Li Liu

21.5k total citations · 7 hit papers
402 papers, 13.1k citations indexed

About

Li Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Li Liu has authored 402 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 264 papers in Computer Vision and Pattern Recognition, 162 papers in Artificial Intelligence and 71 papers in Aerospace Engineering. Recurrent topics in Li Liu's work include Advanced Image and Video Retrieval Techniques (79 papers), Domain Adaptation and Few-Shot Learning (77 papers) and Multimodal Machine Learning Applications (64 papers). Li Liu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (79 papers), Domain Adaptation and Few-Shot Learning (77 papers) and Multimodal Machine Learning Applications (64 papers). Li Liu collaborates with scholars based in China, Finland and United Arab Emirates. Li Liu's co-authors include Paul Fieguth, Ling Shao, Yulan Guo, Xiaogang Wang, Xinwang Liu, Jie Chen, Matti Pietikäinen, Wanli Ouyang, Mohammed Bennamoun and Hanyun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Clinical Infectious Diseases.

In The Last Decade

Li Liu

371 papers receiving 12.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for Generic Object Detection: A Survey

2019 1.8k citations Li Liu, Paul Fieguth et al. profile →
A review of uncertainty quantification in deep learning: Techniques, applications and challenges

2021 1.5k citations Moloud Abdar, Farhad Pourpanah et al. Information Fusion profile →
Deep Learning for 3D Point Clouds: A Survey

2020 1.4k citations Li Liu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Median Robust Extended Local Binary Pattern for Texture Classification

2016 306 citations Li Liu, Songyang Lao et al. profile →
Efficient and Effective Regularized Incomplete Multi-view Clustering

2020 228 citations Xinwang Liu, Miaomiao Li et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Normalization Techniques in Training DNNs: Methodology, Analysis and Application

2023 224 citations Fan Zhu, Li Liu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
SARATR-X: Toward Building a Foundation Model for SAR Target Recognition

2025 22 citations Weijie Li, Li Liu et al. profile →

Peers

Countries citing papers authored by Li Liu

Since Specialization

Citations

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

Fields of papers citing papers by Li Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Liu

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

All Works

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

20 of 20 papers shown

#	Work	Indexed citations
1	TS-BiT: Two-Stage Binary Transformer for ORSI Salient Object Detection 2025 ·IEEE Geoscience and Remote Sensing Letters ·Jinfeng Zhang, Tianpeng Liu, Jiehua Zhang, Li Liu	0
2	SAR-GTR: Attributed Scattering Information Guided SAR Graph Transformer Recognition Algorithm for Consumer-Grade Low-Altitude Economy 2025 ·IEEE Transactions on Consumer Electronics ·(unknown), (unknown), Weidong Jiang, Li Liu, Yongxiang Liu, Tianpeng Liu	0
3	Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning 2024 ·Neural Networks ·(unknown), Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, (unknown), D. L. Feng, Huaimin Wang	3
4	Heterogeneous Binary Pixel Difference Networks for Remote Sensing Object Detection 2024 ·IEEE Transactions on Geoscience and Remote Sensing ·Jialei Zhan, (unknown), Jiehua Zhang, Tianpeng Liu, Fan Shi, Yongxiang Liu, Li Liu	1
5	An autonomous feature detection method for slow small targets on sea surface based on contextual bandit approach 2024 ·IET conference proceedings. ·(unknown), Tianpeng Liu, Yongxiang Liu, Li Liu, Jianfeng Xu, Jing Zhu	1
6	Deep Learning for Visual Speech Analysis: A Survey 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Gangyao Kuang, (unknown), Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu	21
7	An Autonomous Feature Detection Method for Slow-Moving Small Target on Sea Surface Based on Kernelized Contextual Bandit 2024 ·IEEE Sensors Journal ·(unknown), Tianpeng Liu, Yongxiang Liu, Li Liu	2
8	From Coarse to Fine: ISAR Object View Interpolation via Flow Estimation and GAN 2024 ·IEEE Transactions on Geoscience and Remote Sensing ·Jiawei Zhang, Zhen Liu, Weidong Jiang, Yongxiang Liu, (unknown), Li Liu	1
9	PMSA-DyTr: Prior-Modulated and Semantic-Aligned Dynamic Transformer for Strip Steel Defect Detection 2024 ·IEEE Transactions on Industrial Informatics ·(unknown), Qiwu Luo, Chunhua Yang, Weihua Gui, Olli Sílven, Li Liu	22
10	A Novel Category Discovery Method for SAR Images Based on an Improved UNO Framework 2024 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·(unknown), Tianpeng Liu, Li Liu	0
11	A method for predicting the breakup of gas column in a decaying swirling liquid field 2023 ·Annals of Nuclear Energy ·Jiarong Zhang, Li Liu, (unknown), Hanyang Gu	3
12	Multi-label adversarial fine-grained cross-modal retrieval 2023 ·Signal Processing Image Communication ·(unknown), Huaxiang Zhang, Li Liu, Dongmei Liu, Lin Wang	2
13	Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition 2023 ·IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Weijie Li, (unknown), Wenpeng Zhang, Tianpeng Liu, Yongxiang Liu, Li Liu	17
14	Progress in Radar Emitter Signal Deinterleaving 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Li Liu, Xiang Li	15
15	Importance-Aware Information Bottleneck Learning Paradigm for Lip Reading 2022 ·IEEE Transactions on Multimedia ·(unknown), Li Liu, (unknown), Liang Bai, Zhong Liu, Songyang Lao, Gangyao Kuang, Matti Pietikäinen	8
16	Improved Residual Networks for Image and Video Recognition 2021 ·Ionuţ Cosmin Duţă, Li Liu, Fan Zhu, Ling Shao	127
17	A review of uncertainty quantification in deep learning: Techniques, applications and challenges breakdown → 2021 ·Information Fusion ·Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi	1491
18	Texture classification in extreme scale variations using GANet 2019 ·University of Oulu Repository (University of Oulu) ·Li Liu, Jie Chen, Guoying Zhao, Paul Fieguth, Xilin Chen, Matti Pietikäinen	22
19	Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation 2019 ·IEEE Transactions on Neural Networks and Learning Systems ·Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin	106
20	Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation 2017 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yang Long, Li Liu, Fumin Shen, Ling Shao, Xuelong Li	76

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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