Xianye Ben

1.3k total citations · 1 hit paper
52 papers, 926 citations indexed

About

Xianye Ben is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Xianye Ben has authored 52 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 18 papers in Biomedical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Xianye Ben's work include Human Pose and Action Recognition (18 papers), Gait Recognition and Analysis (18 papers) and Anomaly Detection Techniques and Applications (12 papers). Xianye Ben is often cited by papers focused on Human Pose and Action Recognition (18 papers), Gait Recognition and Analysis (18 papers) and Anomaly Detection Techniques and Applications (12 papers). Xianye Ben collaborates with scholars based in China, United States and Australia. Xianye Ben's co-authors include Weixiao Meng, Rui Yan, Qiang Wu, Kidiyo Kpalma, Peng Zhang, Chen Gong, Junping Zhang, Yi Ren, Yong‐Jin Liu and Sujing Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Xianye Ben

48 papers receiving 904 citations

Hit 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.

Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms

2021 181 citations Xianye Ben, Yi Ren et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Xianye Ben

CVPR

BE

ECP

AI

HI

Vincent Michalski Canada

Yanli Ji China

Jingang Shi China

Jang‐Hee Yoo South Korea

Rizwan Chaudhry United States

Shaohe Lv China

Hedi Tabia France

Xi Peng United States

Sumeet Saurav India

Vincent Michalski Canada

Xianye Ben

1.1k ×1.7

CVPR

148 ×0.6

BE

348 ×1.5

ECP

653 ×2.9

AI

95 ×0.8

HI

Citations per year, relative to Xianye Ben Xianye Ben (= 1×) peers Vincent Michalski

Countries citing papers authored by Xianye Ben

Since Specialization

Citations

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

Fields of papers citing papers by Xianye Ben

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianye Ben

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

1.

Li, Jingqi, Yuzhen Zhang, Yi Zeng, et al.. (2025). Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 9777–9797. 2 indexed citations

2.

Ben, Xianye, et al.. (2024). GaitDAN: Cross-View Gait Recognition via Adversarial Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8026–8040. 7 indexed citations

3.

Ben, Xianye, et al.. (2024). ALAD: A New Unsupervised Time Series Anomaly Detection Paradigm Based on Activation Learning. IEEE Transactions on Big Data. 11(3). 1285–1297. 2 indexed citations

4.

He, Yutong, et al.. (2024). Efficient abnormal behavior detection with adaptive weight distribution. Neurocomputing. 600. 128187–128187. 4 indexed citations

5.

Chen, Yang, et al.. (2023). A Comparative Analysis of a Radiation-Cooling-Plate-Coupled Adhesion-Jet Air Conditioning System in Different Positions. Buildings. 13(10). 2628–2628.

6.

Yang, Xuebin, et al.. (2023). The Mathematical Modeling and Performance of Sky Radiative Coolers. Buildings. 13(12). 2972–2972. 5 indexed citations

7.

Sun, Hao, et al.. (2023). MERCoL: video-based facial micro-expression recognition via bimodal contrastive learning. International Journal of Computer Applications in Technology. 71(4). 311–320.

8.

Sun, Guoquan, et al.. (2022). Decoupling facial motion features and identity features for micro-expression recognition. PeerJ Computer Science. 8. e1140–e1140. 5 indexed citations

9.

Ben, Xianye, Yi Ren, Junping Zhang, et al.. (2021). Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(9). 1–1. 181 indexed citations breakdown →

10.

Li, Guohao, Yifan Yuan, Xianye Ben, & Junping Zhang. (2020). Spatiotemporal attention network for microexpression recognition. Journal of Image and Graphics. 25(11). 2380–2390. 2 indexed citations

11.

Ben, Xianye, et al.. (2017). Coupled source domain targetized with updating tag vectors for micro-expression recognition. Multimedia Tools and Applications. 77(3). 3105–3124. 20 indexed citations

12.

Ben, Xianye, et al.. (2016). On the distance metric learning between cross-domain gaits. Neurocomputing. 208. 153–164. 19 indexed citations

13.

Liu, Shigang, et al.. (2015). A novel label learning algorithm for face recognition. Signal Processing. 124. 141–146. 23 indexed citations

14.

Ben, Xianye, et al.. (2015). Gait recognition and micro-expression recognition based on maximum margin projection with tensor representation. Neural Computing and Applications. 27(8). 2629–2646. 50 indexed citations

15.

Ben, Xianye, et al.. (2014). Multilinear mean component analysis for gait recognition. 19. 2632–2637. 1 indexed citations

16.

Sun, M., et al.. (2014). Improved AdaBoost algorithm and CamShift algorithm for face detection and tracking in color video. WIT transactions on information and communication technologies. 1. 239–246. 1 indexed citations

17.

Ben, Xianye, Mingyan Jiang, Rui Yan, Weixiao Meng, & Peng Zhang. (2014). Orthogonal multilinear discriminant analysis and its subblock tensor analysis version. Optik. 126(3). 361–367. 5 indexed citations

18.

Ben, Xianye, Weixiao Meng, Rui Yan, & Kejun Wang. (2013). Kernel coupled distance metric learning for gait recognition and face recognition. Neurocomputing. 120. 577–589. 30 indexed citations

19.

Wang, Kejun, Liu Lili, & Xianye Ben. (2009). Intelligent supervisory system based on gait recognition. Journal of Computer Applications. 29(2). 386–388. 1 indexed citations

20.

Wang, Kejun, et al.. (2009). Gait Period Detection Based on Regional Characteristics Analysis. 947 957. 1–6. 1 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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