Shaonan Tian

1.2k citations
24 papers · 776 indexed · 1 hit paper · h-index 11
Topics
Financial Distress and Bankruptcy Prediction (8 papers)Credit Risk and Financial Regulations (7 papers)Electrocatalysts for Energy Conversion (3 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Shaonan Tian

19 papers receiving 748 citations

Hit Papers

Deep learning models for bankruptcy prediction using text...2018202620202023201850100150200250

Peers

Shaonan Tian
Comparison fields: 5 of 111
  • Accounting 479
  • Finance 238
  • Artificial Intelligence 214
  • Management Science and Operations Research 125
  • Economics and Econometrics 105
Replace Hoon Cho with:
Hoon Cho South Korea
Fangming Xie China
Berna Kirkulak-Uludag Türkiye
Yi‐Shuai Ren China
Jakub Horák Czechia
Zhi Su China
Antonio Terceño Spain
Fen‐May Liou Taiwan
Fouad Jamaani Saudi Arabia
Stefano Gatti Italy
Shaonan Tian relative to Hoon Cho South Korea Hoon Cho's profile →
Citations per field
00.5×3.3×
Hoon Cho · 1×
Citations per year

Countries citing papers authored by Shaonan Tian

Since Specialization
Citations

This map shows the geographic impact of Shaonan 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 Shaonan Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaonan Tian more than expected).

Fields of papers citing papers by Shaonan Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaonan 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 Shaonan Tian. The network helps show where Shaonan Tian may publish in the future.

Co-authorship network of co-authors of Shaonan Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Shaonan Tian. A scholar is included among the top collaborators of Shaonan 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 Shaonan Tian. Shaonan Tian 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
#WorkIndexed citations
1 0
2 3
3 0
4 0
5 0
6 1
7 6
8 33
9 25
10 12
11 1
12 15
13
Deep learning models for bankruptcy prediction using textual disclosuresbreakdown →
272
14 1
15 1
16 55
17 94
18 14
19 192
20 30

About Shaonan Tian

Shaonan Tian is a scholar working on Finance, Accounting and Management Science and Operations Research, having authored 24 papers that have together received 776 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (8 papers), Credit Risk and Financial Regulations (7 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Accounting (479 citations), Finance (238 citations) and Management Science and Operations Research (125 citations). Shaonan Tian has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yan Yu, Hui Guo, Chihoon Lee, Ling Ma, Feng Mai, Yu Zhang, Hong Yang, Zhe Tian, Min Yang and Qing Bai. Their work appears in journals such as Nature, Journal of the American Statistical Association and Advanced Functional Materials.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026