Xiaohan Yu

2.3k total citations
145 papers, 1.5k citations indexed

About

Xiaohan Yu is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Xiaohan Yu has authored 145 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 39 papers in Electronic, Optical and Magnetic Materials and 29 papers in Condensed Matter Physics. Recurrent topics in Xiaohan Yu's work include Magnetic and transport properties of perovskites and related materials (38 papers), Advanced Condensed Matter Physics (28 papers) and Multiferroics and related materials (16 papers). Xiaohan Yu is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (38 papers), Advanced Condensed Matter Physics (28 papers) and Multiferroics and related materials (16 papers). Xiaohan Yu collaborates with scholars based in China, Australia and United Kingdom. Xiaohan Yu's co-authors include Yongsheng Gao, Yang Zhao, Xiang Liu, Shengwu Xiong, Xiaoli Guan, Shuaizhao Jin, Xin Gu, Xingrui Pu, Kaili Chu and Hongjiang Li and has published in prestigious journals such as Applied Physics Letters, Bioinformatics and Journal of Applied Physics.

In The Last Decade

Xiaohan Yu

131 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaohan Yu China	22	566	415	401	314	241	145	1.5k
Ziyuan Yang China	22	328 0.6×	84 0.2×	511 1.3×	206 0.7×	118 0.5×	109	1.5k
Yuxing Wang China	17	359 0.6×	475 1.1×	217 0.5×	71 0.2×	32 0.1×	94	1.3k
Anish Gupta India	20	234 0.4×	28 0.1×	362 0.9×	50 0.2×	107 0.4×	105	1.1k
A. Scorzoni Italy	24	367 0.6×	65 0.2×	193 0.5×	53 0.2×	30 0.1×	152	2.1k
Yan Xu China	26	230 0.4×	85 0.2×	520 1.3×	493 1.6×	274 1.1×	186	2.7k
Pengyun Chen China	19	197 0.3×	13 0.0×	448 1.1×	167 0.5×	47 0.2×	122	1.4k

Countries citing papers authored by Xiaohan Yu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohan Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Yu

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

Zhang, Jiawei, et al.. (2025). Investigating Synthetic-to-Real Transfer Robustness for Stereo Matching and Optical Flow Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 9113–9129.

Xu, Fan, et al.. (2025). p66shc exacerbates the progression of obstructive nephropathy through apoptosis, mitochondrial damage, and EMT. Journal of Pediatric Urology. 21(4). 834–843.

Wang, Jun, Lixing Zhu, Xiaohan Yu, Abhir Bhalerao, & Yulan He. (2025). Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration. IEEE Journal of Biomedical and Health Informatics. PP. 1–12.

Wang, Yanheng, et al.. (2025). A Generative Pretrained Transformer for Semi-Supervised Hyperspectral Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations

Yu, Xiaohan, et al.. (2024). Consistent prototype contrastive learning for weakly supervised person search. Journal of Visual Communication and Image Representation. 105. 104321–104321.

Liu, Wenxuan, Xuemei Jia, Xian Zhong, et al.. (2024). Dynamic and static mutual fitting for action recognition. Pattern Recognition. 157. 110948–110948. 2 indexed citations

Pan, Zicheng, Xiaohan Yu, Weichuan Zhang, & Yongsheng Gao. (2024). Overcoming learning bias via Prototypical Feature Compensation for source-free domain adaptation. Pattern Recognition. 158. 111025–111025. 7 indexed citations

Ren, Jiandong, et al.. (2024). The Genetic Diversity Assessment of Broomcorn Millet (Panicum miliaceum) and the Construction of a Mini-Core Collection. Agronomy. 14(10). 2226–2226. 1 indexed citations

Zhao, Yang, Xiaohan Yu, Zhibin Liao, et al.. (2024). Occluded Person Retrieval with Hierarchical Feature Optimization. abs/1907.03253. 1–8.

10.

Yu, Xiaohan, Zicheng Pan, Yang Zhao, & Yongsheng Gao. (2024). Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3547–3558. 4 indexed citations

11.

Ye, Yin, Qiangqiang Huang, Yi Rong, et al.. (2023). Field detection of small pests through stochastic gradient descent with genetic algorithm. Computers and Electronics in Agriculture. 206. 107694–107694. 25 indexed citations

12.

Yu, Xiaohan, Jun Wang, & Yongsheng Gao. (2023). CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. Griffith Research Online (Griffith University, Queensland, Australia). 4531–4539. 4 indexed citations

13.

Yu, Xiaohan, Dong An, Yaoguang Wei, et al.. (2023). Learning consistent region features for lifelong person re-identification. Pattern Recognition. 144. 109837–109837. 17 indexed citations

14.

Gu, Xin, Shuaizhao Jin, Xiaoli Guan, et al.. (2023). Comparative study of La0.7Ca0.18Sr0.12MnO3 films with room-temperature TCR grown on SrTiO3, La0.3Sr0.7Al0.65Ta0.35O3 and LaAlO3 substrates. Ceramics International. 49(14). 22952–22960. 11 indexed citations

15.

Zhao, Yang, Xinlong Wang, Xiaohan Yu, Chunlei Liu, & Yongsheng Gao. (2022). Gait-Assisted Video Person Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 33(2). 897–908. 7 indexed citations

16.

Yu, Xiaohan, Yang Zhao, Yongsheng Gao, & Shengwu Xiong. (2022). Learning Deep Asymmetric Tolerant Part Representation. IEEE Transactions on Artificial Intelligence. 4(6). 1789–1801. 1 indexed citations

17.

Chen, Xiaolong, et al.. (2017). Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution. 电子与信息学报. 39(5). 1017–1023. 8 indexed citations

18.

Chen, Zhong, Shengwu Xiong, Qingzhou Mao, Zhixiang Fang, & Xiaohan Yu. (2015). An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China. Advances in Multimedia. 2015. 1–11. 1 indexed citations

19.

Yu, Xiaohan. (2009). EPICS-based data acquisition system of hard X-ray microfocus station. Nuclear Techniques. 1 indexed citations

20.

Li, Yan, et al.. (1998). The level structure of 76 Se from 76 Br γ decay. Nuclear Science and Techniques. 9(4). 199–208. 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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