Xingyu Zeng

57 total papers · 3.3k total citations
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, Lu Sheng, Buyu Li, Tong Xiao, Zhe Wang, Bin Yang and Kai Kang 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 Conv... 2017 2026 2020 2023 2017 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xingyu Zeng 1.1k 285 244 114 112 18 1.3k
Lewei Lu 853 0.8× 324 1.1× 187 0.8× 192 1.7× 113 1.0× 18 1.3k
Fabian Timm 680 0.6× 236 0.8× 189 0.8× 202 1.8× 102 0.9× 12 1.2k
Alexander Neubeck 995 0.9× 202 0.7× 264 1.1× 61 0.5× 162 1.4× 12 1.4k
Chenchen Zhu 833 0.7× 364 1.3× 227 0.9× 87 0.8× 218 1.9× 42 1.3k
Shenqi Lai 1.6k 1.4× 330 1.2× 111 0.5× 62 0.5× 129 1.2× 27 1.8k
Yi Jiang 970 0.9× 316 1.1× 200 0.8× 53 0.5× 136 1.2× 34 1.3k
Markus Mathias 1.3k 1.2× 301 1.1× 166 0.7× 182 1.6× 190 1.7× 17 1.6k
Peter Kontschieder 1.2k 1.1× 558 2.0× 195 0.8× 143 1.3× 111 1.0× 42 1.8k
Di Feng 721 0.6× 322 1.1× 261 1.1× 271 2.4× 83 0.7× 10 1.3k
Xiaodong Yang 1.5k 1.3× 316 1.1× 104 0.4× 198 1.7× 123 1.1× 23 1.6k

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

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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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