18 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanran Hong China 12 346 117 64 51 39 19 393
Zhonglu Chen China 11 470 1.4× 134 1.1× 87 1.4× 120 2.4× 55 1.4× 15 524
Jamie Cross Australia 10 271 0.8× 123 1.1× 131 2.0× 58 1.1× 45 1.2× 22 344
Debi Prasad Bal India 10 396 1.1× 123 1.1× 147 2.3× 45 0.9× 26 0.7× 24 467
Wang Gao China 14 551 1.6× 175 1.5× 106 1.7× 67 1.3× 30 0.8× 37 610
Toan Luu Duc Huynh United Kingdom 9 398 1.2× 146 1.2× 41 0.6× 143 2.8× 47 1.2× 16 496
Idris A. Adediran Nigeria 13 471 1.4× 95 0.8× 103 1.6× 100 2.0× 32 0.8× 30 545
Ikram Jebabli Morocco 6 316 0.9× 94 0.8× 66 1.0× 67 1.3× 10 0.3× 9 367
Lan Bai China 12 598 1.7× 163 1.4× 56 0.9× 166 3.3× 43 1.1× 14 647
Besma Hamdi Tunisia 6 324 0.9× 130 1.1× 39 0.6× 74 1.5× 14 0.4× 10 389
Shabir Mohsin Hashmi China 12 481 1.4× 183 1.6× 117 1.8× 77 1.5× 21 0.5× 22 546

Countries citing papers authored by Yanran Hong

Since Specialization
Citations

This map shows the geographic impact of Yanran Hong'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 Yanran Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanran Hong more than expected).

Fields of papers citing papers by Yanran Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanran Hong. 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 Yanran Hong. The network helps show where Yanran Hong may publish in the future.

Co-authorship network of co-authors of Yanran Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yanran Hong. A scholar is included among the top collaborators of Yanran Hong 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 Yanran Hong. Yanran Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hong, Yanran, et al.. (2025). Oil supply and U.S.-China tensions: A multinational perspective. International Review of Financial Analysis. 104. 104278–104278. 1 indexed citations
2.
Hong, Yanran, et al.. (2025). New paths of the time-varying Granger-causality test under extreme shocks: An analysis of geopolitical risk and crude oil markets. Research in International Business and Finance. 77. 102994–102994. 1 indexed citations
3.
Hong, Yanran, et al.. (2024). Exchange rate movements and the energy transition. Energy Economics. 136. 107701–107701.
4.
Liang, Chao, Yanran Hong, Luu Duc Toan Huynh, & Feng Ma. (2023). Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world. Review of Quantitative Finance and Accounting. 60(4). 1543–1567. 20 indexed citations
5.
Hong, Yanran, et al.. (2023). Detecting the hidden asymmetric relationship between crude oil and the US dollar: A novel neural Granger causality method. Research in International Business and Finance. 64. 101899–101899. 13 indexed citations
6.
Hong, Yanran, et al.. (2023). Interpreting the effect of global economic risks on crude oil market: A supply-demand perspective. International Review of Financial Analysis. 91. 103008–103008. 16 indexed citations
7.
Jiang, Yushi, et al.. (2023). Energy transition concern: Time-varying effect of climate policy uncertainty on renewables consumption. Technological Forecasting and Social Change. 192. 122551–122551. 61 indexed citations
8.
Hong, Yanran, Feng Ma, Lu Wang, & Chao Liang. (2022). How does the COVID-19 outbreak affect the causality between gold and the stock market? New evidence from the extreme Granger causality test. Resources Policy. 78. 102859–102859. 19 indexed citations
9.
Hong, Yanran, et al.. (2022). Relationship between the news-based categorical economic policy uncertainty and US GDP: A mixed-frequency Granger-causality analysis. Finance research letters. 48. 103024–103024. 9 indexed citations
10.
Hong, Yanran, et al.. (2022). Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?. Energy Economics. 111. 106056–106056. 36 indexed citations
11.
Hong, Yanran, et al.. (2022). Southern oscillation: Great value of its trends for forecasting crude oil spot price volatility. International Review of Economics & Finance. 84. 358–368. 9 indexed citations
12.
Shen, Lihua & Yanran Hong. (2022). Can geopolitical risks excite Germany economic policy uncertainty: Rethinking in the context of the Russia-Ukraine conflict. Finance research letters. 51. 103420–103420. 54 indexed citations
13.
Hong, Yanran, Lu Wang, Chao Liang, & Muhammad Umar. (2022). Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework. Resources Policy. 77. 102667–102667. 44 indexed citations
14.
Hong, Yanran, et al.. (2022). Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis. Renewable Energy. 196. 535–546. 30 indexed citations
15.
Hong, Yanran, et al.. (2022). New evidence of extreme risk transmission between financial stress and international crude oil markets. Research in International Business and Finance. 64. 101853–101853. 10 indexed citations
16.
Li, Dongxin, et al.. (2022). Extreme risk transmission among bitcoin and crude oil markets. Resources Policy. 77. 102761–102761. 35 indexed citations
17.
Hu, Yang, et al.. (2022). Evaluating the Importance of Monetary Policy Uncertainty: The Long- and Short-Term Effects and Responses. Evaluation Review. 47(2). 264–286. 11 indexed citations
18.
Hong, Yanran, et al.. (2019). Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital. Mathematics. 7(3). 257–257. 15 indexed citations
19.
Hong, Yanran, et al.. (2019). A Method of Determining Multi-Attribute Weights Based on Single-Valued Neutrosophic Numbers and Its Application in TODIM. Symmetry. 11(4). 506–506. 9 indexed citations

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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