Ting Sun
- Accounting top 5%
- Management Information Systems top 2%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Miklos A. VasarhelyiHussein IssaLi ZhangBing XuFulin WangCheng LiuBaruch LevXuan Peng
- Topics
- Adaptive Control of Nonlinear Systems (10 papers)Auditing, Earnings Management, Governance (10 papers)Imbalanced Data Classification Techniques (8 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ting Sun
40 papers receiving 951 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Accounting 323
- Management Information Systems 277
- Management Science and Operations Research 226
- Artificial Intelligence 197
- Information Systems 158
Countries citing papers authored by Ting Sun
This map shows the geographic impact of Ting Sun'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 Ting Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Sun more than expected).
Fields of papers citing papers by Ting Sun
This network shows the impact of papers produced by Ting Sun. 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 Ting Sun. The network helps show where Ting Sun may publish in the future.
Co-authorship network of co-authors of Ting Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Sun. A scholar is included among the top collaborators of Ting Sun 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 Ting Sun. Ting Sun 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 43 | |
| 15 | 116 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 47 | |
| 19 | Research Ideas for Artificial Intelligence in Auditing: The Formalization of Audit and Workforce Supplementationbreakdown → | 247 |
| 20 | X-efficiency and Shareholder Returns: Evidence from Listed Commercial Banks | 0 |
About Ting Sun
Ting Sun is a scholar working on Accounting, Control and Systems Engineering and Management Science and Operations Research, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (10 papers), Auditing, Earnings Management, Governance (10 papers) and Imbalanced Data Classification Techniques (8 papers). The work is most often cited by research in Management Information Systems (277 citations), Accounting (323 citations) and Management Science and Operations Research (226 citations). Ting Sun has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Miklos A. Vasarhelyi, Hussein Issa, Li Zhang, Bing Xu, Fulin Wang, Cheng Liu, Baruch Lev, Xuan Peng, Chanyuan Zhang and Deniz Appelbaum. Their work appears in journals such as Physical Review Letters, Scientific Reports and Neural Computing and Applications.
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.