Jane You

11.5k total citations · 2 hit papers
243 papers, 7.7k citations indexed

About

Jane You is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jane You has authored 243 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Computer Vision and Pattern Recognition, 71 papers in Artificial Intelligence and 37 papers in Signal Processing. Recurrent topics in Jane You's work include Face and Expression Recognition (67 papers), Image Retrieval and Classification Techniques (40 papers) and Advanced Image and Video Retrieval Techniques (39 papers). Jane You is often cited by papers focused on Face and Expression Recognition (67 papers), Image Retrieval and Classification Techniques (40 papers) and Advanced Image and Video Retrieval Techniques (39 papers). Jane You collaborates with scholars based in Hong Kong, China and United States. Jane You's co-authors include David Zhang, M. C. Wong, Zhiwen Yu, Hau−San Wong, Guoqiang Han, Xiaofeng Liu, Qin Li, Jun Zhang, Yong Xu and Lefei Zhang and has published in prestigious journals such as Science, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jane You

225 papers receiving 7.4k citations

Hit Papers

Online palmprint identification 2003 2026 2010 2018 2003 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane You Hong Kong 46 4.8k 2.6k 2.3k 944 730 243 7.7k
Bob Zhang Macao 44 4.3k 0.9× 1.6k 0.6× 1.6k 0.7× 345 0.4× 1.1k 1.6× 279 7.1k
Zhenan Sun China 53 7.7k 1.6× 4.0k 1.6× 1.7k 0.7× 1.2k 1.3× 894 1.2× 260 10.6k
Lin Zhang China 43 5.1k 1.1× 1.4k 0.5× 396 0.2× 384 0.4× 2.0k 2.7× 309 7.7k
Yiu‐ming Cheung Hong Kong 43 3.5k 0.7× 816 0.3× 2.7k 1.2× 361 0.4× 704 1.0× 362 6.8k
Andreas Uhl Austria 35 4.4k 0.9× 2.7k 1.1× 880 0.4× 1.2k 1.3× 424 0.6× 491 6.8k
De-Shuang Huang China 58 3.4k 0.7× 1.3k 0.5× 2.6k 1.1× 333 0.4× 547 0.7× 331 11.1k
Alex C. Kot Singapore 47 8.1k 1.7× 1.8k 0.7× 2.8k 1.2× 575 0.6× 1.1k 1.6× 348 10.5k
Junbin Gao Australia 44 3.8k 0.8× 652 0.3× 2.1k 0.9× 233 0.2× 967 1.3× 384 7.5k
Ahmed Bouridane United Kingdom 35 3.1k 0.7× 1.2k 0.5× 1.4k 0.6× 436 0.5× 538 0.7× 426 5.4k
Songcan Chen China 48 6.3k 1.3× 1.1k 0.4× 3.8k 1.6× 366 0.4× 1.6k 2.2× 271 9.5k

Countries citing papers authored by Jane You

Since Specialization
Citations

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

Fields of papers citing papers by Jane You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane You

This figure shows the co-authorship network connecting the top 25 collaborators of Jane You. A scholar is included among the top collaborators of Jane You 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 Jane You. Jane You 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.
Yu, Zhiwen, et al.. (2025). SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19669–19680.
3.
Li, Qin, et al.. (2023). Hypergraph Learning-Based Semi-Supervised Multi-View Spectral Clustering. Electronics. 12(19). 4083–4083. 1 indexed citations
4.
Fan, Dian, Yue Zhu, Jane You, Zhe Wang, & Nan Zhong. (2023). DOA and subarray-interval estimation for arbitrarily distributed UAV swarm system. China Communications. 20(4). 102–117.
5.
Liu, Xiaofeng, Zhenhua Guo, Site Li, et al.. (2021). Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10347–10356. 44 indexed citations
6.
Gong, Chen, Qizhou Wang, Tongliang Liu, et al.. (2021). Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 4163–4177. 23 indexed citations
7.
Gong, Chen, Jian Yang, Jane You, & Masashi Sugiyama. (2020). Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(6). 2841–2855. 28 indexed citations
8.
Li, Mu, Wangmeng Zuo, Shuhang Gu, Jane You, & David Zhang. (2020). Learning Content-Weighted Deep Image Compression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(10). 3446–3461. 54 indexed citations
9.
Zhang, David, et al.. (2018). Breath Analysis for Detecting Diseases on Respiratory, Metabolic and Digestive System. 2(3). 1 indexed citations
10.
Hao, Yanhua, Qunhong Wu, Ning Ning, et al.. (2015). Community preparedness for emergency: a cross-sectional survey of residents in Heilongjiang of China. BMJ Open. 5(11). e008479–e008479. 19 indexed citations
11.
Arabnia, Hamid R., Leonidas Deligiannidis, Joan Lu, et al.. (2015). Image Processing, Computer Vision, and Pattern Recognition. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
12.
Liu, James N.K., Yanxing Hu, Jane You, & Pak Wai Chan. (2014). Deep neural network based feature representation for weather forecasting. International Conference on Artificial Intelligence. 105–110. 50 indexed citations
13.
Zhang, Bob, Jane You, Fakhri Karray, Chea‐su Kee, & Qin Li. (2009). Astigmatism and eye shape. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 72–77. 1 indexed citations
14.
Zhang, Yibo, Qin Li, Jane You, & Prabir Bhattacharya. (2007). Palm Vein Extraction and Matching for Personal Identification and Liveness Detection.. IPCV. 579–583. 1 indexed citations
15.
Qin, Li, Jane You, Lei Zhang, & Prabir Bhattacharya. (2006). Automated Retinal Vessel Segmentation Using Gabor Filters and Scale Multiplication.. IPCV. 22–28. 8 indexed citations
16.
Wei, Ning, Jane You, Karl Friehs, Erwin Flaschel, & Tim W. Nattkemper. (2006). In situ dark field microscopy for on-line monitoring of yeast cultures. Biotechnology Letters. 29(3). 373–378. 28 indexed citations
17.
Cheung, King Hong, Adams Wai‐Kin Kong, Jane You, & David Zhang. (2005). An analysis on invertibility of cancelable biometrics based on biohashing. 40–45. 26 indexed citations
18.
Zhang, David, et al.. (2003). The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 25(9). 654 indexed citations breakdown →
19.
You, Jane, Adams Wai‐Kin Kong, David Zhang, & King Hong Cheung. (2003). On Hierarchical Palmprint Coding with Multi-Features for Personal Identification in Large Databases.. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 105–108. 5 indexed citations
20.
Ma, Weimin, Hui Chen, Jane You, Simon James, & Yinfeng Xu. (2002). On-Line k-Server Problem with Twin-Request.. Computers and Their Applications. 277–282. 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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