Xiangqian Wu

4.6k total citations · 1 hit paper
85 papers, 2.6k citations indexed

About

Xiangqian Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiangqian Wu has authored 85 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 32 papers in Signal Processing and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiangqian Wu's work include Biometric Identification and Security (32 papers), Retinal Imaging and Analysis (14 papers) and Handwritten Text Recognition Techniques (14 papers). Xiangqian Wu is often cited by papers focused on Biometric Identification and Security (32 papers), Retinal Imaging and Analysis (14 papers) and Handwritten Text Recognition Techniques (14 papers). Xiangqian Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Xiangqian Wu's co-authors include Kuanquan Wang, Ting Zhao, David Zhang, Youbao Tang, Wei Bu, Qiushi Zhao, Fakhri Karray, Bob Zhang, Jane You and Qin Li and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Xiangqian Wu

80 papers receiving 2.5k citations

Hit Papers

Pyramid Feature Attention Network for Saliency Detection 2019 2026 2021 2023 2019 100 200 300 400 500
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.

  1. Pyramid Feature Attention Network for Saliency Detection
    2019 548 citations Ting Zhao, Xiangqian Wu profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangqian Wu China 26 1.8k 1.0k 466 365 337 85 2.6k
Eric Sung Singapore 18 803 0.4× 325 0.3× 256 0.5× 104 0.3× 236 0.7× 74 1.7k
Raghavendra Ramachandra Norway 34 3.1k 1.7× 2.6k 2.5× 95 0.2× 850 2.3× 53 0.2× 266 4.3k
Vitomir Štruc Slovenia 24 1.5k 0.8× 1.0k 1.0× 141 0.3× 196 0.5× 56 0.2× 116 2.1k
Peter Peer Slovenia 22 1.3k 0.7× 702 0.7× 120 0.3× 155 0.4× 57 0.2× 103 1.7k
Fernando Alonso‐Fernandez Sweden 27 1.3k 0.7× 1.3k 1.3× 35 0.1× 489 1.3× 35 0.1× 92 2.1k
Kuo‐Chin Fan Taiwan 27 2.0k 1.1× 754 0.7× 63 0.1× 252 0.7× 20 0.1× 146 2.8k
Wenxiong Kang China 25 1.1k 0.6× 929 0.9× 81 0.2× 177 0.5× 13 0.0× 116 1.8k
Ruggero Donida Labati Italy 23 916 0.5× 687 0.7× 133 0.3× 417 1.1× 9 0.0× 75 1.9k
Mássimo Tistarelli Italy 24 1.6k 0.9× 782 0.8× 32 0.1× 329 0.9× 14 0.0× 120 2.0k
Yinan Kong Australia 18 478 0.3× 154 0.1× 347 0.7× 312 0.9× 36 0.1× 88 1.5k

Countries citing papers authored by Xiangqian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangqian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangqian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangqian Wu. A scholar is included among the top collaborators of Xiangqian 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 Xiangqian Wu. Xiangqian Wu 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.
Chai, Tingting, et al.. (2025). PalmDiff: When Palmprint Generation Meets Controllable Diffusion Model. IEEE Transactions on Image Processing. 34. 5228–5240.
2.
Zhang, Li, et al.. (2024). Parallel weight control based on policy gradient of relation refinement for cross-modal retrieval. Engineering Applications of Artificial Intelligence. 136. 108949–108949. 1 indexed citations
3.
Chai, Tingting, et al.. (2024). Joint Finger Valley Points-Free ROI Detection and Recurrent Layer Aggregation for Palmprint Recognition in Open Environment. IEEE Transactions on Information Forensics and Security. 20. 421–435. 3 indexed citations
4.
5.
Wu, Xiangqian, et al.. (2023). Tracking by Natural Language Specification with Long Short-term Context Decoupling. 13966–13975. 8 indexed citations
6.
7.
Zhao, Ting & Xiangqian Wu. (2019). Pyramid Feature Selective Network for Saliency detection.. arXiv (Cornell University). 2 indexed citations
8.
Bu, Wei, et al.. (2018). Multi-Scale Recurrent Tracking via Pyramid Recurrent Network and Optical Flow.. British Machine Vision Conference. 242. 6 indexed citations
9.
Bu, Wei, et al.. (2018). Segmentation-Guided Tracking with Prior Map Decision. 38. 2014–2019. 1 indexed citations
10.
Tang, Youbao & Xiangqian Wu. (2018). Scene Text Detection Using Superpixel-Based Stroke Feature Transform and Deep Learning Based Region Classification. IEEE Transactions on Multimedia. 20(9). 2276–2288. 45 indexed citations
11.
Bu, Wei, et al.. (2017). Intra-retinal Layer Segmentation of Macular OCT Images using Edge Superpixels and Manifold Ranking Method. International Journal of Future Generation Communication and Networking. 10(6). 81–98. 2 indexed citations
12.
Tang, Youbao & Xiangqian Wu. (2016). Text-Independent Writer Identification via CNN Features and Joint Bayesian. 566–571. 31 indexed citations
13.
Zhao, Yitian, Yonghuai Liu, Xiangqian Wu, Simon Harding, & Yalin Zheng. (2015). Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase. PLoS ONE. 10(4). e0122332–e0122332. 78 indexed citations
14.
Bu, Wei, et al.. (2014). Palm Vein Verification Using Multiple Features and Locality Preserving Projections. The Scientific World JOURNAL. 2014. 1–11. 17 indexed citations
15.
Wu, Xiangqian, Youbao Tang, & Wei Bu. (2014). Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform. IEEE Transactions on Information Forensics and Security. 9(3). 526–536. 78 indexed citations
16.
Bu, Wei, et al.. (2012). Hand vein recognition based on orientation of LBP. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8371. 83711Y–83711Y. 10 indexed citations
17.
Wu, Xiangqian, Ning Qi, Kuanquan Wang, & David Zhang. (2008). An Iris Cryptosystem for Information Security. 1533–1536. 14 indexed citations
18.
Wu, Xiangqian, et al.. (2005). Wireless Internet payment system using smart cards. 1599. 16–21 Vol. 2. 6 indexed citations
19.
Wu, Xiangqian, David Zhang, Kuanquan Wang, & Bo Huang. (2004). Palmprint classification using principal lines. Pattern Recognition. 37(10). 1987–1998. 133 indexed citations
20.
Wu, Xiangqian, David Zhang, & Kuanquan Wang. (2003). Fisherpalms based palmprint recognition. Pattern Recognition Letters. 24(15). 2829–2838. 281 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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