Yuyao Kong

875 total citations
23 papers, 595 citations indexed

About

Yuyao Kong is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuyao Kong has authored 23 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuyao Kong's work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and CCD and CMOS Imaging Sensors (4 papers). Yuyao Kong is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and CCD and CMOS Imaging Sensors (4 papers). Yuyao Kong collaborates with scholars based in China, United States and Taiwan. Yuyao Kong's co-authors include Jun Yang, Bo Wang, Shouyi Yin, Yan Liu, Zhen Wang, Richard H. Scheuermann, Qian Yu, Xin Si, Chungwen Wei and John P. Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Journal of Solid-State Circuits.

In The Last Decade

Yuyao Kong

21 papers receiving 582 citations

Peers

Yuyao Kong
Noriko Hiroi Japan
Y. X. Rachel Wang United States
Qiuping Deng China
Tony Sun United States
Yoo-Ah Kim United States
Gang Hu China
Mieszko Lis United States
Chun-Hsi Huang United States
Francesco Gregoretti Italy
Zichuan Liu China
Noriko Hiroi Japan
Yuyao Kong
Citations per year, relative to Yuyao Kong Yuyao Kong (= 1×) peers Noriko Hiroi

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-authorship network of co-authors of Yuyao Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Yuyao Kong. A scholar is included among the top collaborators of Yuyao Kong 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 Yuyao Kong. Yuyao Kong 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.
Xu, Weijun, Chao Zhang, Rong Xu, et al.. (2025). E-Nose and HS-SPME-GC-MS unveiling the scent signature of Ligusticum chuanxiong and its medicinal relatives. Frontiers in Plant Science. 16. 1476810–1476810. 2 indexed citations
2.
Xiao, Ye, Song Chen, Weijun Xu, et al.. (2025). Multi-omics elucidation of ZnO quantum dots enhancing growth and bioactive compound biosynthesis in Ligusticum chuanxiong Hort. Scientia Horticulturae. 349. 114277–114277.
3.
Huang, Wei-Hsing, et al.. (2025). Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference. 693–699. 2 indexed citations
4.
Chen, Xi, Jinwu Chen, Zhaoyang Zhang, et al.. (2024). Toggle Rate Aware Quantization Model Based on Digital Floating-Point Computing-In-Memory Architecture. IEEE Transactions on Circuits & Systems II Express Briefs. 71(6). 3181–3185. 3 indexed citations
5.
Zhang, Zhaoyang, Jinwu Chen, Xi Chen, et al.. (2023). From macro to microarchitecture: reviews and trends of SRAM-based compute-in-memory circuits. Science China Information Sciences. 66(10). 8 indexed citations
6.
Kong, Yuyao, Yixuan Li, Leibo Liu, et al.. (2022). DATIC: A Data-Aware Time-Domain Computing-in-Memory-Based CNN Processor With Dynamic Channel Skipping and Mapping. SHILAP Revista de lepidopterología. 2. 244–258. 1 indexed citations
7.
Wang, Bo, Chen Xue, Xiang Li, et al.. (2022). SNNIM: A 10T-SRAM based Spiking-Neural-Network-In-Memory architecture with capacitance computation. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 3383–3387. 5 indexed citations
8.
Kong, Yuyao, Xi Chen, Xin Si, & Jun Yang. (2022). Evaluation Platform of Time-Domain Computing-in-Memory Circuits. IEEE Transactions on Circuits & Systems II Express Briefs. 70(3). 1174–1178. 8 indexed citations
9.
Kong, Yuyao, Zhao Zhang, Jing Zhou, et al.. (2021). TIMAQ: A Time-Domain Computing-in-Memory-Based Processor Using Predictable Decomposed Convolution for Arbitrary Quantized DNNs. IEEE Journal of Solid-State Circuits. 56(10). 3021–3038. 18 indexed citations
10.
11.
Zhou, Yongliang, Yuyao Kong, Bo Wang, et al.. (2021). Design Methodology towards High-Precision SRAM based Computation-in-Memory for AI Edge Devices. 195–196. 5 indexed citations
12.
Kong, Yuyao, Zhao Zhang, Jing Zhou, et al.. (2020). A Time-Domain Computing-in-Memory based Processor using Predictable Decomposed Convolution for Arbitrary Quantized DNNs. 1–4. 4 indexed citations
13.
14.
Yang, Jun, Yuyao Kong, Zhen Wang, et al.. (2019). 24.4 Sandwich-RAM: An Energy-Efficient In-Memory BWN Architecture with Pulse-Width Modulation. 394–396. 113 indexed citations
15.
Baskin, Kedryn K., Chad E. Grueter, Christine M. Kusminski, et al.. (2014). MED 13‐dependent signaling from the heart confers leanness by enhancing metabolism in adipose tissue and liver. EMBO Molecular Medicine. 6(12). 1610–1621. 78 indexed citations
16.
Long, Chengzu, Chad E. Grueter, Kunhua Song, et al.. (2014). Ataxia and Purkinje cell degeneration in mice lacking the CAMTA1 transcription factor. Proceedings of the National Academy of Sciences. 111(31). 11521–11526. 31 indexed citations
17.
Kong, Yuyao, et al.. (2010). Toward an ontology-based framework for clinical research databases. Journal of Biomedical Informatics. 44(1). 48–58. 26 indexed citations
18.
19.
Chen, Zhongxue, Monnie McGee, Qingzhong Liu, et al.. (2010). Identifying Differentially Expressed Genes based on probe level data for GeneChip arrays. International Journal of Computational Biology and Drug Design. 3(3). 237–237. 3 indexed citations
20.
Kong, Yuyao, Raymond J. MacDonald, Xiaofei Wen, et al.. (2006). A comprehensive survey of DNA-binding transcription factor gene expression in human fetal and adult organs. Gene Expression Patterns. 6(7). 678–686. 11 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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