Zihang Lai

842 total citations
10 papers, 372 citations indexed

About

Zihang Lai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Zihang Lai has authored 10 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Zihang Lai's work include Advanced Vision and Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Image Processing Techniques (2 papers). Zihang Lai is often cited by papers focused on Advanced Vision and Imaging (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Image Processing Techniques (2 papers). Zihang Lai collaborates with scholars based in United Kingdom, United States and China. Zihang Lai's co-authors include Gao Huang, Weidi Xie, Erika Lu, Laurens van der Maaten, Kilian Q. Weinberger, Mark Campbell, Yan Wang, Shiji Song, Shuang Li and Chunjiang Ge and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Zihang Lai

10 papers receiving 367 citations

Peers

Zihang Lai
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 307
  • Artificial Intelligence 124
  • Media Technology 41
  • Aerospace Engineering 38
  • Biomedical Engineering 13
Replace Mengyang Pu with:
Mengyang Pu China
Chenxin Tao China
Md Amirul Islam Canada
Bingbing Zhuang United States
Dae-Hwan Kim South Korea
Xiangyang Li China
Daesik Jang South Korea
Peter Pinggera Germany
Fereshteh Sadeghi Iran
Nathan Drenkow United States
Mengyang Pu China View profile →
Citations per field, relative to Zihang Lai
Zihang Lai · 1×
Citations per year, relative to Zihang Lai
Zihang Lai · 1×

Countries citing papers authored by Zihang Lai

Since Specialization
Citations

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

Fields of papers citing papers by Zihang Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihang Lai

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 92
3 34
4 17
5 94
6
Self-supervised Video Representation Learning for Correspondence Flow.
1
7 4
8 124
9 4
10
Learning action model in AI planning based on genetic algorithm
1

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