Jia Wu
Impact in
- Accounting top 5%
- Auditing, Earnings Management, Governance
- Corporate Finance and Governance
- Management Information Systems top 10%
- Big Data and Business Intelligence
Papers in
-
- Corporate Finance and Governance 5
- Auditing, Earnings Management, Governance 5
-
- Corruption and Economic Development 2
- Co-authors
- Mai Dao (4 shared papers)Miklos A. Vasarhelyi (2 shared papers)Michael Alles (2 shared papers)Alexander Kogan (2 shared papers)Junsen Zhang (3 shared papers)Hongkang Xu (3 shared papers)Hua Sun (1 shared paper)Adam J. Sulkowski (1 shared paper)
- Journals
- Pacific Economic Review (2 papers)Review of Quantitative Finance and Accounting (2 papers)Auditing A Journal of Practice & Theory (1 paper)American Economic Journal Economic Policy (1 paper)Asian Economic Policy Review (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jia Wu
22 papers receiving 289 citations
Peers
Comparison fields: 5 of 65
- Accounting 133
- Management Information Systems 67
- Strategy and Management 73
- Safety Research 20
- Finance 24
Countries citing papers authored by Jia Wu
This map shows the geographic impact of Jia Wu'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 Jia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Wu more than expected).
Fields of papers citing papers by Jia Wu
This network shows the impact of papers produced by Jia Wu. 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 Jia Wu. The network helps show where Jia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 72 | |
| 2 | 2018 | 46 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 37 | |
| 5 | Analytical Procedures for Continuous Data Level Auditing: Continuity Equations 1 | 2010 | 29 |
| 6 | 2010 | 16 | |
| 7 | 2018 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2013 | 3 | |
| 12 | 2009 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 1 |
About Jia Wu
Jia Wu is a scholar working on Accounting, Sociology and Political Science, Safety Research, Economics and Econometrics and Management Science and Operations Research, having authored 24 papers that have together received 300 indexed citations. Recurring topics across this work include Corporate Finance and Governance (5 papers), Auditing, Earnings Management, Governance (5 papers), Poverty, Education, and Child Welfare (3 papers), Corporate Social Responsibility Reporting (2 papers), Corruption and Economic Development (2 papers), Data Quality and Management (2 papers), Parental Involvement in Education (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Accounting (133 citations), Management Information Systems (67 citations), Strategy and Management (73 citations), Safety Research (20 citations) and Finance (24 citations). Jia Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mai Dao, Miklos A. Vasarhelyi, Michael Alles, Alexander Kogan, Junsen Zhang, Hongkang Xu, Hua Sun, Adam J. Sulkowski, Wenjun Wang and Xiang Zhou. Their work appears in journals such as Pacific Economic Review, Review of Quantitative Finance and Accounting, Auditing A Journal of Practice & Theory, American Economic Journal Economic Policy and Asian Economic Policy 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.