Junbin Gao

11.7k citations

445 papers · 8.9k · 4 hit papers · h-index 46

Impact in

Computational Mathematics top 0.5%
Computer Vision and Pattern Recognition top 0.2%
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications

Papers in

Computer Vision and Pattern Recognition 164
- Face and Expression Recognition 77
- Multimodal Machine Learning Applications 16
Artificial Intelligence 182
- Advanced Clustering Algorithms Research 50
- Advanced Graph Neural Networks 47
- Gaussian Processes and Bayesian Inference 19
- Neural Networks and Applications 19

Co-authors: Baocai Yin (99 shared papers)Yongli Hu (83 shared papers)Yanfeng Sun (83 shared papers)Lin Yuanbo Wu (6 shared papers)Yang Wang (6 shared papers)Zhouchen Lin (7 shared papers)Toufique Ahmed Soomro (19 shared papers)Xue Li (4 shared papers)
Journals: IEEE Transactions on Neural Networks and Learning Systems (28 papers)Neurocomputing (19 papers)Neural Networks (13 papers)IEEE Transactions on Circuits and Systems for Video Technology (10 papers)IEEE Transactions on Image Processing (8 papers)
Partner nations: Australia China United Kingdom

In The Last Decade

Junbin Gao

413 papers receiving 8.7k citations

Junbin Gao's Hit Papers

align trajectories log scale

Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting 2023 · 117 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2023 IEEE Transactions on Intelligent Transportation Systems
2022 IEEE Reviews in Biomedical Engineering
2020 IEEE Transactions on Intelligent Transportation Systems
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Junbin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Junbin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junbin Gao, 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 Junbin Gao Line = papers co-authored together Junbin Gao 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 445 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Laplacian Regularized Low-Rank Representation and Its Applications IEEE Transactions on Pattern Analysis and Machine Intelligence ·Junbin Gao, Zhouchen Lin +1 other Hit paper breakdown →	2015	374
2	Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization IEEE Transactions on Neural Networks and Learning Systems ·Yang Wang, Lin Yuanbo Wu, Xuemin Lin, Junbin Gao	2018	328
3	Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction IEEE Transactions on Intelligent Transportation Systems ·Kan Guo, Yongli Hu, Sean Si Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin Hit paper breakdown →	2020	296
4	Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review IEEE Reviews in Biomedical Engineering ·Toufique Ahmed Soomro, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Shafiullah Soomro, Junbin Gao +1 other Hit paper breakdown →	2022	237
5	Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification IEEE Transactions on Multimedia ·Lin Yuanbo Wu, Yang Wang, Junbin Gao, Xue Li	2018	195
6	Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition IEEE Transactions on Cybernetics ·Lin Yuanbo Wu, Yang Wang, Xue Li, Junbin Gao	2018	194
7	Multiview Subspace Clustering via Tensorial t-Product Representation IEEE Transactions on Neural Networks and Learning Systems ·Junbin Gao, Shengli Xie, Yi Guo +1 other	2018	170
8	Hierarchical Graph Convolution Network for Traffic Forecasting Proceedings of the AAAI Conference on Artificial Intelligence ·Kan Guo, Yongli Hu, Yanfeng Sun, Sean Si Qian, Junbin Gao, Baocai Yin	2021	165
9	Neighborhood linear discriminant analysis Pattern Recognition ·Fa Zhu, Junbin Gao, Jian Jun Yang, Ning Ye	2021	161
10	Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation IEEE Transactions on Intelligent Transportation Systems ·Kan Guo, Yongli Hu, Sean Si Qian, Yanfeng Sun, Junbin Gao, Baocai Yin	2020	157
11	A review on applications of wavelet transform techniques in chemical analysis: 1989–1997 Chemometrics and Intelligent Laboratory Systems ·Alexander Kai‐Man Leung, Foo‐Tim Chau, Junbin Gao	1998	143
12	Deep adaptive feature embedding with local sample distributions for person re-identification Pattern Recognition ·Lin Yuanbo Wu, Yang Wang, Junbin Gao, Xue Li	2017	139
13	Some remarks on Kalman filters for the multisensor fusion Information Fusion ·Junbin Gao, Chris J. Harris	2002	127
14	Deep Learning Models for Retinal Blood Vessels Segmentation: A Review IEEE Access ·Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro, Junbin Gao, Olaf Hellwich, Manoranjan Paul	2019	123
15	Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting IEEE Transactions on Intelligent Transportation Systems ·Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin Hit paper breakdown →	2023	117
16	Sparse kernel learning with LASSO and Bayesian inference algorithm Neural Networks ·Junbin Gao, Paul Kwan, Daming Shi	2009	116
17	Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering IEEE Transactions on Image Processing ·Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo +1 other	2015	113
18	A Probabilistic Framework for SVM Regression and Error Bar Estimation Machine Learning ·Junbin Gao, S.R. Gunn, Chris J. Harris, Martin Brown	2002	110
19	What-and-where to match: Deep spatially multiplicative integration networks for person re-identification Pattern Recognition ·Lin Yuanbo Wu, Yang Wang, Xue Li, Junbin Gao	2017	106
20	Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation IEEE Access ·Toufique Ahmed Soomro, Tariq Mahmood Khan, Mohammad A. U. Khan, Junbin Gao, Manoranjan Paul, Lihong Zheng	2018	100

About Junbin Gao

Junbin Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mathematics and Statistics and Probability, having authored 445 papers that have together received 8.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (77 papers), Advanced Clustering Algorithms Research (50 papers), Advanced Graph Neural Networks (47 papers), Gaussian Processes and Bayesian Inference (19 papers), Neural Networks and Applications (19 papers), Retinal Imaging and Analysis (16 papers), Multimodal Machine Learning Applications (16 papers) and Traffic Prediction and Management Techniques (16 papers). The work is most often cited by research in Computational Mathematics (224 citations), Computer Vision and Pattern Recognition (2.7k citations), Artificial Intelligence (2.6k citations), Building and Construction (705 citations) and Signal Processing (326 citations). Junbin Gao has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Baocai Yin, Yongli Hu, Yanfeng Sun, Lin Yuanbo Wu, Yang Wang, Zhouchen Lin, Toufique Ahmed Soomro, Xue Li, Lihong Zheng and Chris J. Harris. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Neural Networks, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Image Processing.

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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Junbin Gao

Junbin Gao's Hit Papers

Peers

Countries citing papers authored by Junbin Gao

Fields of papers citing papers by Junbin Gao

All Works

About Junbin Gao

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