Bei Yu

350 papers receiving 5.4k citations

Bei Yu's Hit Papers

ChatEDA: A Large Language Model Powered Autonomous Agent for EDA 2024 · 51 citations
510+2+5Years since publication100200300

Peers

Bei Yu
Comparison fields: 5 of 115
  • Hardware and Architecture 1.7k
  • Industrial and Manufacturing Engineering 953
  • Electrical and Electronic Engineering 3.7k
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Graphics and Computer-Aided Design 169
Replace David Z. Pan with:
David Z. Pan United States
Rob A. Rutenbar United States
Jason Cong United States
Martin D. F. Wong United States
Sparsh Mittal India
Yuzhe Ma Hong Kong
Huazhong Yang China
Francky Catthoor Belgium
Chung‐Kuan Cheng United States
Fan Yang China
Bei Yu relative to David Z. Pan United States David Z. Pan's profile →
Citations per field
00.5×1.5×1.8×
David Z. Pan · 1×
Citations per year

Countries citing papers authored by Bei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Bei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bei Yu, 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 Bei Yu Line = papers co-authored together Bei Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 394 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recent advances in convolutional neural network acceleration
Hit paper breakdown →
2018302
2 2021180
3 202096
4 201891
5 201989
6 201389
7 201681
8 201780
9 201677
10 202277
11 201571
12 202167
13 201965
14 201461
15 202160
16 201759
17 201557
18 201553
19 201952
20
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
Hit paper breakdown →
202451

About Bei Yu

Bei Yu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 394 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (141 papers), VLSI and FPGA Design Techniques (115 papers), VLSI and Analog Circuit Testing (76 papers), Integrated Circuits and Semiconductor Failure Analysis (46 papers), Industrial Vision Systems and Defect Detection (45 papers), Low-power high-performance VLSI design (41 papers), 3D IC and TSV technologies (34 papers) and Advanced Neural Network Applications (27 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Industrial and Manufacturing Engineering (953 citations), Electrical and Electronic Engineering (3.7k citations), Computer Vision and Pattern Recognition (1.0k citations) and Computer Graphics and Computer-Aided Design (169 citations). Bei Yu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include David Z. Pan, Yuzhe Ma, Haoyu Yang, Evangeline F. Y. Young, Jhih-Rong Gao, Tinghuan Chen, Yibo Lin, Xiaoqing Xu, Qi Sun and Tetsuaki Matsunawa. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Design Automation of Electronic Systems, Journal of Micro/Nanolithography MEMS and MOEMS, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

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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