Xiaobo Shen

3.1k total citations · 1 hit paper
99 papers, 2.1k citations indexed

About

Xiaobo Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xiaobo Shen has authored 99 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 16 papers in Media Technology. Recurrent topics in Xiaobo Shen's work include Advanced Image and Video Retrieval Techniques (40 papers), Face and Expression Recognition (27 papers) and Video Surveillance and Tracking Methods (18 papers). Xiaobo Shen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (40 papers), Face and Expression Recognition (27 papers) and Video Surveillance and Tracking Methods (18 papers). Xiaobo Shen collaborates with scholars based in China, Australia and Singapore. Xiaobo Shen's co-authors include Quansen Sun, Yew-Soon Ong, Jianfei Cai, Haitao Liu, Boqiang Lin, Yunhao Yuan, Fumin Shen, Weiwei Liu, Ivor W. Tsang and Lingyun Xiang and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Xiaobo Shen

93 papers receiving 2.1k citations

Hit Papers

When Gaussian Process Meets Big Data: A Review of Scalabl... 2020 2026 2022 2024 2020 100 200 300 400
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.

  1. When Gaussian Process Meets Big Data: A Review of Scalable GPs
    2020 466 citations Haitao Liu, Yew-Soon Ong et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Shen China 23 983 676 222 201 118 99 2.1k
Xiaohui Cui China 27 556 0.6× 1.1k 1.7× 41 0.2× 291 1.4× 131 1.1× 198 3.0k
Francisco de A.T. de Carvalho Brazil 24 344 0.3× 1.3k 1.9× 206 0.9× 93 0.5× 175 1.5× 100 2.2k
Jian Yu China 28 917 0.9× 761 1.1× 395 1.8× 285 1.4× 256 2.2× 181 3.4k
Xiao‐Zhu Xie China 8 794 0.8× 1.4k 2.1× 68 0.3× 270 1.3× 186 1.6× 21 2.6k
Francesco Camastra Italy 19 779 0.8× 900 1.3× 70 0.3× 234 1.2× 105 0.9× 39 1.8k
Ari Visa Finland 22 614 0.6× 579 0.9× 64 0.3× 139 0.7× 204 1.7× 129 2.1k
Hujun Yin United Kingdom 27 1.0k 1.1× 948 1.4× 59 0.3× 246 1.2× 233 2.0× 164 2.5k
Patrick P. K. Chan China 21 522 0.5× 634 0.9× 224 1.0× 105 0.5× 64 0.5× 118 1.7k
Pritpal Singh India 24 198 0.2× 458 0.7× 181 0.8× 86 0.4× 108 0.9× 68 1.5k
Carlos J. Alonso Spain 12 369 0.4× 911 1.3× 56 0.3× 139 0.7× 234 2.0× 47 1.9k

Countries citing papers authored by Xiaobo Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Shen

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

All Works

20 of 20 papers shown
1.
Xiang, Lingyun, et al.. (2024). Linguistic steganalysis via multi-task with crossing generative-natural domain. Neurocomputing. 603. 128260–128260. 1 indexed citations
2.
Shen, Xiaobo, et al.. (2024). Can digital industrialization promote energy conservation development in China? Empirical evidence based on national big data comprehensive pilot zone policy. Journal of Environmental Management. 368. 122125–122125. 24 indexed citations
3.
Shen, Xiaobo, et al.. (2024). Multiple Riemannian Kernel Hashing for Large-Scale Image Set Classification and Retrieval. IEEE Transactions on Image Processing. 33. 4261–4273. 1 indexed citations
4.
Shen, Xiaobo, et al.. (2024). Graph Convolutional Multi-Label Hashing for Cross-Modal Retrieval. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 7997–8009. 3 indexed citations
5.
Shen, Xiaobo, Yue Zhou, Yunhao Yuan, et al.. (2023). Contrastive Transformer Hashing for Compact Video Representation. IEEE Transactions on Image Processing. 32. 5992–6003. 6 indexed citations
6.
Shen, Xiaobo, et al.. (2023). Graph Convolutional Incomplete Multi-modal Hashing. Griffith Research Online (Griffith University, Queensland, Australia). 7029–7037. 8 indexed citations
7.
Yuan, Yunhao, et al.. (2023). Two-step affinity matrix learning for multi-view subspace clustering. Expert Systems with Applications. 242. 122765–122765. 10 indexed citations
8.
Dong, Guohua, Xiang Zhang, Xiaobo Shen, et al.. (2022). Discriminative Geometric-Structure-Based Deep Hashing for Large-Scale Image Retrieval. IEEE Transactions on Cybernetics. 53(10). 6236–6247. 12 indexed citations
9.
Liu, Haitao, et al.. (2021). Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Transactions on Cybernetics. 52(7). 5842–5854. 9 indexed citations
10.
Shen, Xiaobo, Yu Chen, & Boqiang Lin. (2021). Impact of Technological Progress and Industrial Structure Distortion on Energy Intensity in China. 10(3). 25–46. 2 indexed citations
11.
Ji, Zexuan, et al.. (2020). Complex-Valued Spatial-Scattering Separated Attention Network for Polsar Image Classification. 1723–1726. 11 indexed citations
12.
Liu, Haitao, Yew-Soon Ong, Xiaobo Shen, & Jianfei Cai. (2020). When Gaussian Process Meets Big Data: A Review of Scalable GPs. IEEE Transactions on Neural Networks and Learning Systems. 31(11). 4405–4423. 466 indexed citations breakdown →
13.
Shen, Xiaobo, et al.. (2020). Semi-Paired Asymmetric Deep Cross-Modal Hashing Learning. IEEE Access. 8. 113814–113825.
14.
Yuan, Yunhao, Xiaobo Shen, Yun Li, et al.. (2019). Composite nonlinear multiset canonical correlation analysis for multiview feature learning and recognition. Concurrency and Computation Practice and Experience. 33(15). 3 indexed citations
15.
Xiang, Lingyun, et al.. (2018). A Word-Embedding-Based Steganalysis Method for Linguistic Steganography via Synonym Substitution. IEEE Access. 6. 64131–64141. 17 indexed citations
16.
Wang, Tao, et al.. (2018). Perceptual Gradient Similarity Deviation for Full Reference Image Quality Assessment. Cmc-computers Materials & Continua. 56(3). 501–515. 8 indexed citations
17.
Xiang, Lingyun, et al.. (2018). Reversible Natural Language Watermarking Using Synonym Substitution and Arithmetic Coding. DR-NTU (Nanyang Technological University). 55(3). 541–559. 88 indexed citations
18.
Shen, Xiaobo, Weiwei Liu, Ivor W. Tsang, Quansen Sun, & Yew-Soon Ong. (2017). Multilabel Prediction via Cross-View Search. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4324–4338. 64 indexed citations
19.
Liu, Weiwei, Xiaobo Shen, & Ivor W. Tsang. (2017). Sparse Embedded $k$-Means Clustering. UTS ePRESS (University of Technology Sydney). 30. 3319–3327. 21 indexed citations
20.
Shen, Xiaobo, Quansen Sun, & Yunhao Yuan. (2013). Orthogonal canonical correlation analysis and its application in feature fusion. International Conference on Information Fusion. 151–157. 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.

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