Yu Xiang

3.1k total citations · 1 hit paper
58 papers, 1.7k citations indexed

About

Yu Xiang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yu Xiang has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Yu Xiang's work include Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yu Xiang is often cited by papers focused on Face recognition and analysis (14 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Yu Xiang collaborates with scholars based in United States, China and Japan. Yu Xiang's co-authors include Manmohan Chandraker, Kihyuk Sohn, Xiaoming Liu, Xi Yin, Guobin Chen, Wongun Choi, Tony Xiao Han, Dimitris Metaxas, Junzhou Huang and Shaoting Zhang and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Signal Processing.

In The Last Decade

Yu Xiang

54 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Learning efficient object detection models with knowledge distillation

2017 411 citations Yu Xiang, Manmohan Chandraker et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Xiang United States	18	1.3k	493	337	83	78	58	1.7k
Jonathan Brandt United States	17	1.9k 1.5×	601 1.2×	342 1.0×	78 0.9×	111 1.4×	32	2.4k
Shiming Ge China	25	1.5k 1.2×	483 1.0×	243 0.7×	122 1.5×	116 1.5×	87	1.9k
Junlin Hu China	19	1.6k 1.3×	445 0.9×	448 1.3×	55 0.7×	116 1.5×	52	2.0k
Jun Yu China	19	1.1k 0.9×	580 1.2×	175 0.5×	49 0.6×	83 1.1×	169	1.7k
Wenrui Dai China	20	583 0.5×	454 0.9×	236 0.7×	40 0.5×	68 0.9×	126	1.2k
Changxing Ding China	24	2.3k 1.8×	514 1.0×	529 1.6×	49 0.6×	123 1.6×	52	2.6k
Tali Dekel Israel	16	1.1k 0.9×	291 0.6×	384 1.1×	76 0.9×	115 1.5×	32	1.6k
Anyi Rao Hong Kong	9	1.2k 0.9×	744 1.5×	228 0.7×	35 0.4×	81 1.0×	19	2.1k
Vinay P. Namboodiri India	15	864 0.7×	483 1.0×	338 1.0×	19 0.2×	110 1.4×	93	1.3k
Anoop Cherian United States	21	836 0.7×	425 0.9×	93 0.3×	127 1.5×	75 1.0×	68	1.2k

Countries citing papers authored by Yu Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Yu Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Xiang

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

Ma, Zhengwei, Jie Yu, X. Qian, et al.. (2025). Biomechanical analysis of spinal range of motion and intervertebral disc loadings in normal and adolescent idiopathic scoliosis models. Frontiers in Bioengineering and Biotechnology. 13. 1473776–1473776.

Fu, Baoqin, Hongyun Chen, Haoyang Liu, et al.. (2025). Dual-functional zwitterionic additive mediated interfacial chemistry towards ultra-stable Zn-I2 batteries over 65,000 cycles. Journal of Energy Chemistry. 115. 488–497.

Chen, Mengmeng, Dingyuan Tang, Yu Xiang, et al.. (2025). Instrument sound classification using a music-based feature extraction model inspired by Mozart's Turkish March pattern. Alexandria Engineering Journal. 118. 354–370. 1 indexed citations

Xiang, Yu, et al.. (2024). Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification. 190–195.

Xiang, Yu, et al.. (2024). Causal Inference From Slowly Varying Nonstationary Processes. IEEE Transactions on Signal and Information Processing over Networks. 10. 403–416. 1 indexed citations

Xiang, Yu, et al.. (2023). Error Probability Bounds for Invariant Causal Prediction via Multiple Access Channels. 1 indexed citations

Xiang, Yu, et al.. (2023). Learning Invariant Representations Under General Interventions on the Response. IEEE Journal on Selected Areas in Information Theory. 4. 808–819. 4 indexed citations

Xiang, Yu, et al.. (2023). Generalized Invariant Matching Property Via Lasso. 4 indexed citations

Xiang, Yu, et al.. (2022). ADMM-Based Differential Privacy Learning for Penalized Quantile Regression on Distributed Functional Data. Mathematics. 10(16). 2954–2954. 2 indexed citations

10.

Liu, Chang, Yu Xiang, Yi‐Hsuan Tsai, et al.. (2022). Learning to Learn across Diverse Data Biases in Deep Face Recognition. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4062–4072. 10 indexed citations

11.

Shi, Yichun, Yu Xiang, Kihyuk Sohn, Manmohan Chandraker, & Anil K. Jain. (2020). Towards Universal Representation Learning for Deep Face Recognition. 6816–6825. 103 indexed citations

12.

Sohn, Kihyuk, Wenling Shang, Yu Xiang, & Manmohan Chandraker. (2018). Unsupervised Domain Adaptation for Distance Metric Learning. International Conference on Learning Representations. 22 indexed citations

13.

Xiang, Yu, et al.. (2018). A coupled encoder–decoder network for joint face detection and landmark localization. Image and Vision Computing. 87. 37–46. 16 indexed citations

14.

Yin, Xi, Yu Xiang, Kihyuk Sohn, Xiaoming Liu, & Manmohan Chandraker. (2017). Towards Large-Pose Face Frontalization in the Wild. 4010–4019. 215 indexed citations

15.

Xiang, Yu, et al.. (2017). A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization. 2878. 251–257. 6 indexed citations

16.

Peng, Xi, Yu Xiang, Kihyuk Sohn, Dimitris Metaxas, & Manmohan Chandraker. (2017). Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition. 1632–1641. 102 indexed citations

17.

Xiang, Yu, Zhe Lin, Shaoting Zhang, & Dimitris Metaxas. (2016). Nonlinear hierarchical part-based regression for unconstrained face alignment. 2711–2717. 1 indexed citations

18.

Xiang, Yu. (2016). Eye Fatigue State Recognition of Gabor Wavelet Optimization HMM Algorithm. International Journal of Hybrid Information Technology. 9(9). 189–198. 3 indexed citations

19.

Liu, Bo, Jingjing Liu, Yu Xiang, Dimitris Metaxas, & Carol Neidle. (2014). 3D Face Tracking and Multi-Scale, Spatio-temporal Analysis of Linguistically Significant Facial Expressions and Head Positions in ASL. Language Resources and Evaluation. 4512–4518. 1 indexed citations

20.

Xiang, Yu, Shaoting Zhang, Zhennan Yan, et al.. (2014). Is Interactional Dissynchrony a Clue to Deception? Insights From Automated Analysis of Nonverbal Visual Cues. IEEE Transactions on Cybernetics. 45(3). 492–506. 24 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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