Pengfei Xu

1.5k total citations
53 papers, 901 citations indexed

About

Pengfei Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Pengfei Xu has authored 53 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Pengfei Xu's work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (17 papers) and Human Pose and Action Recognition (8 papers). Pengfei Xu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (17 papers) and Human Pose and Action Recognition (8 papers). Pengfei Xu collaborates with scholars based in China, United States and Germany. Pengfei Xu's co-authors include Hongxun Yao, Sicheng Zhao, Runbo Hu, Kurt Keutzer, Xiaoshuai Sun, Kuiyuan Yang, Hua Chai, Rongrong Ji, Wei Yu and Tianyu Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and International Journal of Computer Vision.

In The Last Decade

Pengfei Xu

49 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengfei Xu China 16 678 366 76 65 47 53 901
Jiayuan Gu China 6 819 1.2× 393 1.1× 66 0.9× 86 1.3× 47 1.0× 14 1.1k
Yang Wu China 20 1.0k 1.5× 312 0.9× 62 0.8× 74 1.1× 29 0.6× 75 1.3k
Seunghoon Hong South Korea 13 967 1.4× 321 0.9× 71 0.9× 90 1.4× 23 0.5× 25 1.2k
Sergey Ablameyko Belarus 12 568 0.8× 207 0.6× 92 1.2× 44 0.7× 26 0.6× 129 955
Stamatios Georgoulis Switzerland 8 503 0.7× 352 1.0× 62 0.8× 50 0.8× 35 0.7× 19 929
Xianxu Hou China 16 646 1.0× 297 0.8× 108 1.4× 62 1.0× 20 0.4× 38 959
Keze Wang China 16 874 1.3× 543 1.5× 110 1.4× 42 0.6× 31 0.7× 38 1.3k
Kun Yuan China 12 500 0.7× 222 0.6× 121 1.6× 42 0.6× 30 0.6× 32 727
Shilong Liu China 11 728 1.1× 280 0.8× 115 1.5× 177 2.7× 36 0.8× 22 1.1k

Countries citing papers authored by Pengfei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Xu. A scholar is included among the top collaborators of Pengfei Xu 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 Pengfei Xu. Pengfei Xu 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.
Feng, Xuening, et al.. (2025). DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 16604–16612.
2.
Ma, Chenghu, et al.. (2025). TSD-Net: A Traffic Sign Detection Network Addressing Insufficient Perception Resolution and Complex Background. Sensors. 25(11). 3511–3511. 1 indexed citations
3.
Chen, Yuxing, Mohammad A. Hoque, Pengfei Xu, Jiaheng Lu, & Sasu Tarkoma. (2023). SimCost: cost-effective resource provision prediction and recommendation for spark workloads. Distributed and Parallel Databases. 42(1). 73–102. 4 indexed citations
4.
Zhao, Sicheng, Xiangyu Yue, Chuang Lin, et al.. (2021). Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Transactions on Cybernetics. 52(10). 10000–10013. 15 indexed citations
5.
Zhao, Yang, Chaojian Li, Yue Wang, et al.. (2020). DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1593–1597. 33 indexed citations
6.
You, Haoran, Chaojian Li, Pengfei Xu, et al.. (2020). Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. arXiv (Cornell University). 27 indexed citations
7.
Pan, Xingjia, Fan Tang, Weiming Dong, et al.. (2020). Self-Supervised Feature Augmentation for Large Image Object Detection. IEEE Transactions on Image Processing. 29. 6745–6758. 31 indexed citations
8.
Xu, Pengfei. (2020). AFD(Animal Face Dataset). Data Archiving and Networked Services (DANS). 2. 1 indexed citations
9.
Jiang, Zhongyu, et al.. (2019). E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy. Neural Information Processing Systems. 3 indexed citations
10.
Wang, Yue, Ziyu Jiang, Xiaohan Chen, et al.. (2019). E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy. arXiv (Cornell University).
11.
Li, Site, Yang Gu, Zhichao Song, et al.. (2019). Small Traffic Sign Detection Through Selective Feature Fusion Based Faster R-CNN With Arc-Softmax Loss. 1–9. 1 indexed citations
12.
Zhao, Shifeng, et al.. (2018). Vascular Extraction Using MRA Statistics and Gradient Information. Mathematical Problems in Engineering. 2018. 1–8. 5 indexed citations
13.
Yu, Wei, Kuiyuan Yang, Hongxun Yao, Xiaoshuai Sun, & Pengfei Xu. (2016). Exploiting the complementary strengths of multi-layer CNN features for image retrieval. Neurocomputing. 237. 235–241. 106 indexed citations
14.
Xu, Pengfei, Lei Zhang, Kuiyuan Yang, & Hongxun Yao. (2013). Nested-SIFT for Efficient Image Matching and Retrieval. IEEE Multimedia. 20(3). 34–46. 30 indexed citations
15.
Han, Tingting, Hongxun Yao, Yanhao Zhang, & Pengfei Xu. (2013). A spatial-temporal constraint-based action recognition method. 2767–2771. 1 indexed citations
16.
Li, Xiaojuan, et al.. (2011). A New Face Recognition Framework: Symmetrical Bilateral 2DPLS plus LDA. Journal of Multimedia. 6(1). 4 indexed citations
17.
Sun, Xiaoshuai, Hongxun Yao, Rongrong Ji, et al.. (2010). Visual saliency as sequential eye fixation probability. 18. 1093–1096. 2 indexed citations
18.
Li, Xiaojuan, et al.. (2010). Global Face Recognition Framework Based on Symmetrical 2DPLS by Two Sides Plus LDA. 36. 60–64. 1 indexed citations
19.
20.
Zhang, Qiang, Pengfei Xu, Li Wen, Zhongke Wu, & Mingquan Zhou. (2009). Efficient edge matching using improved hierarchical chamfer matching. 1645–1648. 4 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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