Kai Yao

34 total papers · 919 total citations
24 papers, 768 citations indexed

About

Kai Yao is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance. According to data from OpenAlex, Kai Yao has authored 24 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 16 papers in Management Science and Operations Research and 4 papers in Finance. Recurrent topics in Kai Yao's work include Fuzzy Systems and Optimization (18 papers), Multi-Criteria Decision Making (13 papers) and Risk and Portfolio Optimization (5 papers). Kai Yao is often cited by papers focused on Fuzzy Systems and Optimization (18 papers), Multi-Criteria Decision Making (13 papers) and Risk and Portfolio Optimization (5 papers). Kai Yao collaborates with scholars based in China. Kai Yao's co-authors include Jin Peng, Baoding Liu, Zhongfeng Qin, Xiaoyu Ji, Zongfei Fu, Jichang Dong, Ma. Regina M. Hechanova, Xiaowei Chen, Xiangfeng Yang and Jinwu Gao and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Computers & Industrial Engineering and Soft Computing.

In The Last Decade

Kai Yao

24 papers receiving 738 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai Yao 567 438 194 145 130 24 768
Lifen Jia 233 0.4× 464 1.1× 154 0.8× 72 0.5× 54 0.4× 45 760
Альберт Николаевич Ширяев 178 0.3× 193 0.4× 354 1.8× 91 0.6× 40 0.3× 29 845
Haya Kaspi 177 0.3× 213 0.5× 125 0.6× 51 0.4× 29 0.2× 39 813
A. P. Korostelev 286 0.5× 163 0.4× 104 0.5× 73 0.5× 95 0.7× 38 700
Chien-Fu Wu 441 0.8× 358 0.8× 45 0.2× 81 0.6× 33 0.3× 18 839
Yaodong Ni 218 0.4× 257 0.6× 24 0.1× 108 0.7× 48 0.4× 57 732
Jaap Geluk 222 0.4× 292 0.7× 404 2.1× 116 0.8× 83 0.6× 39 744
Vijay Gupta 352 0.6× 105 0.2× 59 0.3× 150 1.0× 267 2.1× 55 748
Miguel López-Dı́az 575 1.0× 483 1.1× 32 0.2× 141 1.0× 64 0.5× 52 694
Warren Gilchrist 285 0.5× 156 0.4× 53 0.3× 52 0.4× 13 0.1× 26 803

Countries citing papers authored by Kai Yao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yao. A scholar is included among the top collaborators of Kai 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 Kai Yao. Kai Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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