Yingyan Lin

2.5k citations
81 papers · 1.1k indexed · h-index 19

Yingyan Lin

74 papers receiving 1.1k citations

Peers

Yingyan Lin
Comparison fields: 5 of 71
  • Computer Vision and Pattern Recognition 522
  • Hardware and Architecture 141
  • Computer Graphics and Computer-Aided Design 70
  • Artificial Intelligence 472
  • Computer Networks and Communications 187
Replace Yuzhe Ma with:
Yuzhe Ma Hong Kong
Xingyu Liu China
Li Jiang China
Yuandong Tian United States
Jaewoong Sim United States
Eunhyeok Park South Korea
Paul N. Whatmough United States
Cihang Xie United States
Bhargab B. Bhattacharya India
Susmita Sur‐Kolay India
Yingyan Lin relative to Yuzhe Ma Hong Kong Yuzhe Ma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yingyan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yingyan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20240
4 20243
5 202421
6 20247
7 20230
8 20232
9 202340
10 202321
11 20231
12 20234
13 202033
14 202024
15
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
202027
16
E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
20190
17 20180
18 201611
19
High-speed, low switching noise and load adaptive output buffer
20095
20
A lightweight memory encryption cache design and implementation for embedded processor
20093

About Yingyan Lin

Yingyan Lin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (28 papers), Advanced Memory and Neural Computing (16 papers), Adversarial Robustness in Machine Learning (14 papers), Domain Adaptation and Few-Shot Learning (11 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Computer Graphics and Visualization Techniques (8 papers), Parallel Computing and Optimization Techniques (8 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Hardware and Architecture (141 citations), Computer Graphics and Computer-Aided Design (70 citations), Artificial Intelligence (472 citations) and Computer Networks and Communications (187 citations). Yingyan Lin has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Haoran You, Chaojian Li, Yongan Zhang, Yang Zhao, Yonggan Fu, Hui Liu, Junzhao Du, Sicong Liu, Zimu Zhou and Yue Wang. Their work appears in journals such as IEEE Micro, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Energies and IEEE Transactions on Mobile Computing.

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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