Zikang Zhou

641 total citations · 2 hit papers
7 papers, 333 citations indexed

About

Zikang Zhou is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zikang Zhou has authored 7 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Automotive Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Zikang Zhou's work include Autonomous Vehicle Technology and Safety (5 papers), Human Pose and Action Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Zikang Zhou is often cited by papers focused on Autonomous Vehicle Technology and Safety (5 papers), Human Pose and Action Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Zikang Zhou collaborates with scholars based in China, Hong Kong and United States. Zikang Zhou's co-authors include Jianping Wang, Luyao Ye, Kui Wu, Kejie Lu, Yu–Kai Huang, Xuedong Luo, Yifan Huang, Mingyu Li, Huiyu Zhou and Haibo Hu and has published in prestigious journals such as Computer Modeling in Engineering & Sciences and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Zikang Zhou

4 papers receiving 327 citations

Hit Papers

HiVT: Hierarchical Vector Transformer for Multi-Agent Mot... 2022 2026 2023 2024 2022 2023 50 100 150 200

Peers

Zikang Zhou
Comparison fields: 5 of 37
  • Automotive Engineering 256
  • Computer Vision and Pattern Recognition 131
  • Building and Construction 128
  • Artificial Intelligence 98
  • Safety, Risk, Reliability and Quality 70
Replace Jinghuai Zhang with:
Jinghuai Zhang United States
Junru Gu China
Luyao Ye China
Zoey Yang Germany
Yanglan Ou United States
Liushuai Shi China
Kaouther Messaoud France
Dzmitry Tsishkou France
Christoph Hermes Germany
Quan Tran United States
Jinghuai Zhang United States View profile →
Citations per field, relative to Zikang Zhou
Zikang Zhou · 1×
Citations per year, relative to Zikang Zhou
Zikang Zhou · 1×

Countries citing papers authored by Zikang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Zikang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zikang Zhou

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 0
2 9
3 0
4
Query-Centric Trajectory Prediction breakdown →
113
5 7
6
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction breakdown →
204
7 0

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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2026