Kaiyuan Guo

3.2k total citations · 2 hit papers
59 papers, 2.0k citations indexed

About

Kaiyuan Guo is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Kaiyuan Guo has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 18 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Kaiyuan Guo's work include Advanced Neural Network Applications (15 papers), CCD and CMOS Imaging Sensors (9 papers) and Silicon and Solar Cell Technologies (7 papers). Kaiyuan Guo is often cited by papers focused on Advanced Neural Network Applications (15 papers), CCD and CMOS Imaging Sensors (9 papers) and Silicon and Solar Cell Technologies (7 papers). Kaiyuan Guo collaborates with scholars based in China, United States and South Korea. Kaiyuan Guo's co-authors include Huazhong Yang, Jincheng Yu, Song Yao, Jiantao Qiu, Yu Wang, Tianqi Tang, Boxun Li, Erjin Zhou, Sen Song and Jie Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and IEEE Transactions on Automatic Control.

In The Last Decade

Kaiyuan Guo

52 papers receiving 2.0k citations

Hit Papers

Going Deeper with Embedded FPGA Platform for Convolutiona... 2016 2026 2019 2022 2016 2017 250 500 750

Peers

Kaiyuan Guo
Comparison fields: 5 of 130
  • Computer Vision and Pattern Recognition 1.2k
  • Electrical and Electronic Engineering 1.1k
  • Artificial Intelligence 555
  • Hardware and Architecture 251
  • Computer Networks and Communications 110
Replace Kaisheng Ma with:
Kaisheng Ma China
Camel Tanougast France
Xiaoliang Dai United States
Zhi Zhang China
Peizhao Zhang United States
Xiaojun Zhai United Kingdom
Xiaofu Wu China
Rajesh Mehra India
Anurag Mittal India
Yiming Wu China
Kaisheng Ma China View profile →
Citations per field, relative to Kaiyuan Guo
Kaiyuan Guo · 1×
Citations per year, relative to Kaiyuan Guo
Kaiyuan Guo · 1×

Countries citing papers authored by Kaiyuan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyuan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyuan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyuan Guo. A scholar is included among the top collaborators of Kaiyuan Guo 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 Kaiyuan Guo. Kaiyuan Guo 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 6
3 0
4 2
5 1
6 4
7 9
8 5
9 1
10 11
11 30
12 19
13 1
14 9
15 12
16 19
17 24
18 1
19 19
20
Jovens universitários em um mundo em transformação : uma pesquisa sino-brasileira
1

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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