Li Yi

599 citations
11 papers · 479 · 1 hit paper · h-index 5

Impact in

Papers in

Li Yi

7 papers receiving 461 citations

Li Yi's Hit Papers

Large-Scale and Flexible Optical Synapses for Neuromorphic Computing and Integrated Visible Information Sensing Memory Processing 2020 · 345 citations
3450+2+4Years since publication100200300

Peers

Li Yi
Comparison fields: 5 of 36
  • Cellular and Molecular Neuroscience 163
  • Electrical and Electronic Engineering 444
  • Polymers and Plastics 76
  • Artificial Intelligence 85
  • Bioengineering 11
Replace Shenming Huang with:
Shenming Huang China
Zhuorui Wang China
Chi Liu China
Hangyu Xu China
Mark Buckwell United Kingdom
Sohail Abbas South Korea
Xichen Chuai China
Zheng Chai United Kingdom
Meiyu He China
Sebastián Pazos Argentina
Li Yi relative to Shenming Huang China Shenming Huang's profile →
Citations per field
00.5×1.5×2.0×
Shenming Huang · 1×
Citations per year

Countries citing papers authored by Li Yi

Since Specialization
Citations

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

Fields of papers citing papers by Li Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Large-Scale and Flexible Optical Synapses for Neuromorphic Computing and Integrated Visible Information Sensing Memory Processing
Hit paper breakdown →
2020345
2 201462
3 201258
4 20157
5 20214
6
Synthesizing Motion with Relative Emotion Strength
20172
7 20241
8
Design of 3D reconstruction system based on multi-view stereo vision
20130
9 20250
10 20230
11 20120

About Li Yi

Li Yi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (2 papers), Human Pose and Action Recognition (2 papers), Simulation and Modeling Applications (2 papers), Metal Forming Simulation Techniques (1 paper), Electric Vehicles and Infrastructure (1 paper), Advanced Computational Techniques and Applications (1 paper), Multimodal Machine Learning Applications (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (163 citations), Electrical and Electronic Engineering (444 citations), Polymers and Plastics (76 citations), Artificial Intelligence (85 citations) and Bioengineering (11 citations). Li Yi has collaborated with scholars based in China, Canada and Chile. Frequent co-authors include Jingjing Wang, Xu‐Dong Chen, Jiaqiang Li, Jin Zhang, Yaxin Hou, Bin‐Wei Yao, Tong‐Bu Lu, Zhicheng Zhang, Shangzhong Jin and Huaping Gong. Their work appears in journals such as Chinese Journal of Mechanical Engineering, ACS Nano, Metals, Optics Communications and Optics Letters.

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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