Jing Yao

1.6k total citations
54 papers, 988 citations indexed

About

Jing Yao is a scholar working on Materials Chemistry, Finance and Management Science and Operations Research. According to data from OpenAlex, Jing Yao has authored 54 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 13 papers in Finance and 10 papers in Management Science and Operations Research. Recurrent topics in Jing Yao's work include Risk and Portfolio Optimization (9 papers), Stochastic processes and financial applications (8 papers) and Insurance, Mortality, Demography, Risk Management (8 papers). Jing Yao is often cited by papers focused on Risk and Portfolio Optimization (9 papers), Stochastic processes and financial applications (8 papers) and Insurance, Mortality, Demography, Risk Management (8 papers). Jing Yao collaborates with scholars based in China, United Kingdom and Belgium. Jing Yao's co-authors include Ravinder Reddy, M.S. Keshavan, Haiqun Chen, Zhifeng Gao, Guangyu He, Qi Meng, Steven Vanduffel, Jianxing Liang, Yitao Zhao and Longbo Luo and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of Applied Physics and Journal of Hazardous Materials.

In The Last Decade

Jing Yao

49 papers receiving 964 citations

Peers

Jing Yao
Comparison fields: 5 of 129
  • Materials Chemistry 307
  • Renewable Energy, Sustainability and the Environment 176
  • Polymers and Plastics 118
  • Psychiatry and Mental health 108
  • Water Science and Technology 108
Replace Lishu Zhang with:
Lishu Zhang China
Jingxian Li China
Yanlin Wang China
Shuangli Chen China
Jiahao Pan China
Cornelius Gropp Israel
Qinyu Wang China
Yuanyuan Liu China
Ping Yin China
Ziyun Zhang China
Lishu Zhang China View profile →
Citations per field, relative to Jing Yao
Jing Yao · 1×
Citations per year, relative to Jing Yao
Jing Yao · 1×

Countries citing papers authored by Jing Yao

Since Specialization
Citations

This map shows the geographic impact of Jing 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 Jing Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yao more than expected).

Fields of papers citing papers by Jing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing 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 Jing Yao. The network helps show where Jing Yao may publish in the future.

Co-authorship network of co-authors of Jing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yao. A scholar is included among the top collaborators of Jing 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 Jing Yao. Jing 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
# Work Indexed citations
1 0
2 1
3 3
4 3
5 1
6 1
7 1
8 6
9 1
10 42
11 73
12 59
13 9
14 0
15 9
16 21
17 40
18 50
19 4
20 9

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026