Biao Li

2.0k citations
71 papers · 742 indexed · h-index 16
Topics
Advanced Image and Video Retrieval Techniques (9 papers)Advanced Neural Network Applications (6 papers)Advanced Vision and Imaging (6 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentJournal of Cleaner Production

In The Last Decade

Biao Li

66 papers receiving 715 citations

Peers

Biao Li
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 284
  • Artificial Intelligence 129
  • Ecology 70
  • Media Technology 68
  • Information Systems 65
Replace Ziyu Lin with:
Ziyu Lin China
Yifan Zhang China
Zhifeng Guo China
Victor Lobo Portugal
Jorge García–Gutiérrez Spain
Parham Pahlavani Iran
Di Zhu China
Yehua Sheng China
Fengxiang Jin China
Biao Li relative to Ziyu Lin China Ziyu Lin's profile →
Citations per field
00.5×5.3×
Ziyu Lin · 1×
Citations per year

Countries citing papers authored by Biao Li

Since Specialization
Citations

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

Fields of papers citing papers by Biao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Li. A scholar is included among the top collaborators of Biao Li 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 Biao Li. Biao Li 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 0
3 3
4 3
5 24
6 8
7 0
8 4
9 4
10 0
11 1
12 3
13 25
14 10
15 13
16 19
17 21
18
Determining optical flow field in the presence of noise
2
19 32
20
Estimation on Treasury Bond Yield Curve with Generalized Bootstrap Method
0

About Biao Li

Biao Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 71 papers that have together received 742 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Neural Network Applications (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Media Technology (68 citations) and Health Informatics (8 citations). Biao Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Shi, Zhiquan Qi, Shaofeng Wang, Bo Wang, Fu‐Ping Gao, Mingmei Zhang, Chaoyang Wei, Zhensong Chen, Qingbo Wen and Yanjun Fu. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

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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