Liang Lin

34.7k citations

432 papers · 15.9k indexed · 8 hit papers · h-index 66

Impact in

Computer Vision and Pattern Recognition top 0.02%
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
Media Technology top 0.1%

Papers in

Computer Vision and Pattern Recognition 301
- Advanced Image and Video Retrieval Techniques 94
- Multimodal Machine Learning Applications 82
- Human Pose and Action Recognition 64
- Video Surveillance and Tracking Methods 59
- Advanced Neural Network Applications 48
- Advanced Vision and Imaging 38
Artificial Intelligence 153
- Domain Adaptation and Few-Shot Learning 72
- Topic Modeling 29

Co-authors: Guanbin Li Xiaodan Liang Wangmeng Zuo Tianshui Chen Keze Wang Guangrun Wang Lingbo Liu Xiaohui Shen
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (27 papers)IEEE Transactions on Multimedia (19 papers)IEEE Transactions on Neural Networks and Learning Systems (17 papers)IEEE Transactions on Image Processing (15 papers)IEEE Transactions on Circuits and Systems for Video Technology (12 papers)
Partner nations: China United States Hong Kong

In The Last Decade

Liang Lin

404 papers receiving 15.5k citations

Hit Papers

8 papers align trajectories log scale

Aligning Cyber Space With Physical World: A Comprehensive Survey on Embodied AI 2025 · 17 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.

2025 IEEE/ASME Transactions on Mechatronics
2019 Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
2019 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning
2018 Multi-level Wavelet-CNN for Image Restoration
2018 Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
2017 Joint Detection and Identification Feature Learning for Person Search
2016 IEEE Transactions on Circuits and Systems for Video Technology
2015 Pattern Recognition

Peers

Countries citing papers authored by Liang Lin

Since Specialization

Citations

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

Fields of papers citing papers by Liang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liang Lin, 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 Liang Lin Line = papers co-authored together Liang Lin 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	Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection Expert Systems with Applications ·O. Lhotský, Jucheng Yang, Yuan Wang, Liang Lin, Haibin Zhang	2025	1
2	HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System Susan E. Bevensee, Mingjie Qian, F. Pinho, Yang Liu, Ziliang Chen, Giovanna Araujo de Souza, Liang Lin, Kwok‐Yan Lam	2025	0
3	Can Cr(VI) and tetracycline be simultaneously removed by stabilized FeS nanoparticles via aeration at circumneutral conditions? Journal of Water Process Engineering ·Hong Xiao, Liang Lin, Hong Peng, Dexin Fang, Ganxue Wu, Yingjun Wang, Ying Zhu, Zhenxing Zeng	2024	4
4	Novel high-efficiency solid particle foam stabilizer: Effects of modified fly ash on foam properties and foam concrete Cement and Concrete Composites ·Qiang Song, G.T. Yevtushenko, Peng Zhang, Shipeng Xu, Awiddah Zuhroh Nabila, Jiuwen Bao, Shanbin Xue, Jie Liu, Shujun Gao, Liang Lin	2024	22
5	Innovative prevention and control of coccidiosis: targeting sporogony for new control agent development Poultry Science ·Dan Zhao, Jingxia Suo, Liang Lin, Ruiying Liang, Viet Nguyen Huu, J. A. Hashmall, Xianyong Liu, Xun Suo, Sixin Zhang, Xinming Tang	2024	7
6	A novel linear discriminant analysis based on alternate ratio sum minimization Information Sciences ·Xiaojun Yang, Ruitao Gao, Raymond Ryan, Siyuan Peng, Zheng Wang, Liang Lin, Feiping Nie	2024	2
7	HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation Susan E. Bevensee, E Barbagallo, Ziliang Chen, F. Pinho, Mingjie Qian, Jinghui Qin, Liang Lin	2024	1
8	VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models Qingxing Cao, Matteo Framba, Xiaodan Liang, Liang Lin	2024	1
9	Enhancing out-of-distribution detection via diversified multi-prototype contrastive learning Pattern Recognition ·Yanmin Jia, Jiaming Li, A. Aljameel, Thomas Low Nichols, B. Werthmann, Liang Lin, Guanbin Li	2024	2
10	Experimental study on the mechanical behavior of buried steel pipeline subjected to the local subsidence International Journal of Pressure Vessels and Piping ·Yu Zhang, Jhonatas Pereira do Nascimento, Liang Lin, P. Caballero, Y. Zhou	2023	4
11	Semantic representation and dependency learning for multi-label image recognition Neurocomputing ·G Pfau, H.B. Lee, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin	2023	10
12	LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning Lynn M. Thull, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang	2022	16
13	Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Qingxing Cao, 马勇霞, Keze Wang, Xiaodan Liang, Liang Lin	2021	10
14	Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark IEEE Transactions on Neural Networks and Learning Systems ·Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin	2020	29
15	LSTM Pose Machines Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin	2018	92
16	Multi-level Wavelet-CNN for Image Restoration Pengju Liu, Hongzhi Zhang, Kai Zhang, Liang Lin, Wangmeng Zuo Hit paper breakdown →	2018	531
17	Learning Support Correlation Filters for Visual Tracking IEEE Transactions on Pattern Analysis and Machine Intelligence ·Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming–Hsuan Yang	2018	88
18	Joint Detection and Identification Feature Learning for Person Search Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang Hit paper breakdown →	2017	582
19	Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin	2017	293
20	Machine Learning of Natural Language: Problems and Prospects Patrick Suppes, Jenny Elina, Liang Lin, 孙振邦	1995	1

About Liang Lin

Liang Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Graphics and Computer-Aided Design and Transportation, having authored 432 papers that have together received 15.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (94 papers), Multimodal Machine Learning Applications (82 papers), Domain Adaptation and Few-Shot Learning (72 papers), Human Pose and Action Recognition (64 papers), Video Surveillance and Tracking Methods (59 papers), Advanced Neural Network Applications (48 papers), Advanced Vision and Imaging (38 papers) and Topic Modeling (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (11.9k citations), Media Technology (1.5k citations), Computer Graphics and Computer-Aided Design (591 citations), Artificial Intelligence (4.8k citations) and Transportation (577 citations). Liang Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guanbin Li, Xiaodan Liang, Wangmeng Zuo, Tianshui Chen, Keze Wang, Guangrun Wang, Lingbo Liu, Xiaohui Shen, Lei Zhang and Dongyu Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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