Cheng Yan

3.8k total citations · 4 hit papers
100 papers, 2.9k citations indexed

About

Cheng Yan is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Cheng Yan has authored 100 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Economics and Econometrics, 49 papers in Finance and 19 papers in General Economics, Econometrics and Finance. Recurrent topics in Cheng Yan's work include Energy, Environment, Economic Growth (28 papers), Market Dynamics and Volatility (27 papers) and Financial Markets and Investment Strategies (27 papers). Cheng Yan is often cited by papers focused on Energy, Environment, Economic Growth (28 papers), Market Dynamics and Volatility (27 papers) and Financial Markets and Investment Strategies (27 papers). Cheng Yan collaborates with scholars based in United Kingdom, China and Türkiye. Cheng Yan's co-authors include Xiaohang Ren, Giray Gözgör, Kung‐Cheng Ho, Cheng Cheng, Zhen Wang, Xiao Zhang, Yan Gu, Yukun Shi, Kun Duan and Kangyin Dong and has published in prestigious journals such as The Science of The Total Environment, Energy Economics and International Journal of Production Economics.

In The Last Decade

Cheng Yan

89 papers receiving 2.8k citations

Hit Papers

Climate policy uncertainty and firm-level total f... 2019 2026 2021 2023 2022 2019 2021 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Yan United Kingdom 25 2.3k 790 492 445 424 100 2.9k
Mamdouh Abdulaziz Saleh Al‐Faryan United Kingdom 27 2.2k 1.0× 816 1.0× 238 0.5× 476 1.1× 297 0.7× 226 3.3k
Bushra Naqvi Pakistan 31 2.4k 1.0× 609 0.8× 608 1.2× 306 0.7× 199 0.5× 53 2.9k
Younes Ben Zaied France 23 1.4k 0.6× 495 0.6× 277 0.6× 343 0.8× 362 0.9× 78 2.1k
Gen‐Fu Feng China 32 2.1k 0.9× 515 0.7× 445 0.9× 667 1.5× 666 1.6× 67 3.0k
Muhammad Saeed Meo Pakistan 31 2.1k 0.9× 962 1.2× 183 0.4× 247 0.6× 295 0.7× 92 2.8k
Dilvin Taşkın Türkiye 25 1.7k 0.7× 811 1.0× 215 0.4× 183 0.4× 184 0.4× 60 2.2k
Md. Samsul Alam Australia 21 1.8k 0.8× 821 1.0× 112 0.2× 417 0.9× 378 0.9× 37 2.4k
Md Al Mamun Australia 17 1.3k 0.6× 442 0.6× 336 0.7× 186 0.4× 125 0.3× 39 1.7k
Thanh Quang Ngo Vietnam 22 1.4k 0.6× 588 0.7× 196 0.4× 281 0.6× 336 0.8× 70 1.9k
Yunpeng Sun China 25 2.1k 0.9× 868 1.1× 124 0.3× 322 0.7× 366 0.9× 67 2.6k

Countries citing papers authored by Cheng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Yan. A scholar is included among the top collaborators of Cheng Yan 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 Cheng Yan. Cheng Yan 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.
Lu, Jie, Cheng Yan, Yumin Zhang, et al.. (2024). Design, synthesis, and evaluation of novel oxyacanthine derivatives for anti-SARS-CoV-2 activity. Bioorganic & Medicinal Chemistry Letters. 113. 129951–129951.
2.
Ren, Xiaohang, et al.. (2024). Weathering the policy storm: How climate strategy volatility shapes corporate total factor productivity. Energy Economics. 134. 107553–107553. 27 indexed citations
3.
Duan, Kun, et al.. (2023). Differences in carbon risk spillovers with green versus traditional assets: Evidence from a full distributional analysis. Energy Economics. 127. 107049–107049. 11 indexed citations
4.
Ren, Xiaohang, et al.. (2023). Carbon Prices Forecasting Using Group Information. 4(4). 4 indexed citations
5.
Zhang, Xuliang, et al.. (2023). Investor flow-chasing and price–performance puzzle: Evidence from global infrastructure funds. Research in International Business and Finance. 65. 101933–101933. 1 indexed citations
6.
Zhang, Yi, et al.. (2023). The Impact of Higher Education on Health Behavior during the COVID-19 Pandemic: Evidence from China. Sustainability. 15(24). 16644–16644. 4 indexed citations
7.
Huang, Yuxuan, Qi Zhu, Cheng Yan, & Yeqin Zeng. (2023). Your gender identity is who you are: Female chief executive officers and corporate debt structure. International Journal of Finance & Economics. 30(1). 426–454. 1 indexed citations
9.
Ho, Kung‐Cheng, et al.. (2023). Influence of green innovation on disclosure quality: Mediating role of media attention. Technological Forecasting and Social Change. 188. 122314–122314. 64 indexed citations
10.
Chen, Chang-Chih, Kung‐Cheng Ho, Cheng Yan, Chung-Ying Yeh, & Min‐Teh Yu. (2023). Does ambiguity matter for corporate debt financing? Theory and evidence. Journal of Corporate Finance. 80. 102425–102425. 3 indexed citations
11.
Wei, Ping, et al.. (2023). Time-varying spillover networks of green bond and related financial markets. International Review of Economics & Finance. 88. 298–317. 19 indexed citations
12.
Ren, Xiaohang, et al.. (2022). The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method. Technological Forecasting and Social Change. 179. 121611–121611. 167 indexed citations breakdown →
13.
Ren, Xiaohang, et al.. (2022). Carbon prices forecasting in quantiles. Energy Economics. 108. 105862–105862. 81 indexed citations
14.
Wei, Ping, et al.. (2022). Market implied volatility and natural disasters: international evidence. Environmental Science and Pollution Research. 29(56). 84962–84988. 1 indexed citations
15.
Ren, Xiaohang, Yue Dou, Kangyin Dong, & Cheng Yan. (2022). Spillover effects among crude oil, carbon, and stock markets: evidence from nonparametric causality-in-quantiles tests. Applied Economics. 55(38). 4486–4509. 20 indexed citations
16.
Ren, Xiaohang, et al.. (2022). Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model. Energy Economics. 107. 105855–105855. 75 indexed citations
17.
Shi, Yukun, et al.. (2022). The information content of CDS implied volatility and associated trading strategies. International Review of Financial Analysis. 83. 102295–102295. 1 indexed citations
18.
Wang, Jianda, Kangyin Dong, Yezhou Sha, & Cheng Yan. (2022). Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China. Technological Forecasting and Social Change. 184. 121965–121965. 133 indexed citations
19.
Ren, Xiaohang, et al.. (2021). Economic agglomeration and product quality upgrading: evidence from China. Journal of Chinese Economic and Business Studies. 20(4). 377–395. 5 indexed citations
20.
Ren, Xiaohang, Cheng Cheng, Zhen Wang, & Cheng Yan. (2020). Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model. Sustainable Development. 29(1). 228–242. 160 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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