Yuyao Kong

875 citations
23 papers · 595 · h-index 10

Impact in

Papers in

Yuyao Kong

21 papers receiving 582 citations

Peers

Yuyao Kong
Comparison fields: 5 of 97
  • Hardware and Architecture 65
  • Biophysics 48
  • Electrical and Electronic Engineering 238
  • Aging 7
  • Molecular Biology 198
Replace Noriko Hiroi with:
Noriko Hiroi Japan
Y. X. Rachel Wang United States
Vipul Singhal India
Robert Henschel United States
Zichuan Liu China
Hongyi Xin United States
Yoo-Ah Kim United States
Rafael Sebastián Spain
James Southern United Kingdom
George Zaki United States
Yuyao Kong relative to Noriko Hiroi Japan Noriko Hiroi's profile →
Citations per field
00.5×5.8×
Noriko Hiroi · 1×
Citations per year

Countries citing papers authored by Yuyao Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yuyao Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuyao Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuyao Kong Line = papers co-authored together Yuyao Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2019113
3 201478
4 202358
5 202334
6 201431
7 201928
8 201026
9 202118
10 200611
11 20238
12 20228
13 20217
14 20225
15 20215
16 20204
17 20243
18 20103
19 20252
20 20252

About Yuyao Kong

Yuyao Kong is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 23 papers that have together received 595 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers), CCD and CMOS Imaging Sensors (4 papers), Neuroscience and Neural Engineering (3 papers), Semiconductor materials and devices (3 papers), Advanced Neural Network Applications (3 papers), Pancreatic function and diabetes (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (65 citations), Biophysics (48 citations), Electrical and Electronic Engineering (238 citations), Aging (7 citations) and Molecular Biology (198 citations). Yuyao Kong has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Yang, Bo Wang, Shouyi Yin, Yan Liu, Zhen Wang, Richard H. Scheuermann, Qian Yu, Xin Si, Rhonda Bassel‐Duby and Jennifer Cai. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Journal of Solid-State Circuits, EMBO Molecular Medicine, Frontiers in Plant Science and HortScience.

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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