Lin Wu

6.3k citations

144 papers · 3.8k · 1 hit paper · h-index 31

Impact in

Computer Vision and Pattern Recognition top 0.2%
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Human Pose and Action Recognition
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Computational Mathematics top 5%

Papers in

Computer Vision and Pattern Recognition 67
- Advanced Image and Video Retrieval Techniques 20
- Video Surveillance and Tracking Methods 20
- Human Pose and Action Recognition 15
- Face and Expression Recognition 13
- Multimodal Machine Learning Applications 10
- Advanced Neural Network Applications 9
Artificial Intelligence 28
- Domain Adaptation and Few-Shot Learning 9

Co-authors: Yang Wang (28 shared papers)Junbin Gao (6 shared papers)Xuemin Lin (10 shared papers)Xue Li (7 shared papers)Wenjie Zhang (8 shared papers)Ling Shao (3 shared papers)Meng Wang (6 shared papers)Chunhua Shen (3 shared papers)
Journals: IEEE Transactions on Neural Networks and Learning Systems (6 papers)IEEE Transactions on Image Processing (5 papers)Pattern Recognition (4 papers)Neurocomputing (3 papers)Computer Vision and Image Understanding (3 papers)
Partner nations: China Australia United Kingdom

In The Last Decade

Lin Wu

128 papers receiving 3.8k citations

Lin Wu's Hit Papers

align trajectories log scale

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization 2018 · 310 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.

2018 IEEE Transactions on Neural Networks and Learning Systems

Peers

Countries citing papers authored by Lin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization IEEE Transactions on Neural Networks and Learning Systems ·Yang Wang, Lin Wu, Xuemin Lin, Junbin Gao Hit paper breakdown →	2018	310
2	Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus IEEE Transactions on Image Processing ·Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang, Qing Zhang, Xiaodi Huang	2015	218
3	Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition IEEE Transactions on Cybernetics ·Lin Wu, Yang Wang, Xue Li, Junbin Gao	2018	183
4	Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification IEEE Transactions on Multimedia ·Lin Wu, Yang Wang, Junbin Gao, Xue Li	2018	173
5	Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification Pattern Recognition ·Lin Wu, Chunhua Shen, Anton van den Hengel	2016	151
6	Deep adaptive feature embedding with local sample distributions for person re-identification Pattern Recognition ·Lin Wu, Yang Wang, Junbin Gao, Xue Li	2017	122
7	Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval IEEE Transactions on Image Processing ·Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang	2017	114
8	Cycle-consistent deep generative hashing for cross-modal retrieval Queensland's institutional digital repository (The University of Queensland) ·Lin Wu, Yang Wang, Ling Shao	2019	109
9	Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer EBioMedicine ·Ke Zhao, Zhenhui Li, Su Yao, Yingyi Wang, Xiaomei Wu, Zeyan Xu, Lin Wu, Yanqi Huang, Changhong Liang, Zaiyi Liu	2020	109
10	Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion IEEE Transactions on Neural Networks and Learning Systems ·Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao	2015	102
11	What-and-where to match: Deep spatially multiplicative integration networks for person re-identification Pattern Recognition ·Lin Wu, Yang Wang, Xue Li, Junbin Gao	2017	95
12	Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clustering Neural Networks ·Yang Wang, Lin Wu	2018	92
13	3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification IEEE Transactions on Neural Networks and Learning Systems ·Lin Wu, Yang Wang, Ling Shao, Meng Wang	2019	88
14	Iterative views agreement: an iterative low-rank based structured optimization method to multi-view spectral clustering UTS ePRESS (University of Technology Sydney) ·Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan	2016	79
15	Few-Shot Deep Adversarial Learning for Video-Based Person Re-Identification IEEE Transactions on Image Processing ·Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao	2019	76
16	Serum Amyloid A Proteins Induce Pathogenic Th17 Cells and Promote Inflammatory Disease Cell ·June‐Yong Lee, Jason A. Hall, Lina Kroehling, Lin Wu, Tariq Ahmad Najar, Henry H. Nguyen, Woan-Yu Lin, Stephen T. Yeung, Hernandez Moura Silva, Dayi Li, Ashley M. Hine, P’ng Loke, David Hudesman, J.P. Martin, Ephraim Kenigsberg, Miriam Mérad, Kamal M. Khanna, Dan R. Littman	2020	73
17	Cross-Entropy Adversarial View Adaptation for Person Re-identification IEEE Transactions on Circuits and Systems for Video Technology ·Lin Wu, Richang Hong, Yang Wang, Meng Wang	2019	65
18	Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification IEEE Transactions on Neural Networks and Learning Systems ·Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao	2020	60
19	Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study Chinese Journal of Cancer Research ·Zhenhui Li, Dafu Zhang, Youguo Dai, Jian Dong, Lin Wu, Yajun Li, Zixuan Cheng, Yingying Ding, Zaiyi Liu	2018	57
20	Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study Annals of Surgical Oncology ·Lizhi Shao, Zhenyu Liu, Lili Feng, Xiaoying Lou, Zhenhui Li, Xiaoyan Zhang, Xiang‐Bo Wan, Xuezhi Zhou, Kai Sun, Da-Fu Zhang, Lin Wu, Guanyu Yang, Ying-Shi Sun, Rui‐Hua Xu, Xinjuan Fan, Jie Tian	2020	55

About Lin Wu

Lin Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Molecular Biology and Signal Processing, having authored 144 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Video Surveillance and Tracking Methods (20 papers), Human Pose and Action Recognition (15 papers), Face and Expression Recognition (13 papers), Remote-Sensing Image Classification (11 papers), Multimodal Machine Learning Applications (10 papers), Advanced Neural Network Applications (9 papers) and Domain Adaptation and Few-Shot Learning (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Computational Mathematics (28 citations), Media Technology (402 citations), Artificial Intelligence (967 citations) and Signal Processing (290 citations). Lin Wu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yang Wang, Junbin Gao, Xuemin Lin, Xue Li, Wenjie Zhang, Ling Shao, Meng Wang, Chunhua Shen, Anton van den Hengel and Xiaodi Huang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, Pattern Recognition, Neurocomputing and Computer Vision and Image Understanding.

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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