Hong Cao

2.8k citations
62 papers · 2.0k indexed · h-index 25
Topics
Advanced Steganography and Watermarking Techniques (13 papers)Digital Media Forensic Detection (13 papers)Organic Light-Emitting Diodes Research (11 papers)

In The Last Decade

Hong Cao

58 papers receiving 1.9k citations

Peers

Hong Cao
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 544
  • Electrical and Electronic Engineering 419
  • Biomedical Engineering 419
  • Materials Chemistry 350
  • Signal Processing 278
Replace Xun Wang with:
Xun Wang China
Piyush Agrawal United States
Alan F. Murray United Kingdom
Xin Liao China
Jun Yin China
Yuchun Chang China
Kwang H. Lee South Korea
Jinwen Ma China
Chee Lap Chow Singapore
Hong Cao relative to Xun Wang China Xun Wang's profile →
Citations per field
00.5×4.4×
Xun Wang · 1×
Citations per year

Countries citing papers authored by Hong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Cao. A scholar is included among the top collaborators of Hong Cao 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 Hong Cao. Hong Cao 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 1
2 0
3
Mobility profiling for user verification with anonymized location data
9
4
EAG: Edge adaptive grid data hiding for binary image authentication
6
5 18
6 74
7 1
8 4
9 16
10 18
11 36
12 246
13 34
14 28
15 41
16 1
17 57
18 28
19 73
20 10

About Hong Cao

Hong Cao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Transportation, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (13 papers) and Organic Light-Emitting Diodes Research (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (544 citations), Signal Processing (278 citations) and Media Technology (89 citations). Hong Cao has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Alex C. Kot, John G. Webster, V.R. Vorperian, S. Tungjitkusolmun, Chunhui Huang, Jang‐Zern Tsai, Xiaoli Li, Xi‐Cun Gao, Dieter Haemmerich and Miao Lin. Their work appears in journals such as Nucleic Acids Research, Applied Physics Letters and The Journal of Physical Chemistry B.

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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