Xiaojing Cai
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Health Informatics top 10%
Papers in
-
- COVID-19 epidemiological studies 7
- Finance 10
- Global Financial Crisis and Policies 4
- Financial Risk and Volatility Modeling 4
- Journals
- Scientometrics (4 papers)Energies (2 papers)PLoS ONE (2 papers)Frontiers in Pediatrics (1 paper)Medicine (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiaojing Cai
33 papers receiving 425 citations
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 52
- Health Informatics 14
- Statistics, Probability and Uncertainty 72
- Information Systems and Management 43
- General Energy 4
Countries citing papers authored by Xiaojing Cai
This map shows the geographic impact of Xiaojing Cai'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 Xiaojing Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Cai more than expected).
Fields of papers citing papers by Xiaojing Cai
This network shows the impact of papers produced by Xiaojing Cai. 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 Xiaojing Cai. The network helps show where Xiaojing Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaojing Cai, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 75 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 38 | |
| 14 | 2020 | 103 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 31 | |
| 17 | A bibliometric perspective on the roles of government funding and international collaboration in scientific research. | 2019 | 2 |
| 18 | 2019 | 9 | |
| 19 | 2019 | 19 | |
| 20 | Funding, collaboration and research performance: A comparative study of leading universities in China and the USA | 2018 | 1 |
About Xiaojing Cai
Xiaojing Cai is a scholar working on Modeling and Simulation, Finance, Statistics, Probability and Uncertainty, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 37 papers that have together received 436 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (12 papers), COVID-19 epidemiological studies (7 papers), Monetary Policy and Economic Impact (7 papers), scientometrics and bibliometrics research (7 papers), COVID-19 Pandemic Impacts (4 papers), Global Financial Crisis and Policies (4 papers), Financial Risk and Volatility Modeling (4 papers) and Energy, Environment, Economic Growth (3 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Health Informatics (14 citations), Statistics, Probability and Uncertainty (72 citations), Information Systems and Management (43 citations) and General Energy (4 citations). Xiaojing Cai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Caroline S. Wagner, Caroline Fry, Yi Zhang, Shigeyuki Hamori, Zhou Ping, Mengjia Wu, Lu Yang, Wei Yang, Shuairu Tian and Katsuyuki Tanaka. Their work appears in journals such as Scientometrics, Energies, PLoS ONE, Frontiers in Pediatrics and Medicine.
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.