Jiaxiang Yi

21 total papers · 453 total citations
15 papers, 342 citations indexed

About

Jiaxiang Yi is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Jiaxiang Yi has authored 15 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Statistics, Probability and Uncertainty and 9 papers in Management Science and Operations Research. Recurrent topics in Jiaxiang Yi's work include Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (10 papers) and Optimal Experimental Design Methods (7 papers). Jiaxiang Yi is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (12 papers), Probabilistic and Robust Engineering Design (10 papers) and Optimal Experimental Design Methods (7 papers). Jiaxiang Yi collaborates with scholars based in China, Netherlands and United States. Jiaxiang Yi's co-authors include Yuansheng Cheng, Qi Zhou, Jun Liu, Jun Liu, Peng Hao, Zeng Meng, Lin Qiao, Yuansheng Cheng, Miguel A. Bessa and Jun Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Information Sciences.

In The Last Decade

Jiaxiang Yi

14 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Jiaxiang Yi	220	208	95	90	53	15	342
Kais Zaman	257 1.2×	164 0.8×	70 0.7×	125 1.4×	20 0.4×	22	358
M. Li	187 0.8×	229 1.1×	49 0.5×	135 1.5×	38 0.7×	11	363
Dipankar Ghosh	129 0.6×	232 1.1×	72 0.8×	111 1.2×	52 1.0×	10	383
Glynn J. Sundararaj	119 0.5×	219 1.1×	56 0.6×	93 1.0×	43 0.8×	11	326
P. W. Aitchison	82 0.4×	156 0.8×	59 0.6×	79 0.9×	60 1.1×	23	371
P. B. Thanedar	127 0.6×	164 0.8×	149 1.6×	29 0.3×	45 0.8×	15	310
Philipp Limbourg	178 0.8×	127 0.6×	60 0.6×	48 0.5×	98 1.8×	14	390
Kurt Hacker	83 0.4×	151 0.7×	35 0.4×	74 0.8×	39 0.7×	24	366
Caiying Mi	279 1.3×	177 0.9×	99 1.0×	96 1.1×	5 0.1×	15	324
Vahid Keshavarzzadeh	189 0.9×	173 0.8×	221 2.3×	19 0.2×	17 0.3×	19	347

Countries citing papers authored by Jiaxiang Yi

Since Specialization

Citations

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

Fields of papers citing papers by Jiaxiang Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxiang Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxiang Yi. A scholar is included among the top collaborators of Jiaxiang Yi 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 Jiaxiang Yi. Jiaxiang Yi 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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