Baoxia Li

432 citations
22 papers · 251 indexed · h-index 6
Topics
Advanced Steganography and Watermarking Techniques (5 papers)Digital Media Forensic Detection (5 papers)Chaos-based Image/Signal Encryption (3 papers)
Partner nations
ChinaFrance

In The Last Decade

Baoxia Li

17 papers receiving 241 citations

Peers

Baoxia Li
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 192
  • Artificial Intelligence 23
  • Biomedical Engineering 16
  • Molecular Biology 15
  • Radiology, Nuclear Medicine and Imaging 15
Replace Tarun Kalluri with:
Tarun Kalluri United States
Mousomi Roy India
Jeffrey De Fauw United States
Monalisa Sahu India
Fartash Faghri United States
Véronique Églin France
Mohamed Tajine France
Minjae Kim South Korea
Valentin Khrulkov Russia
Tiago S. Nazaré Brazil
Baoxia Li relative to Tarun Kalluri United States Tarun Kalluri's profile →
Citations per field
00.5×1.5×2.3×
Tarun Kalluri · 1×
Citations per year

Countries citing papers authored by Baoxia Li

Since Specialization
Citations

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

Fields of papers citing papers by Baoxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxia Li. A scholar is included among the top collaborators of Baoxia 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 Baoxia Li. Baoxia 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 2
4 1
5 0
6 1
7 5
8 4
9 0
10 4
11 4
12 3
13 3
14 10
15 60
16 11
17 3
18 22
19
Calcination de-alkali of alkali coal-cinder yielded from catalytic gasification for pulverized anthracite
1
20
Research progress of coal ash fusibility
1

About Baoxia Li

Baoxia Li is a scholar working on Fuel Technology, Computer Vision and Pattern Recognition and Geochemistry and Petrology, having authored 22 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (5 papers), Digital Media Forensic Detection (5 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Acoustics and Ultrasonics (1 citation) and Media Technology (9 citations). Baoxia Li has collaborated with scholars based in China and France. Frequent co-authors include Xintao Duan, Daidou Guo, Chuan Qin, Kai Jia, En Zhang, Juan Chen, Mian Long, Yuanyuan Ma, Feng Huang and Dan Zhang. Their work appears in journals such as Analytical Biochemistry, IEEE Access and Computer Physics Communications.

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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