Junbin Gao

11.3k total citations · 5 hit papers
384 papers, 7.5k citations indexed

About

Junbin Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Junbin Gao has authored 384 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Computer Vision and Pattern Recognition, 156 papers in Artificial Intelligence and 65 papers in Computational Mechanics. Recurrent topics in Junbin Gao's work include Face and Expression Recognition (96 papers), Sparse and Compressive Sensing Techniques (59 papers) and Remote-Sensing Image Classification (42 papers). Junbin Gao is often cited by papers focused on Face and Expression Recognition (96 papers), Sparse and Compressive Sensing Techniques (59 papers) and Remote-Sensing Image Classification (42 papers). Junbin Gao collaborates with scholars based in Australia, China and United Kingdom. Junbin Gao's co-authors include Baocai Yin, Ming Yin, Yongli Hu, Lin Wu, Yang Wang, Yanfeng Sun, Zhouchen Lin, Xue Li, C.J. Harris and Foo‐Tim Chau and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Junbin Gao

357 papers receiving 7.3k 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.

Laplacian Regularized Low-Rank Representation and Its Applications

2015 349 citations Junbin Gao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

2018 307 citations Yang Wang, Lin Wu et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

2020 268 citations Kan Guo, Yongli Hu et al. IEEE Transactions on Intelligent Transportation Systems profile →
Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review

2022 182 citations Junbin Gao et al. profile →
Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting

2023 87 citations Boyue Wang, Junbin Gao et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junbin Gao Australia	44	3.8k	2.1k	967	887	817	384	7.5k
Rui Zhang Singapore	123	3.7k 1.0×	1.7k 0.8×	783 0.8×	770 0.9×	240 0.3×	803	73.5k
Sherjil Ozair United States	6	3.5k 0.9×	2.7k 1.3×	704 0.7×	309 0.3×	699 0.9×	7	8.5k
Jean Pouget-Abadie United States	6	3.3k 0.9×	2.5k 1.2×	698 0.7×	299 0.3×	681 0.8×	11	8.2k
Heng Huang United States	60	8.7k 2.3×	7.6k 3.6×	1.9k 2.0×	1.6k 1.9×	1.2k 1.5×	530	16.7k
Yong Liu China	45	4.0k 1.0×	4.6k 2.1×	634 0.7×	425 0.5×	384 0.5×	568	11.6k
Yee‐Whye Teh Singapore	7	4.0k 1.1×	4.7k 2.2×	762 0.8×	312 0.4×	492 0.6×	7	11.5k
Jian Zhang China	53	6.4k 1.7×	6.4k 3.0×	656 0.7×	766 0.9×	419 0.5×	535	13.5k
Shengyong Chen China	49	4.3k 1.1×	1.8k 0.8×	747 0.8×	377 0.4×	284 0.3×	469	9.5k
David M. Mount United States	29	3.7k 1.0×	2.3k 1.1×	499 0.5×	848 1.0×	236 0.3×	123	9.1k
Yiu‐ming Cheung Hong Kong	43	3.5k 0.9×	2.7k 1.3×	704 0.7×	300 0.3×	405 0.5×	362	6.8k

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-authorship network of co-authors of Junbin Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Junbin Gao. A scholar is included among the top collaborators of Junbin Gao 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 Junbin Gao. Junbin Gao 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

Wang, Boyue, et al.. (2025). Multi-Modal Entity in One Word: Aligning Multi-Level Semantics for Multi-Modal Knowledge Graph Completion. IEEE Transactions on Big Data. 11(6). 3539–3552.

Dai, Shi, et al.. (2025). SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. 1–10. 1 indexed citations

Wang, Ze, et al.. (2024). ST-MambaSync: Complement the power of Mamba and Transformer fusion for less computational cost in spatial–temporal traffic forecasting. Information Fusion. 117. 102872–102872. 11 indexed citations

Wang, Jinlu, et al.. (2024). DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. IEEE Transactions on Big Data. 11(4). 1813–1827. 2 indexed citations

Zhang, Junping, Cong Jin, Junbin Gao, et al.. (2024). Recent advances in artificial intelligence generated content. Frontiers of Information Technology & Electronic Engineering. 25(1). 1–5. 5 indexed citations

Wang, Boyue, et al.. (2024). Bridging the Cross-Modality Semantic Gap in Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4519–4531. 5 indexed citations

Li, Ming, et al.. (2023). MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowledge-Based Systems. 273. 110609–110609. 9 indexed citations

Liu, Tengfei, Yongli Hu, Junbin Gao, Yanfeng Sun, & Baocai Yin. (2023). Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. ACM Transactions on Knowledge Discovery from Data. 18(4). 1–24.

Li, Jinghua, et al.. (2023). Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. Neural Networks. 169. 1–10. 12 indexed citations

10.

Gao, Junbin, et al.. (2022). A survey of the application of graph-based approaches in stock market analysis and prediction. International Journal of Data Science and Analytics. 14(1). 1–15. 30 indexed citations

11.

Wang, Yu Guang, et al.. (2021). Grassmann Graph Embedding. International Conference on Learning Representations. 1 indexed citations

12.

Wu, Lin, Yang Wang, Junbin Gao, et al.. (2020). Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification. IEEE Transactions on Neural Networks and Learning Systems. 32(2). 722–735. 59 indexed citations

13.

Guo, Kan, Yongli Hu, Sean Qian, et al.. (2020). Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. IEEE Transactions on Intelligent Transportation Systems. 23(2). 1009–1018. 131 indexed citations

14.

Hong, Xia, Junbin Gao, & Sheng Chen. (2020). Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. Journal of the Franklin Institute. 357(9). 5680–5697. 4 indexed citations

15.

Wang, Zhiyong, et al.. (2019). Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Transactions on Affective Computing. 13(1). 238–249. 2 indexed citations

16.

Wu, Lin, Yang Wang, Xue Li, & Junbin Gao. (2018). Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition. IEEE Transactions on Cybernetics. 49(5). 1791–1802. 182 indexed citations

17.

Wu, Lin, Yang Wang, Junbin Gao, & Xue Li. (2018). Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification. IEEE Transactions on Multimedia. 21(6). 1412–1424. 172 indexed citations

18.

Hu, Yongli, et al.. (2014). Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. Sensors. 14(12). 23137–23158. 37 indexed citations

19.

Guo, Yi, Junbin Gao, & Feng Li. (2013). SPATIAL SUBSPACE CLUSTERING FOR HYPERSPECTRAL DATA SEGMENTATION. 1(1). 180–190. 11 indexed citations

20.

Guo, Yuanhao, Junbin Gao, & Paul Kwan. (2008). Twin Kernel Embedding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(8). 1490–1495. 14 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.

Explore authors with similar magnitude of impact