Kaiqi Liu

495 total citations
31 papers, 329 citations indexed

About

Kaiqi Liu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Kaiqi Liu has authored 31 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Environmental Engineering. Recurrent topics in Kaiqi Liu's work include Remote Sensing and LiDAR Applications (7 papers), Video Surveillance and Tracking Methods (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Kaiqi Liu is often cited by papers focused on Remote Sensing and LiDAR Applications (7 papers), Video Surveillance and Tracking Methods (3 papers) and 3D Surveying and Cultural Heritage (3 papers). Kaiqi Liu collaborates with scholars based in China, Canada and United States. Kaiqi Liu's co-authors include Wenguang Wang, Wei Li, Kun Gao, Xiaobin Zhao, Ratnasingham Tharmarasa, Jun Wang, Jun Wang, Jianqiang Wang, Wei Li and Jia Cheng and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kaiqi Liu

27 papers receiving 321 citations

Peers

Kaiqi Liu
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 88
  • Biomedical Engineering 84
  • Aerospace Engineering 64
  • Media Technology 61
  • Environmental Engineering 50
Replace Zhe Fan with:
Zhe Fan China
Dong‐Geol Choi South Korea
Hernsoo Hahn South Korea
Tahir Nawaz United Kingdom
Yutao Yue China
Xin Zhan China
Jiaming Zhang Germany
Cristian Foşalău Romania
Zhe Fan China View profile →
Citations per field, relative to Kaiqi Liu
Kaiqi Liu · 1×
Citations per year, relative to Kaiqi Liu
Kaiqi Liu · 1×

Countries citing papers authored by Kaiqi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaiqi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiqi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiqi Liu. A scholar is included among the top collaborators of Kaiqi Liu 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 Kaiqi Liu. Kaiqi Liu 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
# Work Indexed citations
1 0
2 3
3 1
4 1
5 25
6 13
7 1
8 4
9 45
10 1
11 0
12 1
13 1
14 7
15 8
16 3
17 1
18 6
19 28
20 37

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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