Jun Tao

713 total citations
78 papers, 473 citations indexed

About

Jun Tao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Jun Tao has authored 78 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 19 papers in Hardware and Architecture and 13 papers in Artificial Intelligence. Recurrent topics in Jun Tao's work include Low-power high-performance VLSI design (21 papers), VLSI and FPGA Design Techniques (19 papers) and VLSI and Analog Circuit Testing (16 papers). Jun Tao is often cited by papers focused on Low-power high-performance VLSI design (21 papers), VLSI and FPGA Design Techniques (19 papers) and VLSI and Analog Circuit Testing (16 papers). Jun Tao collaborates with scholars based in China, United States and Switzerland. Jun Tao's co-authors include Xuan Zeng, Dian Zhou, Yangfeng Su, Xin Li, Changhao Yan, Jiayu Wan, Xin Li, Yang Liu, Sihui Chen and Fan Yang and has published in prestigious journals such as Journal of The Electrochemical Society, Energy and Joule.

In The Last Decade

Jun Tao

68 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Tao China 12 267 91 84 75 54 78 473
Dil Muhammad Akbar Hussain Denmark 12 238 0.9× 82 0.9× 66 0.8× 32 0.4× 106 2.0× 81 410
Fangming Ye United States 14 385 1.4× 192 2.1× 129 1.5× 37 0.5× 82 1.5× 31 607
Vančo Litovski Serbia 13 394 1.5× 144 1.6× 74 0.9× 82 1.1× 112 2.1× 107 566
Eduardo Augusto Bezerra Brazil 15 330 1.2× 141 1.5× 45 0.5× 22 0.3× 28 0.5× 86 653
M.J. Moure Spain 8 347 1.3× 181 2.0× 34 0.4× 68 0.9× 161 3.0× 33 581
Omkar Pathak United States 3 177 0.7× 69 0.8× 92 1.1× 16 0.2× 21 0.4× 4 327
R. Gutiérrez Spain 12 385 1.4× 24 0.3× 41 0.5× 71 0.9× 63 1.2× 43 577
Seung Eun Lee South Korea 11 154 0.6× 141 1.5× 59 0.7× 53 0.7× 22 0.4× 70 405
Charles Chiang United States 14 486 1.8× 167 1.8× 59 0.7× 76 1.0× 8 0.1× 40 599

Countries citing papers authored by Jun Tao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tao. A scholar is included among the top collaborators of Jun Tao 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 Jun Tao. Jun Tao 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.
Wang, Shangwen, et al.. (2025). Spatiotemporal Meta-Reinforcement Learning for Multi-USV Adversarial Games Using a Hybrid GAT-Transformer. Journal of Marine Science and Engineering. 13(8). 1593–1593. 1 indexed citations
3.
Wu, Kun, Yuncheng Liu, Hui Gao, et al.. (2024). Efficient Design Optimization for Diffractive Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(3). 1199–1203.
4.
Jiao, Bo, Lei Xu, Yu Wang, et al.. (2024). FPIA: Communication-Aware Multi-Chiplet Integration With Field-Programmable Interconnect Fabric on Reusable Silicon Interposer. IEEE Transactions on Circuits and Systems I Regular Papers. 71(9). 4156–4168. 3 indexed citations
5.
Tao, Jun, et al.. (2023). SPARK: An automatic Score-Power-Area efficient RISC-V processor microarchitecture SeeKer. Microelectronics Journal. 132. 105679–105679. 2 indexed citations
6.
Yang, Fan, et al.. (2023). Yield Optimization for Analog Circuits over Multiple Corners via Bayesian Neural Networks: Enhancing Circuit Reliability under Environmental Variation. ACM Transactions on Design Automation of Electronic Systems. 29(1). 1–17.
7.
Liu, Jiaming, et al.. (2023). A Low Valid Throughput Loss LDPC Codec Architecture With Variable Code Rate. IEEE Transactions on Circuits & Systems II Express Briefs. 71(5). 2644–2648.
8.
Zeng, Dewen, et al.. (2023). Self-Supervised On-Device Federated Learning From Unlabeled Streams. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(12). 4871–4882. 5 indexed citations
9.
Wang, Fa, et al.. (2022). Correlated Bayesian Model Fusion: Efficient High-Dimensional Performance Modeling of Analog/RF Integrated Circuits Over Multiple Corners. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(2). 360–370. 5 indexed citations
10.
Li, Zhen, Su Zheng, Jide Zhang, et al.. (2022). Adaptable Approximate Multiplier Design Based on Input Distribution and Polarity. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(12). 1813–1826. 13 indexed citations
11.
Wu, Kun, et al.. (2022). Efficient Statistical Parameter Extraction for Modeling MOSFET Mismatch. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(5). 1618–1622. 1 indexed citations
12.
Tao, Jun, et al.. (2021). Correlated Rare Failure Analysis via Asymptotic Probability Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(4). 813–826. 1 indexed citations
13.
Han, Jun, et al.. (2021). MC-LSTM: Real-Time 3D Human Action Detection System for Intelligent Healthcare Applications. IEEE Transactions on Biomedical Circuits and Systems. 15(2). 259–269. 27 indexed citations
14.
Tao, Jun, et al.. (2021). Fast Statistical Analysis of Rare Failure Events With Truncated Normal Distribution in High-Dimensional Variation Space. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(3). 789–793. 5 indexed citations
15.
Tao, Jun, et al.. (2020). Efficient Statistical Analysis for Correlated Rare Failure Events via Asymptotic Probability Approximation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4971–4984. 3 indexed citations
16.
Tao, Jun, et al.. (2019). Efficient Rare Failure Analysis Over Multiple Corners via Correlated Bayesian Inference. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 2029–2041. 4 indexed citations
17.
Tao, Jun, et al.. (2019). Efficient Parametric Yield Estimation Over Multiple Process Corners via Bayesian Inference Based on Bernoulli Distribution. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 3144–3148. 5 indexed citations
18.
Chen, Yingyu, et al.. (2018). A Synthesizable Constant Tuning Gain Technique for Wideband $LC$ -VCO Design. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(1). 14–24. 11 indexed citations
19.
Yi, Yang, et al.. (2017). Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task.. International Joint Conference on Natural Language Processing. 41–46. 20 indexed citations
20.
Zhou, Hai, et al.. (2009). Provably good and practically efficient algorithms for CMP. Design Automation Conference. 539–544. 3 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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