Dingjun Yao
Impact in
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- Probability and Risk Models
- Demography top 2%
- Insurance, Mortality, Demography, Risk Management
Papers in
- Demography 28
- Insurance, Mortality, Demography, Risk Management 28
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- Probability and Risk Models 24
- Risk and Portfolio Optimization 2
- Co-authors
- Rongming Wang (16 shared papers)Hailiang Yang (4 shared papers)Lin Xu (13 shared papers)Yuanyuan Qian (1 shared paper)Deliang Zhang (1 shared paper)Ming Zhou (1 shared paper)Rui Xu (2 shared papers)Xiaoqiang Cheng (1 shared paper)
In The Last Decade
Dingjun Yao
32 papers receiving 468 citations
Dingjun Yao's Hit Papers
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 223
- Demography 206
- Finance 142
- Economics and Econometrics 296
- Management Information Systems 69
Countries citing papers authored by Dingjun Yao
This map shows the geographic impact of Dingjun Yao'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 Dingjun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingjun Yao more than expected).
Fields of papers citing papers by Dingjun Yao
This network shows the impact of papers produced by Dingjun Yao. 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 Dingjun Yao. The network helps show where Dingjun Yao may publish in the future.
Co-authors
The 21 scholars most cited alongside Dingjun Yao, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How does fintech influence carbon emissions: Evidence from China's prefecture-level cities Hit paper breakdown → | 2023 | 120 |
| 2 | 2023 | 71 | |
| 3 | 2011 | 64 | |
| 4 | 2008 | 32 | |
| 5 | 2017 | 30 | |
| 6 | 2013 | 23 | |
| 7 | 2010 | 21 | |
| 8 | 2014 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2024 | 11 | |
| 11 | 2016 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2007 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 4 |
About Dingjun Yao
Dingjun Yao is a scholar working on Demography, Management Science and Operations Research, Economics and Econometrics, Finance and Management Information Systems, having authored 37 papers that have together received 498 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (28 papers), Probability and Risk Models (24 papers), Insurance and Financial Risk Management (17 papers), Stochastic processes and financial applications (11 papers), Energy, Environment, Economic Growth (3 papers), Economic theories and models (3 papers), FinTech, Crowdfunding, Digital Finance (2 papers) and Risk and Portfolio Optimization (2 papers). The work is most often cited by research in Management Science and Operations Research (223 citations), Demography (206 citations), Finance (142 citations), Economics and Econometrics (296 citations) and Management Information Systems (69 citations). Dingjun Yao has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Rongming Wang, Hailiang Yang, Lin Xu, Yuanyuan Qian, Deliang Zhang, Ming Zhou, Rui Xu, Xiaoqiang Cheng, Bin Wang and Guangjun Shen. Their work appears in journals such as Journal of Industrial and Management Optimization, Finance research letters, International Review of Financial Analysis, Abstract and Applied Analysis and Journal of Optimization Theory and Applications.
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.