Jingen Liu

5.3k total citations · 3 hit papers
62 papers, 3.3k citations indexed

About

Jingen Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jingen Liu has authored 62 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 4 papers in Aerospace Engineering. Recurrent topics in Jingen Liu's work include Human Pose and Action Recognition (23 papers), Video Analysis and Summarization (20 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Jingen Liu is often cited by papers focused on Human Pose and Action Recognition (23 papers), Video Analysis and Summarization (20 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Jingen Liu collaborates with scholars based in United States, China and Hong Kong. Jingen Liu's co-authors include Mubarak Shah, Jiebo Luo, Benjamin Kuipers, Silvio Savarese, Saad Ali, Yang Yang, Tao Mei, Bo Li, Shuai Di and Peng Qi and has published in prestigious journals such as IEEE Transactions on Medical Imaging, ACM Computing Surveys and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jingen Liu

58 papers receiving 3.2k citations

Hit Papers

Recognizing realistic actions from videos “in the wild” 2009 2026 2014 2020 2009 2011 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jingen Liu United States 23 2.8k 1.6k 607 296 129 62 3.3k
Tao Mei China 27 2.2k 0.8× 846 0.5× 177 0.3× 94 0.3× 162 1.3× 102 2.9k
Xinmei Tian China 26 2.1k 0.8× 1.3k 0.8× 350 0.6× 119 0.4× 127 1.0× 116 2.8k
Hanqing Lu China 21 2.2k 0.8× 586 0.4× 219 0.4× 165 0.6× 411 3.2× 132 2.6k
Angela Yao Singapore 23 1.6k 0.6× 646 0.4× 230 0.4× 322 1.1× 61 0.5× 65 1.9k
Qianru Sun Singapore 22 1.7k 0.6× 1.6k 1.0× 205 0.3× 50 0.2× 127 1.0× 60 2.6k
Marco La Cascia Italy 20 1.7k 0.6× 305 0.2× 166 0.3× 214 0.7× 201 1.6× 76 2.0k
Qing Guo China 23 1.7k 0.6× 580 0.4× 123 0.2× 54 0.2× 147 1.1× 119 2.3k
Felix Juefei-Xu United States 26 1.6k 0.6× 1.0k 0.7× 107 0.2× 58 0.2× 587 4.6× 85 2.6k
Vineeth N Balasubramanian India 23 870 0.3× 818 0.5× 60 0.1× 134 0.5× 115 0.9× 103 1.7k
Changxing Ding China 24 2.3k 0.8× 514 0.3× 166 0.3× 55 0.2× 529 4.1× 52 2.6k

Countries citing papers authored by Jingen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jingen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingen Liu. A scholar is included among the top collaborators of Jingen Liu 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 Jingen Liu. Jingen Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bai, Yalong, Ting Yao, Jingen Liu, et al.. (2024). Teaching Masked Autoencoder With Strong Augmentations. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9550–9564.
2.
Xue, Wanli, et al.. (2023). Learning Self-Corrective Network via Adaptive Self-Labeling and Dynamic NMS for High-Performance Long-Term Tracking. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 653–664. 2 indexed citations
3.
Liu, Jingen, et al.. (2022). Memory-Augmented Non-Local Attention for Video Super-Resolution. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17813–17822. 36 indexed citations
4.
Yang, Zhengyuan, Jingen Liu, Jing Huang, et al.. (2022). Cross-modal Contrastive Distillation for Instructional Activity Anticipation. 2022 26th International Conference on Pattern Recognition (ICPR). 5002–5009. 3 indexed citations
5.
Zhu, Rui, et al.. (2021). Improving Contrastive Learning by Visualizing Feature Transformation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10286–10295. 52 indexed citations
6.
Pan, Yingwei, Yue Chen, Qian Bao, et al.. (2021). Smart Director: An Event-Driven Directing System for Live Broadcasting. ACM Transactions on Multimedia Computing Communications and Applications. 17(4). 1–18. 12 indexed citations
7.
Cai, Qi, Yingwei Pan, Yu Wang, et al.. (2020). Learning a Unified Sample Weighting Network for Object Detection. 14161–14170. 30 indexed citations
8.
Dehghan, Afshin, et al.. (2013). UCF-CRCV at TRECVID 2013: Semantic Indexing.. Journal of International Crisis and Risk Communication Research.
9.
Liu, Jingen, Hui Cheng, Omar Javed, et al.. (2013). SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting.. TRECVID. 5 indexed citations
10.
Liu, Jingen, et al.. (2013). Multimedia Event Detection And Recounting. Journal of International Crisis and Risk Communication Research.
11.
Cheng, Hui, Jingen Liu, Saad Ali, et al.. (2012). SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.. Journal of International Crisis and Risk Communication Research. 14 indexed citations
12.
Yu, Qian, Jingen Liu, Hui Cheng, Ajay Divakaran, & Harpreet Sawhney. (2012). Multimedia event recounting with concept based representation. 1073–1076. 22 indexed citations
13.
Liu, Jingen, Benjamin Kuipers, & Silvio Savarese. (2011). Recognizing human actions by attributes. 3337–3344. 362 indexed citations breakdown →
14.
Liu, Jingen, Jiebo Luo, & Mubarak Shah. (2009). Recognizing realistic actions from videos “in the wild”. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1996–2003. 746 indexed citations breakdown →
15.
Liu, Jingen, Jiebo Luo, & Mubarak Shah. (2009). Action recognition in unconstrained amateur videos. Journal of International Crisis and Risk Communication Research. 3549–3552. 8 indexed citations
16.
Liu, Jingen, Yang Yang, & Mubarak Shah. (2009). Learning semantic visual vocabularies using diffusion distance. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 121 indexed citations
17.
Liu, Jingen, Saad Ali, & Mubarak Shah. (2008). Recognizing human actions using multiple features. Journal of International Crisis and Risk Communication Research. 1–8. 194 indexed citations
18.
Miller, Andrew, Arslan Basharat, Brandyn White, Jingen Liu, & Mubarak Shah. (2007). Person and Vehicle Tracking in Surveillance Video.. Journal of International Crisis and Risk Communication Research. 174–178. 1 indexed citations
19.
Liu, Jingen, et al.. (2007). University of Central Florida at TRECVID 2007 Semantic Video Classification and Automatic Search.. Journal of International Crisis and Risk Communication Research. 1 indexed citations
20.
Liu, Jingen, et al.. (2006). University of Central Florida at TRECVID 2006 High-Level Feature Extraction and Video Search. Journal of International Crisis and Risk Communication Research. 4 indexed citations

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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