Conghui Chen
Impact in
- Economics and Econometrics top 5%
- Market Dynamics and Volatility
- COVID-19 Pandemic Impacts
- Complex Systems and Time Series Analysis
- Energy, Environment, Economic Growth
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
-
- Market Dynamics and Volatility 2
- Climate Change Policy and Economics 1
- COVID-19 Pandemic Impacts 1
- Complex Systems and Time Series Analysis 1
-
- Blockchain Technology Applications and Security 2
- Co-authors
- Lanlan Liu (3 shared papers)Ningru Zhao (2 shared papers)Sercan Demiralay (1 shared paper)Yan Wang (1 shared paper)Ziyou Wang (1 shared paper)
- Journals
- Emerging Markets Finance and Trade (1 paper)International Review of Financial Analysis (1 paper)Journal of Environmental Management (1 paper)Economic Modelling (1 paper)Finance research letters (1 paper)
- Partner nations
- United KingdomChina
In The Last Decade
Conghui Chen
4 papers receiving 289 citations
Conghui Chen's Hit Papers
Peers
Comparison fields: 5 of 34
- Economics and Econometrics 254
- Finance 92
- General Energy 6
- Information Systems 121
- Modeling and Simulation 24
Countries citing papers authored by Conghui Chen
This map shows the geographic impact of Conghui Chen'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 Conghui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conghui Chen more than expected).
Fields of papers citing papers by Conghui Chen
This network shows the impact of papers produced by Conghui Chen. 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 Conghui Chen. The network helps show where Conghui Chen may publish in the future.
Co-authors
The 5 scholars most cited alongside Conghui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19 Hit paper breakdown → | 2020 | 233 |
| 2 | 2021 | 38 | |
| 3 | 2024 | 17 | |
| 4 | 2023 | 10 | |
| 5 | 2025 | 0 |
About Conghui Chen
Conghui Chen is a scholar working on Economics and Econometrics, Information Systems, Finance, Urban Studies and Management Science and Operations Research, having authored 5 papers that have together received 298 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (2 papers), Market Dynamics and Volatility (2 papers), Blockchain Technology Applications and Security (2 papers), Land Rights and Reforms (1 paper), Urban and Rural Development Challenges (1 paper), Climate Change Policy and Economics (1 paper), COVID-19 Pandemic Impacts (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Economics and Econometrics (254 citations), Finance (92 citations), General Energy (6 citations), Information Systems (121 citations) and Modeling and Simulation (24 citations). Conghui Chen has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Lanlan Liu, Ningru Zhao, Sercan Demiralay, Yan Wang and Ziyou Wang. Their work appears in journals such as Emerging Markets Finance and Trade, International Review of Financial Analysis, Journal of Environmental Management, Economic Modelling and Finance research letters.
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.