Yao Xiao
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction 11
- Finance top 5%
- Credit Risk and Financial Regulations 6
- Banking stability, regulation, efficiency 6
- Management Information Systems top 10%
- FinTech, Crowdfunding, Digital Finance 5
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 6
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- Silicon Nanostructures and Photoluminescence 9
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- Semiconductor materials and devices 7
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- Nanowire Synthesis and Applications 6
- Co-authors
- Brian K. KobilkaJonathan CrookGalina AndreevaRoger K. SunaharaXavier DeupíBrian T. DeVreeGisselle A. Vélez-RuizLean Yu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The EMBO Journal (1 paper)Applied Physics Letters (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yao Xiao
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Accounting 316
- Finance 188
- Cellular and Molecular Neuroscience 280
- Management Information Systems 59
- Artificial Intelligence 206
Countries citing papers authored by Yao Xiao
This map shows the geographic impact of Yao Xiao'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 Yao Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Xiao more than expected).
Fields of papers citing papers by Yao Xiao
This network shows the impact of papers produced by Yao Xiao. 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 Yao Xiao. The network helps show where Yao Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yao Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 1 | |
| 12 | 2014 | 33 | |
| 13 | 2014 | 80 | |
| 14 | 2012 | 3 | |
| 15 | 2011 | 74 | |
| 16 | 2009 | 147 | |
| 17 | 2002 | 11 | |
| 18 | 1993 | 17 | |
| 19 | 1992 | 2 | |
| 20 | 1992 | 12 |
About Yao Xiao
Yao Xiao is a scholar working on Accounting, Finance and Management Information Systems, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (11 papers), Silicon Nanostructures and Photoluminescence (9 papers), Semiconductor materials and devices (7 papers), Credit Risk and Financial Regulations (6 papers), Imbalanced Data Classification Techniques (6 papers), Nanowire Synthesis and Applications (6 papers), Banking stability, regulation, efficiency (6 papers) and FinTech, Crowdfunding, Digital Finance (5 papers). The work is most often cited by research in Accounting (316 citations), Finance (188 citations) and Cellular and Molecular Neuroscience (280 citations). Yao Xiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Brian K. Kobilka, Jonathan Crook, Galina Andreeva, Roger K. Sunahara, Xavier Deupí, Brian T. DeVree, Gisselle A. Vélez-Ruiz, Lean Yu, Matthew R. Whorton and Søren G. F. Rasmussen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Applied Physics Letters.
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.