Ning Zhu
- Finance top 0.2%
- Financial Markets and Investment Strategies 35
- Banking stability, regulation, efficiency 10
- Accounting top 0.5%
- Corporate Finance and Governance 31
- Auditing, Earnings Management, Governance 10
- Financial Literacy, Pension, Retirement Analysis 9
- Corporate Insolvency and Governance 9
- General Decision Sciences top 1%
- Economics and Econometrics top 0.5%
- Housing Market and Economics 20
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- Spectroscopy and Laser Applications 8
Ning Zhu
80 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Finance 2.9k
- Accounting 2.4k
- General Decision Sciences 360
- Economics and Econometrics 1.9k
- Management Science and Operations Research 334
Countries citing papers authored by Ning Zhu
This map shows the geographic impact of Ning Zhu'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 Ning Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Zhu more than expected).
Fields of papers citing papers by Ning Zhu
This network shows the impact of papers produced by Ning Zhu. 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 Ning Zhu. The network helps show where Ning Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Zhu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 2 | |
| 12 | Price and volume dynamics in bubbles | 2019 | 4 |
| 13 | 2018 | 3 | |
| 14 | Corporate Governance and Performance of Firms: An Empirical Evidence from the Banking Sector of Ghana | 2017 | 7 |
| 15 | Investing in What You Know: The Case of Individual Investors and Local Stocks | 2013 | 6 |
| 16 | 2010 | 267 | |
| 17 | The Impact of Clientele Changes: Evidence from Stock Splits | 2009 | 24 |
| 18 | Short-Sales in Global Perspective | 2009 | 6 |
| 19 | 2003 | 52 | |
| 20 | CHINA AND THE WORLD FINANCIAL MARKETS 1870-1930: MODERN LESSONS FROM HISTORICAL GLOBALIZATION | 2001 | 4 |
About Ning Zhu
Ning Zhu is a scholar working on Finance, Accounting and General Decision Sciences, having authored 90 papers that have together received 4.5k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (35 papers), Corporate Finance and Governance (31 papers), Housing Market and Economics (20 papers), Banking stability, regulation, efficiency (10 papers), Auditing, Earnings Management, Governance (10 papers), Financial Literacy, Pension, Retirement Analysis (9 papers), Corporate Insolvency and Governance (9 papers) and Spectroscopy and Laser Applications (8 papers). The work is most often cited by research in Finance (2.9k citations), Accounting (2.4k citations) and General Decision Sciences (360 citations). Ning Zhu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ravi Dhar, Terrance Odean, Brad M. Barber, Arturo Bris, Ivo Welch, Mark S. Seasholes, William N. Goetzmann, Wang Ling Goh, Yi Zhang and Kiat Seng Yeo. Their work appears in journals such as The Journal of Finance, Journal of Financial Economics and Management Science.
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.