Dingjun Yao

704 citations
38 papers · 481 indexed · 1 hit paper · h-index 10
Topics
Insurance, Mortality, Demography, Risk Management (29 papers)Probability and Risk Models (25 papers)Insurance and Financial Risk Management (18 papers)
Partner nations
ChinaHong KongAustralia

In The Last Decade

Dingjun Yao

32 papers receiving 451 citations

Hit Papers

How does fintech influence carbon emissions: Evidence fro...20232026202420252023255075100

Peers

Dingjun Yao
Comparison fields: 5 of 56
  • Economics and Econometrics 295
  • Management Science and Operations Research 226
  • Demography 211
  • Finance 142
  • Management Information Systems 68
Replace Min‐Teh Yu with:
Min‐Teh Yu Taiwan
Valeria D’Amato Italy
Bin Zou United States
Paolo Vanini Switzerland
Giacomo Sbrana France
María Rosa Borges Portugal
Michael Hanke Liechtenstein
Geoff Kenny Germany
Jimmy E. Hilliard United States
Nikolas Topaloglou Greece
Dingjun Yao relative to Min‐Teh Yu Taiwan Min‐Teh Yu's profile →
Citations per field
00.5×1.5×2.5×
Min‐Teh Yu · 1×
Citations per year

Countries citing papers authored by Dingjun Yao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dingjun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Dingjun Yao. A scholar is included among the top collaborators of Dingjun Yao 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 Dingjun Yao. Dingjun Yao 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 2
2 0
3 4
4 2
5 0
6 9
7 5
8 5
9 7
10 30
11 4
12 8
13 1
14 1
15 23
16 3
17 64
18 22
19 2
20 32

About Dingjun Yao

Dingjun Yao is a scholar working on Demography, Management Science and Operations Research and Finance, having authored 38 papers that have together received 481 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (29 papers), Probability and Risk Models (25 papers) and Insurance and Financial Risk Management (18 papers). The work is most often cited by research in Management Science and Operations Research (226 citations), Demography (211 citations) and Finance (142 citations). Dingjun Yao has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Rongming Wang, Hailiang Yang, Lin Xu, Rui Xu, Ming Zhou, Yuanyuan Qian, Bin Wang, Xiaoqiang Cheng, Deliang Zhang and Guangjun Shen. Their work appears in journals such as European Journal of Operational Research, International Journal of Control and Computers & Mathematics with 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.

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