Yanshan Xiao

1.4k total citations
100 papers, 1.0k citations indexed

About

Yanshan Xiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yanshan Xiao has authored 100 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 55 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Yanshan Xiao's work include Text and Document Classification Technologies (32 papers), Face and Expression Recognition (29 papers) and Domain Adaptation and Few-Shot Learning (25 papers). Yanshan Xiao is often cited by papers focused on Text and Document Classification Technologies (32 papers), Face and Expression Recognition (29 papers) and Domain Adaptation and Few-Shot Learning (25 papers). Yanshan Xiao collaborates with scholars based in China, Australia and United States. Yanshan Xiao's co-authors include Bo Liu, Longbing Cao, Zhifeng Hao, Bo Liu, Yiping Cao, Bo Liu, Yingchun Wu, Zhifeng Hao, Philip S. Yu and Feiqi Deng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Yanshan Xiao

93 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanshan Xiao China 17 616 511 107 95 89 100 1.0k
Bin Gu China 8 414 0.7× 330 0.6× 115 1.1× 70 0.7× 117 1.3× 10 1000
Marc Masana Austria 10 1.3k 2.0× 720 1.4× 88 0.8× 59 0.6× 82 0.9× 15 1.7k
Xu Jia China 9 954 1.5× 593 1.2× 70 0.7× 58 0.6× 51 0.6× 17 1.3k
Musrrat Ali India 18 476 0.8× 691 1.4× 85 0.8× 147 1.5× 28 0.3× 60 1.3k
Yi-Ren Yeh Taiwan 15 642 1.0× 549 1.1× 57 0.5× 104 1.1× 118 1.3× 39 1.1k
Piyush Rai India 19 1.1k 1.8× 917 1.8× 74 0.7× 176 1.9× 69 0.8× 102 2.0k
Dit-Yan Yeung Hong Kong 10 648 1.1× 469 0.9× 125 1.2× 42 0.4× 125 1.4× 14 1.1k
Kaixiang Yang China 15 540 0.9× 211 0.4× 123 1.1× 42 0.4× 83 0.9× 85 901
Jorge Gálvez Mexico 17 474 0.8× 374 0.7× 101 0.9× 145 1.5× 67 0.8× 46 992
Zhongyi Pei China 5 481 0.8× 305 0.6× 185 1.7× 43 0.5× 73 0.8× 8 856

Countries citing papers authored by Yanshan Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Yanshan Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanshan Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yanshan Xiao. A scholar is included among the top collaborators of Yanshan Xiao 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 Yanshan Xiao. Yanshan Xiao 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.
Liu, Bo, et al.. (2025). Semi-supervised manifold regularized multi-task learning with privileged information. Information Sciences. 711. 122112–122112.
2.
Liu, Bo, et al.. (2025). A Multitask Causality-Inspired Feature Enhancement Method for Stance Detection. IEEE Transactions on Audio Speech and Language Processing. 33. 773–784. 1 indexed citations
3.
Liu, Bo, et al.. (2024). The multi-task transfer learning for multiple data streams with uncertain data. Information Sciences. 664. 120314–120314. 3 indexed citations
4.
Liu, Bo, et al.. (2024). A multitask tensor-based relation network for cloth-changing person re-identification. Image and Vision Computing. 147. 105090–105090. 1 indexed citations
5.
Xiao, Yanshan, Bo Liu, & Zhifeng Hao. (2024). Multi-Instance Nonparallel Tube Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2563–2577. 2 indexed citations
6.
Cao, Fan, et al.. (2024). Dictionary-based multi-instance learning method with universum information. Information Sciences. 682. 121264–121264.
7.
Liu, Bo, et al.. (2024). Few-Shot Object Counting With Dynamic Similarity-Aware in Latent Space. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 2 indexed citations
8.
Cao, Fan, et al.. (2024). Privacy preservation-based federated learning with uncertain data. Information Sciences. 678. 121024–121024. 1 indexed citations
9.
Xiao, Yanshan, et al.. (2023). Privileged multi-view one-class support vector machine. Neurocomputing. 572. 127186–127186. 5 indexed citations
10.
Liu, Bo, et al.. (2023). Self-paced multi-view positive and unlabeled graph learning with auxiliary information. Information Sciences. 642. 119146–119146. 4 indexed citations
11.
Liu, Bo, et al.. (2022). A Variational Inference Method for Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). 269–282. 10 indexed citations
12.
Liu, Bo, et al.. (2022). A Multitask Latent Feature Augmentation Method for Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6976–6990. 7 indexed citations
13.
Xiao, Yanshan, et al.. (2021). A Convex Model for Support Vector Distance Metric Learning. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3533–3546. 10 indexed citations
14.
Liu, Bo, et al.. (2020). Transfer learning-based one-class dictionary learning for recommendation data stream. Information Sciences. 547. 526–538. 10 indexed citations
15.
Cai, Hao, et al.. (2020). Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization. Information Sciences. 536. 171–184. 54 indexed citations
16.
Xiao, Yanshan, et al.. (2020). A new transfer learning-based method for label proportions problem. Information Sciences. 541. 391–408. 7 indexed citations
17.
Liu, Bo, et al.. (2020). An Efficient Image Categorization Method With Insufficient Training Samples. IEEE Transactions on Cybernetics. 52(5). 3244–3260. 7 indexed citations
18.
Xiao, Yanshan, Bo Liu, Jie Yin, & Zhifeng Hao. (2017). A multiple-instance stream learning framework for adaptive document categorization. Knowledge-Based Systems. 120. 198–210. 10 indexed citations
19.
Xiao, Yanshan, Bo Liu, & Zhifeng Hao. (2016). A Sphere-Description-Based Approach for Multiple-Instance Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(2). 242–257. 6 indexed citations
20.
Xiao, Yanshan, Bo Liu, Jie Yin, et al.. (2011). Similarity-based approach for positive and unlabelled learning. International Joint Conference on Artificial Intelligence. 1577–1582. 16 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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