Zhi Da
- Finance top 0.1%
- Financial Markets and Investment Strategies 87
- Financial Risk and Volatility Modeling 11
- Accounting top 0.2%
- Corporate Finance and Governance 32
- Auditing, Earnings Management, Governance 32
- Economics and Econometrics top 0.2%
- Housing Market and Economics 17
- Market Dynamics and Volatility 15
- General Decision Sciences top 2%
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- Financial Reporting and Valuation Research 17
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- Monetary Policy and Economic Impact 12
- Co-authors
- Pengjie GaoJoseph EngelbergRyan D. IsraelsenAzi Ben-RephaelMitch WarachkaLong ChenErnst SchaumburgXing Huang
- Journals
- Journal of Financial Economics (8 papers)Management Science (8 papers)Review of Financial Studies (8 papers)
- Partner nations
- United StatesArgentinaChina
In The Last Decade
Zhi Da
103 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Finance 4.7k
- Accounting 2.6k
- Economics and Econometrics 3.3k
- Management Science and Operations Research 1.1k
- General Decision Sciences 147
Countries citing papers authored by Zhi Da
This map shows the geographic impact of Zhi Da'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 Zhi Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi Da more than expected).
Fields of papers citing papers by Zhi Da
This network shows the impact of papers produced by Zhi Da. 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 Zhi Da. The network helps show where Zhi Da may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhi Da, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2020 | 8 | |
| 13 | 2017 | 160 | |
| 14 | In Search of Fundamentals | 2011 | 1 |
| 15 | The pricing of volatility risk across asset classes | 2011 | 9 |
| 16 | 2011 | 2 | |
| 17 | 2010 | 65 | |
| 18 | 2009 | 2 | |
| 19 | 2005 | 32 | |
| 20 | 2005 | 2 |
About Zhi Da
Zhi Da is a scholar working on Finance, Accounting, General Economics, Econometrics and Finance, Economics and Econometrics and Strategy and Management, having authored 112 papers that have together received 6.3k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (87 papers), Corporate Finance and Governance (32 papers), Auditing, Earnings Management, Governance (32 papers), Housing Market and Economics (17 papers), Financial Reporting and Valuation Research (17 papers), Market Dynamics and Volatility (15 papers), Monetary Policy and Economic Impact (12 papers) and Financial Risk and Volatility Modeling (11 papers). The work is most often cited by research in Finance (4.7k citations), Accounting (2.6k citations), Economics and Econometrics (3.3k citations), Management Science and Operations Research (1.1k citations) and General Decision Sciences (147 citations). Zhi Da has collaborated with scholars based in United States, Argentina and China. Frequent co-authors include Pengjie Gao, Joseph Engelberg, Ryan D. Israelsen, Azi Ben-Rephael, Mitch Warachka, Long Chen, Ernst Schaumburg, Xing Huang, Sophie Shive and Umit G. Gurun. Their work appears in journals such as Journal of Financial Economics, Management Science, Review of Financial Studies, Journal of Financial and Quantitative Analysis and The Journal of Finance.
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.