Baoru Han

545 citations
39 papers · 330 indexed · h-index 10

Impact in

Papers in

Baoru Han

36 papers receiving 315 citations

Peers

Baoru Han
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 196
  • Health Informatics 7
  • Media Technology 26
  • Computer Graphics and Computer-Aided Design 10
  • Signal Processing 28
Replace Bilal Ahmad with:
Bilal Ahmad China
V. Masilamani India
Matthew Simpson United States
Deepak Gupta India
Firas Husham Almukhtar Iraq
Curtis Wigington United States
Shenghui Cheng China
Shailendra Tiwari India
Mahbuba Begum Bangladesh
Somsak Choomchuay Thailand
Baoru Han relative to Bilal Ahmad China Bilal Ahmad's profile →
Citations per field
00.5×4.5×
Bilal Ahmad · 1×
Citations per year

Countries citing papers authored by Baoru Han

Since Specialization
Citations

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

Fields of papers citing papers by Baoru Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Baoru Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Baoru Han Line = papers co-authored together Baoru Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 202135
3 202228
4 201927
5 202225
6 202318
7 202015
8 202212
9 201311
10 201111
11 20228
12 20177
13 20217
14 20157
15
A Robust Watermarking Algorithm for Medical Volume Data Based on Hermite Chaotic Neural Network
20135
16 20245
17 20254
18 20134
19 20214
20
Watermarking algorithm for medical volume data anti-geometric attacks
20163

About Baoru Han

Baoru Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Signal Processing and Microbiology, having authored 39 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (19 papers), Digital Media Forensic Detection (11 papers), Chaos-based Image/Signal Encryption (9 papers), Advanced biosensing and bioanalysis techniques (3 papers), COVID-19 diagnosis using AI (3 papers), Biometric Identification and Security (3 papers), Vehicle License Plate Recognition (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Health Informatics (7 citations), Media Technology (26 citations), Computer Graphics and Computer-Aided Design (10 citations) and Signal Processing (28 citations). Baoru Han has collaborated with scholars based in China, United Kingdom and Thailand. Frequent co-authors include Jinglong Du, Yuanyuan Jia, Han Wang, Rutvij H. Jhaveri, Jingbing Li, Jingbing Li, Jingbing Li, Guo Huang, Lei Cui and Jing Liu. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Biomedical Signal Processing and Control, Journal of Food Composition and Analysis, Innate Immunity and Journal of Multidisciplinary Healthcare.

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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