Yi‐Chen Lu

994 citations
49 papers · 713 · h-index 14

Impact in

Papers in

    • VLSI and FPGA Design Techniques 23
    • Advanced Memory and Neural Computing 9
    • 3D IC and TSV technologies 8
    • Low-power high-performance VLSI design 7
    • Advancements in Photolithography Techniques 7
    • Ferroelectric and Negative Capacitance Devices 7
    • VLSI and Analog Circuit Testing 8

Yi‐Chen Lu

46 papers receiving 694 citations

Peers

Yi‐Chen Lu
Comparison fields: 5 of 74
  • Hardware and Architecture 149
  • Human-Computer Interaction 73
  • Electrical and Electronic Engineering 348
  • Cognitive Neuroscience 97
  • Industrial and Manufacturing Engineering 43
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Bo-Kyeong Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Yi‐Chen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Chen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Chen Lu. 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 Yi‐Chen Lu. The network helps show where Yi‐Chen Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021115
2 201581
3 201959
4 201952
5 201546
6 202042
7 202142
8 202227
9 202124
10 202119
11 202116
12 202015
13 202114
14 202413
15 202211
16 20159
17 20238
18 20208
19 20218
20 20238

About Yi‐Chen Lu

Yi‐Chen Lu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Human-Computer Interaction, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 713 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (23 papers), Advanced Memory and Neural Computing (9 papers), 3D IC and TSV technologies (8 papers), VLSI and Analog Circuit Testing (8 papers), Low-power high-performance VLSI design (7 papers), Advancements in Photolithography Techniques (7 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Innovative Human-Technology Interaction (5 papers). The work is most often cited by research in Hardware and Architecture (149 citations), Human-Computer Interaction (73 citations), Electrical and Electronic Engineering (348 citations), Cognitive Neuroscience (97 citations) and Industrial and Manufacturing Engineering (43 citations). Yi‐Chen Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Sung Kyu Lim, Sai Pentapati, Kambiz Samadi, Siddhartha Nath, Iván K. Schuller, Pavel Salev, Yoav Kalcheim, Sangheon Oh, Yuhan Shi and Duygu Kuzum. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Autex Research Journal, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Computational Intelligence Magazine.

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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