Xiaoli Tian
- Accounting top 2%
- Strategy and Management top 5%
- Economics and Econometrics top 5%
- Finance top 5%
- Management Information Systems
- Co-authors
- Stephen BrownJennifer Wu TuckerRyan J. WilsonDaniel W. CollinsPaul HribarSonja O. RegoRichard A. CazierMiaomiao Yu
- Topics
- Auditing, Earnings Management, Governance (22 papers)Corporate Finance and Governance (10 papers)Financial Markets and Investment Strategies (7 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Xiaoli Tian
21 papers receiving 572 citations
Peers
Comparison fields: 5 of 25
- Accounting 534
- Strategy and Management 169
- Economics and Econometrics 166
- Finance 164
- Management Information Systems 22
Countries citing papers authored by Xiaoli Tian
This map shows the geographic impact of Xiaoli Tian'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 Xiaoli Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Tian more than expected).
Fields of papers citing papers by Xiaoli Tian
This network shows the impact of papers produced by Xiaoli Tian. 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 Xiaoli Tian. The network helps show where Xiaoli Tian may publish in the future.
Co-authorship network of co-authors of Xiaoli Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Tian. A scholar is included among the top collaborators of Xiaoli Tian 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 Xiaoli Tian. Xiaoli Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | The Impact of Increased Disclosure Requirements and the Standardization of Accounting Practices on Earnings Management Through the Reserve for Income Taxes | 4 |
| 13 | 10 | |
| 14 | 48 | |
| 15 | Investors’ Reaction to the Use of Poison Pills as a Tax Loss Preservation Tool | 1 |
| 16 | 85 | |
| 17 | 107 | |
| 18 | 22 | |
| 19 | 9 | |
| 20 | 34 |
About Xiaoli Tian
Xiaoli Tian is a scholar working on Accounting, Finance and Strategy and Management, having authored 25 papers that have together received 588 indexed citations. Recurring topics across this work include Auditing, Earnings Management, Governance (22 papers), Corporate Finance and Governance (10 papers) and Financial Markets and Investment Strategies (7 papers). The work is most often cited by research in Accounting (534 citations), Finance (164 citations) and Strategy and Management (169 citations). Xiaoli Tian has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Stephen Brown, Jennifer Wu Tucker, Ryan J. Wilson, Daniel W. Collins, Paul Hribar, Sonja O. Rego, Richard A. Cazier, Miaomiao Yu, Jenny Wu Tucker and Gary Chen. Their work appears in journals such as Journal of Accounting and Economics, Journal of Accounting Research and The Accounting Review.
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.