Xingyu Zeng

3.3k total citations · 2 hit papers
18 papers, 1.3k citations indexed

About

Xingyu Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xingyu Zeng has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Xingyu Zeng's work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Xingyu Zeng is often cited by papers focused on Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Xingyu Zeng collaborates with scholars based in Hong Kong, China and Australia. Xingyu Zeng's co-authors include Xiaogang Wang, Wanli Ouyang, Hongsheng Li, Junjie Yan, Buyu Li, Lu Sheng, Tong Xiao, Zhe Wang, Kai Kang and Ruohui Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Xingyu Zeng

16 papers receiving 1.3k citations

Hit Papers

T-CNN: Tubelets With Convolutional Neural Networks for Ob... 2017 2026 2020 2023 2017 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingyu Zeng Hong Kong 14 1.1k 287 247 117 113 18 1.3k
Xiao Tan China 20 921 0.8× 223 0.8× 236 1.0× 116 1.0× 107 0.9× 62 1.1k
Lewei Lu China 9 881 0.8× 328 1.1× 195 0.8× 203 1.7× 116 1.0× 19 1.3k
Fabian Timm Germany 8 690 0.6× 238 0.8× 194 0.8× 204 1.7× 105 0.9× 12 1.2k
Claudius Gläser Germany 10 619 0.5× 257 0.9× 249 1.0× 256 2.2× 84 0.7× 31 1.1k
Buyu Li China 5 921 0.8× 458 1.6× 256 1.0× 75 0.6× 111 1.0× 5 1.3k
Tianfu Wu United States 21 982 0.9× 218 0.8× 300 1.2× 49 0.4× 111 1.0× 79 1.5k
Di Feng Germany 10 738 0.7× 325 1.1× 267 1.1× 275 2.4× 86 0.8× 10 1.3k
Shenqi Lai China 11 1.6k 1.4× 333 1.2× 114 0.5× 64 0.5× 130 1.2× 27 1.9k
Senthil Yogamani France 18 693 0.6× 183 0.6× 232 0.9× 189 1.6× 85 0.8× 61 1.0k
Adrien Gaidon United States 19 1.5k 1.3× 481 1.7× 226 0.9× 248 2.1× 164 1.5× 40 1.8k

Countries citing papers authored by Xingyu Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Xingyu Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyu Zeng

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

All Works

18 of 18 papers shown
1.
Chen, Yihong, Bin Zhang, Shiwei Shi, et al.. (2024). TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. 371–385. 3 indexed citations
2.
Wang, Kun, et al.. (2023). An Effective Crop-Paste Pipeline for Few-shot Object Detection. 4820–4828. 10 indexed citations
3.
Wang, Kun, et al.. (2023). Explore the Power of Synthetic Data on Few-shot Object Detection. 638–647. 16 indexed citations
4.
Zeng, Xingyu, et al.. (2021). Research on ABAC Access Control Based on Big Data Platform. 3(4). 187–199.
5.
Yin, Wei, et al.. (2021). ICMPTend: Internet Control Message Protocol Covert Tunnel Attack Intent Detector. Computers, materials & continua/Computers, materials & continua (Print). 71(2). 2315–2331.
6.
Cai, Yingjie, et al.. (2020). Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10478–10485. 60 indexed citations
7.
Li, Buyu, Wanli Ouyang, Lu Sheng, Xingyu Zeng, & Xiaogang Wang. (2019). GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. 1019–1028. 243 indexed citations breakdown →
8.
Zhang, Hua, Hanbing Yan, Wenmin Li, et al.. (2018). Webshell Traffic Detection With Character-Level Features Based on Deep Learning. IEEE Access. 6. 75268–75277. 25 indexed citations
9.
Guan, Jingwei, Shuai Yi, Xingyu Zeng, Wai-Kuen Cham, & Xiaogang Wang. (2017). Visual Importance and Distortion Guided Deep Image Quality Assessment Framework. IEEE Transactions on Multimedia. 19(11). 2505–2520. 52 indexed citations
10.
Kang, Kai, Hongsheng Li, Junjie Yan, et al.. (2017). T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2896–2907. 357 indexed citations breakdown →
11.
Zeng, Xingyu, Wanli Ouyang, Junjie Yan, et al.. (2017). Crafting GBD-Net for Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(9). 2109–2123. 95 indexed citations
12.
Ouyang, Wanli, Xingyu Zeng, & Xiaogang Wang. (2016). Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model. International Journal of Computer Vision. 120(1). 14–27. 43 indexed citations
13.
Ouyang, Wanli, Xingyu Zeng, Xiaogang Wang, et al.. (2016). DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(7). 1320–1334. 132 indexed citations
14.
Ouyang, Wanli, Xingyu Zeng, & Xiaogang Wang. (2015). Partial Occlusion Handling in Pedestrian Detection With a Deep Model. IEEE Transactions on Circuits and Systems for Video Technology. 26(11). 2123–2137. 49 indexed citations
15.
Ouyang, Wanli, Hongyang Li, Xingyu Zeng, & Xiaogang Wang. (2015). Learning Deep Representation with Large-Scale Attributes. The HKU Scholars Hub (University of Hong Kong). 1895–1903. 15 indexed citations
16.
Ouyang, Wanli, Xingyu Zeng, & Xiaogang Wang. (2014). Single-Pedestrian Detection Aided by Two-Pedestrian Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(9). 1875–1889. 45 indexed citations
17.
Zeng, Xingyu, Wanli Ouyang, & Xiaogang Wang. (2013). Multi-stage Contextual Deep Learning for Pedestrian Detection. 121–128. 102 indexed citations
18.
Ouyang, Wanli, Xingyu Zeng, & Xiaogang Wang. (2013). Modeling Mutual Visibility Relationship in Pedestrian Detection. 3222–3229. 85 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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