Weili Guan

2.3k citations
88 papers · 1.5k indexed · h-index 23
Topics
Advanced Image and Video Retrieval Techniques (21 papers)Multimodal Machine Learning Applications (19 papers)Video Surveillance and Tracking Methods (12 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Weili Guan

76 papers receiving 1.5k citations

Peers

Weili Guan
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 925
  • Artificial Intelligence 664
  • Information Systems 182
  • Biomedical Engineering 71
  • Control and Systems Engineering 62
Replace Hong-Han Shuai with:
Hong-Han Shuai Taiwan
Lei Huang China
Donglin Cao China
Yilin Yan United States
Bin Gu China
Haoxuan You United States
Hyunwoo J. Kim South Korea
De‐Chuan Zhan China
Jian Yin China
Pengzhen Ren Australia
Weili Guan relative to Hong-Han Shuai Taiwan Hong-Han Shuai's profile →
Citations per field
00.5×1.5×
Hong-Han Shuai · 1×
Citations per year

Countries citing papers authored by Weili Guan

Since Specialization
Citations

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

Fields of papers citing papers by Weili Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weili Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Weili Guan. A scholar is included among the top collaborators of Weili Guan 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 Weili Guan. Weili Guan 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 0
6 0
7 0
8 1
9 2
10 10
11 22
12 4
13 8
14 12
15 4
16 3
17 69
18 48
19 30
20 11

About Weili Guan

Weili Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (21 papers), Multimodal Machine Learning Applications (19 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (925 citations), Artificial Intelligence (664 citations) and Information Systems (182 citations). Weili Guan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Lei Zhu, Liqiang Nie, Xiaojun Chang, Zan Gao, Meng Wang, Jingjing Li, Huijun Hu, Maofu Liu, Xuemeng Song and Zhiyong Cheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

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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