Liangzhen Lai

4.0k citations
31 papers · 977 indexed · 2 hit papers · h-index 14

Liangzhen Lai

29 papers receiving 955 citations

Hit Papers

Multi-Scale High-Resolution Vision Transfor...1672018202620202023100200300

Peers

Liangzhen Lai
Comparison fields: 5 of 82
  • Hardware and Architecture 171
  • Computer Vision and Pattern Recognition 415
  • Computational Mathematics 10
  • Artificial Intelligence 316
  • Electrical and Electronic Engineering 530
Replace Donghyeon Han with:
Donghyeon Han South Korea
Sanghoon Kang South Korea
Juhyoung Lee South Korea
Jinmook Lee South Korea
Jungwook Choi South Korea
Fengbin Tu China
Liqiang He China
Eunhyeok Park South Korea
Tong Geng United States
Liangzhen Lai relative to Donghyeon Han South Korea Donghyeon Han's profile →
Citations per field
00.5×6.5×
Donghyeon Han · 1×
Citations per year

Countries citing papers authored by Liangzhen Lai

Since Specialization
Citations

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

Fields of papers citing papers by Liangzhen Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20244
3 20237
4 20231
5
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentationbreakdown →
2022167
6 202063
7 201936
8
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networkbreakdown →
2018344
9 201833
10
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control.
20179
11 20160
12
Cross-Layer Approaches for Monitoring, Margining and Mitigation of Circuit Variability
20151
13 20144
14 201422
15 20144
16 201320
17 201317
18 20111
19 20102
20 200616

About Liangzhen Lai

Liangzhen Lai is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 977 indexed citations. Recurring topics across this work include Semiconductor materials and devices (10 papers), Low-power high-performance VLSI design (8 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Memory and Neural Computing (5 papers), Radiation Effects in Electronics (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), VLSI and Analog Circuit Testing (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Hardware and Architecture (171 citations), Computer Vision and Pattern Recognition (415 citations) and Computational Mathematics (10 citations). Liangzhen Lai has collaborated with scholars based in United States, Belgium and South Korea. Frequent co-authors include Vikas Chandra, Naveen Suda, Puneet Gupta, Hardik Sharma, Joon Kyung Kim, Jongse Park, Hadi Esmaeilzadeh, Hyoukjun Kwon, David Z. Pan and Meng Li. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Solid-State Electronics.

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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