Shun Kiyono

1.1k total citations
36 papers, 628 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 628 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 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shun Kiyono Japan 13 263 259 158 124 119 36 628
Huimin Gao China 12 41 0.2× 161 0.6× 70 0.4× 68 0.5× 152 1.3× 48 401
Xiao Peng Li China 15 49 0.2× 81 0.3× 120 0.8× 122 1.0× 36 0.3× 68 497
Huanlin Liu China 13 26 0.1× 115 0.4× 93 0.6× 21 0.2× 49 0.4× 81 699
Kok-Cheong Wong Malaysia 16 76 0.3× 430 1.7× 140 0.9× 231 1.9× 179 1.5× 52 775
Jiarui Lin China 13 11 0.0× 202 0.8× 169 1.1× 64 0.5× 45 0.4× 62 479
Dehong Yu China 12 104 0.4× 94 0.4× 131 0.8× 15 0.1× 24 0.2× 33 435
Mingzhen Shao China 9 142 0.5× 51 0.2× 72 0.5× 16 0.1× 72 0.6× 17 350
Xuemei Chen United States 10 52 0.2× 20 0.1× 65 0.4× 200 1.6× 78 0.7× 33 366

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

20 of 20 papers shown
1.
Takase, Sho & Shun Kiyono. (2023). Lessons on Parameter Sharing across Layers in Transformers. 78–90. 15 indexed citations
2.
Takase, Sho, Shun Kiyono, Sosuke Kobayashi, & Jun Suzuki. (2023). B2T Connection: Serving Stability and Performance in Deep Transformers. 3078–3095. 4 indexed citations
3.
Kobayashi, Sosuke, Shun Kiyono, Jun Suzuki, & Kentaro Inui. (2022). Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. 42–50. 3 indexed citations
4.
Kiyono, Shun, Sosuke Kobayashi, Jun Suzuki, & Kentaro Inui. (2021). SHAPE: Shifted Absolute Position Embedding for Transformers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3309–3321. 9 indexed citations
5.
Takase, Sho & Shun Kiyono. (2021). Rethinking Perturbations in Encoder-Decoders for Fast Training. 5767–5780. 24 indexed citations
6.
Kaneko, Masahiro, Masato Mita, Shun Kiyono, Jun Suzuki, & Kentaro Inui. (2020). Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. 4248–4254. 83 indexed citations
7.
Mita, Masato, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, & Kentaro Inui. (2020). A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. 267–280. 7 indexed citations
8.
Kiyono, Shun, et al.. (2020). Tohoku-AIP-NTT at WMT 2020 News Translation Task. Empirical Methods in Natural Language Processing. 145–155. 4 indexed citations
9.
Kiyono, Shun, Jun Suzuki, Masato Mita, Tomoya Mizumoto, & Kentaro Inui. (2019). An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. 1236–1242. 84 indexed citations
10.
Kiyono, Shun, Sho Takase, Jun Suzuki, et al.. (2018). Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. 74–81. 4 indexed citations
11.
Kiyono, Shun, Sho Takase, Jun Suzuki, et al.. (2018). Reducing Odd Generation from Neural Headline Generation. Tokyo Tech Research Repository (Tokyo Institute of Technology). 3 indexed citations
12.
Motoki, Takanori, Wei Gao, Shun Kiyono, & Takahito Ono. (2006). A nanoindentation instrument for mechanical property measurement of 3D micro/nano-structured surfaces. Measurement Science and Technology. 17(3). 495–499. 23 indexed citations
13.
Shimizu, Hideki, Shun Kiyono, Wei Gao, & Hiroto Shoji. (2005). A Biological Sensor for Detecting Foreign Bodies Using a Balloon Probe. Key engineering materials. 295-296. 133–138. 2 indexed citations
14.
Gao, Wei, J. Yokoyama, Shun Kiyono, & N. Hitomi. (2005). A Scanning Multi-Probe Straightness Measurement System for Alignment of Linear Collider Accelerator. Key engineering materials. 295-296. 253–258. 3 indexed citations
15.
Arai, Yoshikazu, Wei Gao, Shun Kiyono, & Tsunemoto Kuriyagawa. (2005). Measurement of the Straightness of a Leadscrew-Driven Precision Stage. Key engineering materials. 295-296. 259–264. 6 indexed citations
16.
Aoki, Junken, Wei Gao, Shun Kiyono, & Takahito Ono. (2005). A High Precision AFM for Nanometrology of Large Area Micro-Structured Surfaces. Key engineering materials. 295-296. 65–70.
17.
Gao, Wei, et al.. (2004). A dual-mode surface encoder for position measurement. Sensors and Actuators A Physical. 117(1). 95–102. 37 indexed citations
18.
Gao, Wei, et al.. (2003). Precision Measurement of Two-Axis Positions and Tilt Motions Using a Surface Encoder. CIRP Annals. 52(1). 435–438. 58 indexed citations
19.
Gao, Wei, et al.. (2002). Measurement and control of rolling of a precision moving table. 1. 70–74. 3 indexed citations
20.
Gao, Wei, et al.. (2002). Precision Measurement of Multi-Degree-of-Freedom Spindle Errors Using Two-dimensional Slope Sensors. CIRP Annals. 51(1). 447–450. 44 indexed citations

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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