Shun Kiyono

68 total papers · 1.1k total citations
36 papers, 625 citations indexed

About

Shun Kiyono is a scholar working on Artificial Intelligence, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Shun Kiyono has authored 36 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Mechanical Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Shun Kiyono's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Advanced Measurement and Metrology Techniques (12 papers). Shun Kiyono is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Advanced Measurement and Metrology Techniques (12 papers). Shun Kiyono collaborates with scholars based in Japan and United States. Shun Kiyono's co-authors include Jun Suzuki, Wei Gao, Kentaro Inui, Peisen S. Huang, Masato Mita, Sho Takase, Tomoya Mizumoto, Masahiro Kaneko, Yuki Shimizu and Eiichi Satoh and has published in prestigious journals such as Review of Scientific Instruments, CIRP Annals and Sensors and Actuators A Physical.

In The Last Decade

Shun Kiyono

34 papers receiving 577 citations

Author Peers

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

Author						Papers	Cites
Shun Kiyono	260	259	157	124	119	36	625
Gérard Berthiau	127 0.5×	212 0.8×	45 0.3×	35 0.3×	46 0.4×	38	699
Ming Lu	106 0.4×	46 0.2×	42 0.3×	193 1.6×	47 0.4×	19	621
Junhwan Kim	78 0.3×	86 0.3×	33 0.2×	68 0.5×	70 0.6×	30	725
Justin Zhan	165 0.6×	42 0.2×	61 0.4×	45 0.4×	107 0.9×	43	572
Sabbir Rangwala	105 0.4×	360 1.4×	18 0.1×	36 0.3×	142 1.2×	20	745
R.A. Kisner	253 1.0×	173 0.7×	34 0.2×	16 0.1×	34 0.3×	49	682
Amin Jalali	131 0.5×	90 0.3×	164 1.0×	111 0.9×	99 0.8×	35	632
Chuang Wang	318 1.2×	32 0.1×	159 1.0×	36 0.3×	45 0.4×	38	567
Haiyue Zhu	76 0.3×	204 0.8×	93 0.6×	36 0.3×	113 0.9×	59	780
Siyuan Chen	85 0.3×	62 0.2×	177 1.1×	19 0.2×	132 1.1×	42	600

Countries citing papers authored by Shun Kiyono

Since Specialization

Citations

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

Fields of papers citing papers by Shun Kiyono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Kiyono

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

All Works

Loading papers...

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