Ge Li

11.0k citations

257 papers · 5.1k indexed · 3 hit papers · h-index 31

Impact in

Computer Vision and Pattern Recognition top 0.2%
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
Computer Graphics and Computer-Aided Design top 1%

Papers in

Computer Graphics and Computer-Aided Design 30
- Computer Graphics and Visualization Techniques 29
Computer Vision and Pattern Recognition 143
- Advanced Vision and Imaging 47
- Advanced Image and Video Retrieval Techniques 25
- Human Pose and Action Recognition 22
- Visual Attention and Saliency Detection 21

Co-authors: Shan Liu Zhi Jin Thomas H. Li Lili Mou Yurui Ren Wei Gao Zhenqiang YingYan Xu
Journals: IEEE Transactions on Circuits and Systems for Video Technology (14 papers)IEEE Transactions on Multimedia (8 papers)IEEE Transactions on Image Processing (7 papers)IEEE Signal Processing Letters (4 papers)Neurocomputing (4 papers)
Partner nations: China United States Hong Kong

In The Last Decade

Ge Li

233 papers receiving 4.9k citations

Hit Papers

align trajectories log scale

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection 2019 · 376 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection
2016 Proceedings of the AAAI Conference on Artificial Intelligence
2015 Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths

Peers

Countries citing papers authored by Ge Li

Since Specialization

Citations

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

Fields of papers citing papers by Ge Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	The Voice Experience Inventory (VOXI): Validating a consensus-driven instrument for measuring user impressions of computer voice International Journal of Human-Computer Studies ·Katie Seaborn, Maximilian Altmeyer, Ge Li, Charlotte Pekel, A. Liu, Jacqueline Urakami	2025	1
2	Point Cloud Compression Ge Li, Wei Gao, Wen Gao	2024	2
3	Prediction and prevention of non-Markovian epidemic spreading in coupled system Chaos Solitons & Fractals ·Ge Li, Барт Т.В., Ying Liu, Ming Tang, Shuguang Guan	2024	1
4	Ripple Transformer: A Human-Object Interaction Backbone and a New Prediction Strategy for Smart Surveillance Devices IEEE Transactions on Consumer Electronics ·朋之林, Ying Wei, И И Лиханов, Fred. Hildyard, Ge Li	2024	1
5	Zoom to Perceive Better: No-Reference Point Cloud Quality Assessment via Exploring Effective Multiscale Feature IEEE Transactions on Circuits and Systems for Video Technology ·Jilong Wang, Wei Gao, Ge Li	2024	14
6	Hierarchical Prior-Based Super Resolution for Point Cloud Geometry Compression IEEE Transactions on Image Processing ·Dingquan Li, Kede Ma, Jing Wang, Ge Li	2024	3
7	Unboxing Manipulation Checks for Voice UX Interacting with Computers ·Katie Seaborn, Katja Rogers, Maximilian Altmeyer, О С Кашапов, Huijun Li, فرید دهقانی, Corey N. Allen, Ge Li	2024	3
8	Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions IEEE Transactions on Multimedia ·胡加佳, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu	2023	12
9	Low Complexity Coding Unit Decision for Video-Based Point Cloud Compression IEEE Transactions on Image Processing ·Wei Gao, Hang Yuan, Ge Li, Zhu Li, Hui Yuan	2023	13
10	Accelerating Transform Algorithm Implementation for Efficient Intra Coding of 8K UHD Videos ACM Transactions on Multimedia Computing Communications and Applications ·Yang Guo, Wei Gao, Siwei Ma, Ge Li	2022	6
11	Learning Human-Object Interaction via Interactive Semantic Reasoning IEEE Transactions on Image Processing ·А Ш Комили, Yuexian Zou, Zhu Li, Ge Li	2021	6
12	Integrating Tree Path in Transformer for Code Representation Neural Information Processing Systems ·R. A. Bailey, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin	2021	16
13	Base-detail image inpainting. British Machine Vision Conference ·Ruonan Zhang, Yurui Ren, Robert William Hale, Ge Li	2019	3
14	Efficient Prediction Methods With Enhanced Spatial-Temporal Correlation for HEVC IEEE Transactions on Circuits and Systems for Video Technology ·Kui Fan, Ronggang Wang, Ge Li, Wen Gao	2018	10
15	Discriminative Neural Sentence Modeling by Tree-Based Convolution Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin	2015	57
16	Tree-based Convolution: A New Neural Architecture for Sentence Modeling. arXiv (Cornell University) ·Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin	2015	5
17	Backbone Language Modeling for Constrained Natural Language Generation. arXiv (Cornell University) ·Lili Mou, Rui-Jun Yan, Ge Li, Lu Zhang, Zhi Jin	2015	2
18	Face occlusion recognition based on MEBML Journal of Jilin University ·Ge Li	2014	3
19	3D atmospheric modeling based on MODTRAN4 WSEAS Transactions on Systems and Control archive ·Ge Li, Hadjer Bouzebiba, Gang Guo, A.C. Nicol	2008	0
20	Seed metering device based on orienting ordered arrangement in embryo and parameter optimization Journal of Jiangsu University ·Ge Li	2008	1

About Ge Li

Ge Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Environmental Engineering, having authored 257 papers that have together received 5.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (50 papers), Advanced Vision and Imaging (47 papers), Computer Graphics and Visualization Techniques (29 papers), Remote Sensing and LiDAR Applications (28 papers), Advanced Image and Video Retrieval Techniques (25 papers), Human Pose and Action Recognition (22 papers), Visual Attention and Saliency Detection (21 papers) and Topic Modeling (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Computer Graphics and Computer-Aided Design (280 citations), Software (269 citations), Artificial Intelligence (1.7k citations) and Media Technology (412 citations). Ge Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shan Liu, Zhi Jin, Thomas H. Li, Lili Mou, Yurui Ren, Wei Gao, Zhenqiang Ying, Yan Xu, Jia-Xing Zhong and Lu Zhang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Signal Processing Letters and Neurocomputing.

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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