Ling Xin
Impact in
- Accounting top 5%
- Corporate Finance and Governance
- Auditing, Earnings Management, Governance
- Finance top 10%
- Financial Markets and Investment Strategies
Papers in
-
- Space Science and Extraterrestrial Life 5
- Space exploration and regulation 4
- Finance 6
- Financial Markets and Investment Strategies 6
- Co-authors
- Tom Smith (3 shared papers)Martina K. Linnenluecke (3 shared papers)Yi Feng (4 shared papers)Hong Zhao (1 shared paper)Yushu Zhu (2 shared papers)Jun Li (1 shared paper)Anhua Zhou (1 shared paper)Wang Zhang (3 shared papers)
- Journals
- Annals of Clinical and Translational Neurology (3 papers)Nature (2 papers)Frontiers in Sustainable Food Systems (2 papers)Accounting and Finance (2 papers)Pacific-Basin Finance Journal (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ling Xin
86 papers receiving 987 citations
Peers
Comparison fields: 5 of 147
- Accounting 111
- Finance 55
- Cellular and Molecular Neuroscience 79
- Anesthesiology and Pain Medicine 22
- Neurology 33
Countries citing papers authored by Ling Xin
This map shows the geographic impact of Ling Xin'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 Ling Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Xin more than expected).
Fields of papers citing papers by Ling Xin
This network shows the impact of papers produced by Ling Xin. 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 Ling Xin. The network helps show where Ling Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Xin, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2020 | 82 | |
| 3 | 2020 | 74 | |
| 4 | 2022 | 53 | |
| 5 | 2022 | 51 | |
| 6 | 2022 | 48 | |
| 7 | 2017 | 43 | |
| 8 | 2015 | 38 | |
| 9 | 2021 | 31 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2023 | 21 | |
| 14 | 2024 | 20 | |
| 15 | 2023 | 19 | |
| 16 | 2025 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2023 | 15 | |
| 20 | 2019 | 14 |
About Ling Xin
Ling Xin is a scholar working on Astronomy and Astrophysics, Finance, Nuclear and High Energy Physics, Gastroenterology and Accounting, having authored 106 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neutrino Physics Research (7 papers), Financial Markets and Investment Strategies (6 papers), Space Science and Extraterrestrial Life (5 papers), Space exploration and regulation (4 papers), Anesthesia and Pain Management (4 papers), Gastrointestinal disorders and treatments (3 papers), Dark Matter and Cosmic Phenomena (3 papers) and Energy, Environment, Economic Growth (3 papers). The work is most often cited by research in Accounting (111 citations), Finance (55 citations), Cellular and Molecular Neuroscience (79 citations), Anesthesiology and Pain Medicine (22 citations) and Neurology (33 citations). Ling Xin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tom Smith, Martina K. Linnenluecke, Yi Feng, Hong Zhao, Yushu Zhu, Jun Li, Anhua Zhou, Wang Zhang, Di Zhang and Yu Wu. Their work appears in journals such as Annals of Clinical and Translational Neurology, Nature, Frontiers in Sustainable Food Systems, Accounting and Finance and Pacific-Basin Finance Journal.
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.