Liyu Gong

557 total citations
19 papers, 316 citations indexed

About

Liyu Gong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Liyu Gong has authored 19 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Liyu Gong's work include Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Liyu Gong is often cited by papers focused on Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Liyu Gong collaborates with scholars based in China, United States and Spain. Liyu Gong's co-authors include Qiang Cheng, Tianjiang Wang, Lisa Collier, Qiang Cheng, Arnold J. Stromberg, Stephen Grupke, Stephanie M. Davis, Keith R. Pennypacker, Chunlong Hu and Abdulnasser Alhajeri and has published in prestigious journals such as Frontiers in Neurology, Multimedia Tools and Applications and The R Journal.

In The Last Decade

Liyu Gong

19 papers receiving 307 citations

Peers

Countries citing papers authored by Liyu Gong

Since Specialization

Citations

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

Fields of papers citing papers by Liyu Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyu Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Liyu Gong. A scholar is included among the top collaborators of Liyu Gong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liyu Gong. Liyu Gong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning 2024 ·Xin Xing, (unknown), Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs	2
2	Expression of Cytokines and Chemokines as Predictors of Stroke Outcomes in Acute Ischemic Stroke 2020 ·Frontiers in Neurology ·(unknown), Qiang Cheng, Justin F. Fraser, Liyu Gong, Lisa Collier, Stephanie M. Davis, (unknown), Abdulnasser Alhajeri, Stephen Grupke, Keith R. Pennypacker	37
3	rFSA: An R Package for Finding Best Subsets and Interactions 2019 ·The R Journal ·Joshua Lambert, Liyu Gong, (unknown), Katherine Thompson, Arnold J. Stromberg	21
4	Exploiting Edge Features for Graph Neural Networks 2019 ·Liyu Gong, Qiang Cheng	164
5	Adaptive Edge Features Guided Graph Attention Networks 2018 ·arXiv (Cornell University) ·Liyu Gong, Qiang Cheng	7
6	Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition 2015 ·Multimedia Tools and Applications ·Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, (unknown)	1
7	Real-Time 3D Hand Gesture Recognition from Depth Image 2013 ·(unknown), Ruimin Hu, (unknown), Liyu Gong	2
8	An effective head pose estimation approach using Lie Algebrized Gaussians based face representation 2013 ·Multimedia Tools and Applications ·Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, (unknown)	10
9	Effective head pose estimation using Lie Algebrized Gaussians 2013 ·Chunlong Hu, Liyu Gong, Tianjiang Wang, (unknown)	2
10	Action recognition using lie algebrized gaussians over dense local spatio-temporal features 2013 ·Multimedia Tools and Applications ·Chen Meng, Liyu Gong, Tianjiang Wang, (unknown)	7
11	Real-Time 3D Hand Tracking from Depth Images 2013 ·(unknown), Ruimin Hu, (unknown), Liyu Gong	2
12	Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature 2013 ·Multimedia Tools and Applications ·Chunlong Hu, Liyu Gong, Tianjiang Wang, (unknown)	5
13	Real-Time 3D Hand Gesture Detection from Depth Images 2012 ·(unknown), Ruimin Hu, Hua Zhang, (unknown), Liyu Gong	2
14	Recognizing affect from non-stylized body motion using shape of Gaussian descriptors 2010 ·Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu	9
15	Shape of Gaussians as feature descriptors 2009 ·2009 IEEE Conference on Computer Vision and Pattern Recognition ·Liyu Gong, Tianjiang Wang, Fang Liu	1
16	Shape of Gaussians as feature descriptors 2009 ·2009 IEEE Conference on Computer Vision and Pattern Recognition ·Liyu Gong, Tianjiang Wang, (unknown)	29
17	A Lie group based Gaussian Mixture Model distance measure for multimedia comparison 2009 ·Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu	2
18	A Lie group based spatiogram similarity measure 2009 ·Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen	2
19	MULTI-CLASS SUPPORT VECTOR MACHINE ACTIVE LEARNING FOR MUSIC ANNOTATION 2008 ·RECERCAT (Consorci de Serveis Universitaris de Catalunya) ·Gang Chen, (unknown), Liyu Gong, Perfecto Herrera	11

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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