Ting Sun

1.7k total citations · 1 hit paper
43 papers, 1.0k citations indexed

About

Ting Sun is a scholar working on Control and Systems Engineering, Accounting and Artificial Intelligence. According to data from OpenAlex, Ting Sun has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 12 papers in Accounting and 10 papers in Artificial Intelligence. Recurrent topics in Ting Sun's work include Adaptive Control of Nonlinear Systems (10 papers), Auditing, Earnings Management, Governance (10 papers) and Imbalanced Data Classification Techniques (8 papers). Ting Sun is often cited by papers focused on Adaptive Control of Nonlinear Systems (10 papers), Auditing, Earnings Management, Governance (10 papers) and Imbalanced Data Classification Techniques (8 papers). Ting Sun collaborates with scholars based in China, United States and Netherlands. Ting Sun's 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 and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Neural Computing and Applications.

In The Last Decade

Ting Sun

40 papers receiving 951 citations

Hit Papers

Research Ideas for Artificial Intelligence in Auditing: T... 2016 2026 2019 2022 2016 50 100 150 200

Peers

Ting Sun
Comparison fields: 5 of 107
  • Accounting 323
  • Management Information Systems 277
  • Management Science and Operations Research 226
  • Artificial Intelligence 197
  • Information Systems 158
Hsin‐Vonn Seow Malaysia
Feng Shen China
David Martens Belgium
Xiaoqian Zhu China
Stefanka Chukova New Zealand
C. Zopounidis Greece
Cuicui Luo China
Muhammad Usman Tariq United Arab Emirates
Hsin‐Vonn Seow Malaysia View profile →
Citations per field, relative to Ting Sun
Ting Sun · 1×
Citations per year, relative to Ting Sun
Ting Sun · 1×

Countries citing papers authored by Ting Sun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 Supplementation breakdown →
247
20
X-efficiency and Shareholder Returns: Evidence from Listed Commercial Banks
0

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.

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