Beitao Li

492 citations
18 papers · 317 indexed · h-index 10
Topics
Advanced Image and Video Retrieval Techniques (15 papers)Image Retrieval and Classification Techniques (15 papers)Video Analysis and Summarization (7 papers)
Partner nations
United States

In The Last Decade

Beitao Li

18 papers receiving 293 citations

Peers

Beitao Li
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 275
  • Artificial Intelligence 88
  • Signal Processing 58
  • Media Technology 33
  • Information Systems 17
Replace Philippe Mulhem with:
Philippe Mulhem France
Jiangying Zhou United States
Shi-Yong Neo Singapore
Pau Riba Spain
Akira Yanagawa United States
Souvik Bhattacharyya India
Joan Puigcerver Spain
Bertrand Coüasnon France
Yasuhisa Fujii United States
H.-J. Zhang China
Beitao Li relative to Philippe Mulhem France Philippe Mulhem's profile →
Citations per field
00.5×1.6×
Philippe Mulhem · 1×
Citations per year

Countries citing papers authored by Beitao Li

Since Specialization
Citations

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

Fields of papers citing papers by Beitao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beitao Li

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 18
2 53
3 1
4 14
5 2
6 35
7 43
8 2
9 34
10 5
11 3
12 37
13 9
14 1
15 21
16 6
17 31
18
Indexing Tamper Resistant Features for Image Copy Detection
2

About Beitao Li

Beitao Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 18 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (15 papers) and Video Analysis and Summarization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (275 citations), Signal Processing (58 citations) and Media Technology (33 citations). Beitao Li has collaborated with scholars based in United States. Frequent co-authors include Edward Yi Chang, King-Shy Goh, Gang Wu, Yi Wu, Meng Yan, Chang, Chung‐Sheng Li, Kwang‐Ting Cheng, Yi Wu and Wei-Cheng Lai. Their work appears in journals such as ACM Transactions on Information Systems, Multimedia Systems and ACM Transactions on Multimedia Computing Communications and Applications.

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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