Xiaopei Wu

918 total citations · 1 hit paper
28 papers, 628 citations indexed

About

Xiaopei Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Xiaopei Wu has authored 28 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Signal Processing. Recurrent topics in Xiaopei Wu's work include Indoor and Outdoor Localization Technologies (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Energy Harvesting in Wireless Networks (3 papers). Xiaopei Wu is often cited by papers focused on Indoor and Outdoor Localization Technologies (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Energy Harvesting in Wireless Networks (3 papers). Xiaopei Wu collaborates with scholars based in China, United States and Hong Kong. Xiaopei Wu's co-authors include Mingyan Liu, Xu Xu, Zhongfu Ye, Jisheng Dai, Yuan He, Yunhao Liu, Weihong Lin, Lei Sun, Haojun Yu and Yuhui Yuan and has published in prestigious journals such as IEEE Access, Neural Networks and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Xiaopei Wu

25 papers receiving 604 citations

Hit Papers

DETRs with Hybrid Matching 2023 2026 2024 2025 2023 40 80 120
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. DETRs with Hybrid Matching
    2023 127 citations Ding Jia, Yuhui Yuan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaopei Wu China 13 193 159 143 134 110 28 628
Shuang Yang China 16 260 1.3× 103 0.6× 113 0.8× 284 2.1× 188 1.7× 61 791
Risanuri Hidayat Indonesia 16 303 1.6× 261 1.6× 93 0.7× 168 1.3× 271 2.5× 165 993
Ruipeng Gao China 15 221 1.1× 469 2.9× 190 1.3× 213 1.6× 105 1.0× 59 866
Nirupam Roy United States 12 471 2.4× 375 2.4× 84 0.6× 238 1.8× 267 2.4× 40 959
Tien Pham United States 13 145 0.8× 131 0.8× 72 0.5× 67 0.5× 226 2.1× 60 594
Bernhard Firner United States 13 168 0.9× 512 3.2× 52 0.4× 185 1.4× 139 1.3× 21 772
Yang Zheng China 12 99 0.5× 284 1.8× 141 1.0× 83 0.6× 102 0.9× 45 625
Sanjay L. Nalbalwar India 16 94 0.5× 199 1.3× 81 0.6× 72 0.5× 109 1.0× 107 751
Qingchang Zhu Singapore 9 145 0.8× 557 3.5× 185 1.3× 336 2.5× 133 1.2× 10 920
Sangki Yun South Korea 12 226 1.2× 510 3.2× 55 0.4× 108 0.8× 39 0.4× 24 778

Countries citing papers authored by Xiaopei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopei Wu. A scholar is included among the top collaborators of Xiaopei 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 Xiaopei Wu. Xiaopei 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.
Wu, Xiaopei, Liang Peng, Liang Xie, et al.. (2024). Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6153–6161. 1 indexed citations
2.
Fan, Cunhang, Andong Li, Xiang Wang, et al.. (2023). CompNet: Complementary network for single-channel speech enhancement. Neural Networks. 168. 508–517. 12 indexed citations
3.
Jia, Ding, Yuhui Yuan, Xiaopei Wu, et al.. (2023). DETRs with Hybrid Matching. 19702–19712. 127 indexed citations breakdown →
4.
Zhang, Chao, Xiaopei Wu, Xi Zheng, et al.. (2021). RICA-MD: A Refined ICA Algorithm for Motion Detection. ACM Transactions on Multimedia Computing Communications and Applications. 17(1s). 1–17. 2 indexed citations
5.
Zhang, Chao, et al.. (2019). Research on Acoustic Feature Extraction of Crying for Early Screening of Children with Autism. 290–295. 16 indexed citations
6.
Cheng, Bing, et al.. (2018). Convolutional neural network implementation for eye movement recognition based on video. 179–184. 3 indexed citations
7.
Liu, Daibo, Xiaopei Wu, Zhichao Cao, et al.. (2015). CD-MAC: A contention detectable MAC for low duty-cycled wireless sensor networks. 37–45. 6 indexed citations
8.
Chen, Xi, Xiaopei Wu, Xiang-Yang Li, et al.. (2015). Privacy-Aware High-Quality Map Generation with Participatory Sensing. IEEE Transactions on Mobile Computing. 15(3). 719–732. 28 indexed citations
9.
Liu, Daibo, Zhichao Cao, Xiaopei Wu, et al.. (2015). Tele Adjusting: Using Path Coding and Opportunistic Forwarding for Remote Control in WSNs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18. 716–725. 5 indexed citations
10.
Chen, Xi, Xiaopei Wu, Xiang-Yang Li, Yuan He, & Yunhao Liu. (2014). Privacy-preserving high-quality map generation with participatory sensing. 2310–2318. 39 indexed citations
11.
Zhou, Jianying, et al.. (2014). A Moving Object Detection Method Based on Sliding Window Gaussian Mixture Model. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 35(7). 1650–1656. 3 indexed citations
12.
Xiang, Chaocan, Panlong Yang, Chang Tian, et al.. (2013). PassFit: Participatory Sensing and Filtering for Identifying Truthful Urban Pollution Sources. IEEE Sensors Journal. 13(10). 3721–3732. 16 indexed citations
13.
Wu, Xiaopei & Mingyan Liu. (2012). In-situ soil moisture sensing: Measurement scheduling and estimation using compressive sensing. 1–11. 12 indexed citations
14.
Wu, Xiaopei, Yue Wu, Mingyan Liu, & Lihua Zheng. (2011). In-Situ Soil Moisture Sensing: Efficient Random Sensor Placement and Field Estimation Using Compressive Sensing. 1–6. 3 indexed citations
15.
Lv, Zhao, Xiaopei Wu, Mi Li, & Dexiang Zhang. (2009). Development of a human computer Interface system using EOG. Health. 1(1). 39–46. 12 indexed citations
16.
Ye, Zhongfu, Jisheng Dai, Xu Xu, & Xiaopei Wu. (2009). DOA Estimation for Uniform Linear Array with Mutual Coupling. IEEE Transactions on Aerospace and Electronic Systems. 45(1). 280–288. 165 indexed citations
17.
Wu, Xiaopei, et al.. (2009). A Fast Thinning Algorithm for Fingerprint Image. 1039–1042. 4 indexed citations
18.
19.
Wu, Xiaopei. (2007). Independent Component Analysis Based on Sliding Window. Journal of Computer Research and Development. 44(1). 185–185.
20.
Long, Fei, et al.. (2002). Applications of independent component analysis to image feature extraction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4875. 471–471. 2 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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