Xiang Wu

3.5k total citations · 1 hit paper
31 papers, 2.0k citations indexed

About

Xiang Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Neurology. According to data from OpenAlex, Xiang Wu has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 3 papers in Neurology. Recurrent topics in Xiang Wu's work include Face recognition and analysis (18 papers), Face and Expression Recognition (14 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Xiang Wu is often cited by papers focused on Face recognition and analysis (18 papers), Face and Expression Recognition (14 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Xiang Wu collaborates with scholars based in China, United States and Malaysia. Xiang Wu's co-authors include Ran He, Tieniu Tan, Zhenan Sun, Lingxiao Song, Yibo Hu, Chaoyou Fu, Bing Yu, Man Zhang, Hailin Shi and Tao Mei and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Xiang Wu

30 papers receiving 2.0k citations

Hit Papers

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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.

A Light CNN for Deep Face Representation With Noisy Labels

2018 743 citations Xiang Wu, Ran He et al. IEEE Transactions on Information Forensics and Security profile →

Peers

Countries citing papers authored by Xiang Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Wu. A scholar is included among the top collaborators of Xiang Wu 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 Xiang Wu. Xiang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Embedding Attribute Scattering Center with Convolutional Prototype Learninig for SAR Open-Set Recognition 2024 ·Xiayang Xiao, (unknown), Xiang Wu, Haipeng Wang	1
2	HYPERSPECTRAL ESTIMATION OF WHEAT CHLOROPHYLL CONTENT BASED ON PRINCIPAL COMPONENT ANALYSIS 2023 ·Applied Ecology and Environmental Research ·(unknown), Jiyong Shi, Xiang Wu, Mingqiang Guo, Cunjun Li	1
3	Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative 2023 ·Frontiers in Bioengineering and Biotechnology ·(unknown), Khin Wee Lai, Siew Li Goh, Khairunnisa Hasikin‬, Xiang Wu, Pei Li	26
4	Iterative embedding distillation for open world vehicle recognition 2022 ·Pattern Recognition ·(unknown), Xiang Wu, Yibo Hu, Chaoyou Fu, Zi Wang, Ran He	0
5	High-Fidelity Face Manipulation With Extreme Poses and Expressions 2021 ·IEEE Transactions on Information Forensics and Security ·Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He	43
6	CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He	113
7	Deep momentum uncertainty hashing 2021 ·Pattern Recognition ·Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He	16
8	Coupled adversarial learning for semi-supervised heterogeneous face recognition 2020 ·Pattern Recognition ·Ran He, Yi Li, Xiang Wu, Lingxiao Song, Zhenhua Chai, (unknown)	32
9	HAMBox: Delving Into Mining High-Quality Anchors on Face Detection 2020 ·Yang Liu, Xu Tang, Junyu Han, Jingtuo Liu, (unknown), Xiang Wu	40
10	Deep label refinement for age estimation 2019 ·Pattern Recognition ·(unknown), Yibo Hu, Xiang Wu, Ran He, Zhenan Sun	33
11	Progressively Refined Face Detection Through Semantics-Enriched Representation Learning 2019 ·IEEE Transactions on Information Forensics and Security ·Zhihang Li, Xu Tang, Xiang Wu, Jingtuo Liu, Ran He	11
12	Hybrid Sequence Encoder for Text Based Video Retrieval. 2019 ·TRECVID ·Xiang Wu, Da Chen, Yuan He, Hui Xue, Mingli Song, Feng Mao	3
13	Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification 2019 ·Pattern Recognition ·Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan	24
14	Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition 2018 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan	242
15	A Light CNN for Deep Face Representation With Noisy Labels breakdown → 2018 ·IEEE Transactions on Information Forensics and Security ·Xiang Wu, Ran He, Zhenan Sun, Tieniu Tan	743
16	Pose-Guided Photorealistic Face Rotation 2018 ·Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun	122
17	Coupled Deep Learning for Heterogeneous Face Recognition 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan	85
18	Learning Invariant Deep Representation for NIR-VIS Face Recognition 2017 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan	125
19	Spectral characteristics and species identification of rhododendrons using a discriminative restricted Boltzmann machine 2017 ·Spectroscopy Letters ·Xuejuan Chen, Xiang Wu, (unknown), Xiang Chen, Yuwu Zhang, (unknown)	4
20	Local Hybrid Coding for Image Classification 2014 ·Xiang Wu, Jianmin Wang, Mingsheng Long	4

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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