Liu Yu

463 citations
17 papers · 266 · h-index 6

Impact in

    • Human Pose and Action Recognition
    • Multimodal Machine Learning Applications
    • Video Surveillance and Tracking Methods
    • Generative Adversarial Networks and Image Synthesis
    • Advanced Vision and Imaging
    • Anomaly Detection Techniques and Applications

Papers in

Liu Yu

15 papers receiving 258 citations

Peers

Liu Yu
Comparison fields: 5 of 40
  • Computer Vision and Pattern Recognition 173
  • Artificial Intelligence 122
  • Computer Graphics and Computer-Aided Design 13
  • Computational Theory and Mathematics 30
  • Human-Computer Interaction 10
Replace Daniel Průša with:
Daniel Průša Czechia
Jeff Pool United States
Keith Hanna United States
Hiroshi Hosobe Japan
I‐Chang Jou Taiwan
Lizhi Xiong China
Ruohan Meng China
Peijia Zheng China
Chi‐Fang Lin Taiwan
Liu Yu relative to Daniel Průša Czechia Daniel Průša's profile →
Citations per field
00.5×10×16×
Daniel Průša · 1×
Citations per year

Countries citing papers authored by Liu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Liu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202198
2 202456
3 202139
4 201439
5 20149
6 20215
7 20115
8 20235
9 20114
10 20251
11
Analysis on spatial spillover effect and influence factors of grain yield per hectare at county level in Huang-Huai-Hai region
20161
12 20151
13 20191
14
Research of bilingual teaching progress in China's universities
20071
15 20231
16 20180
17
Representation and Management of Type Information in Digital Gazetteers
20090

About Liu Yu

Liu Yu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Information Systems, having authored 17 papers that have together received 266 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (3 papers), Mobile Ad Hoc Networks (3 papers), Medical Image Segmentation Techniques (2 papers), Human Pose and Action Recognition (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Vision and Imaging (2 papers) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Artificial Intelligence (122 citations), Computer Graphics and Computer-Aided Design (13 citations), Computational Theory and Mathematics (30 citations) and Human-Computer Interaction (10 citations). Liu Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lianghua Huang, Siyu Chen, Hongsheng Li, Mike Zheng Shou, Jing Shao, Junting Pan, Wei Song, Jinhong Li, Hengshuang Zhao and Xi Chen. Their work appears in journals such as Frontiers of Computer Science, IEEE Transactions on Mobile Computing, IEEE Communications Magazine, International Journal of Data Warehousing and Mining and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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