Wang Dahu

411 citations
20 papers · 269 indexed · h-index 6
Topics
Chaos-based Image/Signal Encryption (5 papers)Cryptographic Implementations and Security (5 papers)Coding theory and cryptography (4 papers)
Partner nations
ChinaIndiaTaiwan

In The Last Decade

Wang Dahu

16 papers receiving 242 citations

Peers

Wang Dahu
Comparison fields: 5 of 76
  • Information Systems 156
  • Artificial Intelligence 85
  • Computer Networks and Communications 70
  • Computer Vision and Pattern Recognition 48
  • Electrical and Electronic Engineering 28
Replace Chang Chen with:
Chang Chen China
Kuanishbay Sadatdiynov China
Juha Partala Finland
Xiaoxu Ren China
Dara Nanda Gopala Krishna India
Fujian Zhu China
Mary Subaja Christo India
Dindar Mikaeel Ahmed Iraq
Md. Julkar Nayeen Mahi Bangladesh
Yao-Tsung Yang Taiwan
Wang Dahu relative to Chang Chen China Chang Chen's profile →
Citations per field
00.5×1.7×
Chang Chen · 1×
Citations per year

Countries citing papers authored by Wang Dahu

Since Specialization
Citations

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

Fields of papers citing papers by Wang Dahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Dahu

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Dahu. A scholar is included among the top collaborators of Wang Dahu 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 Wang Dahu. Wang Dahu 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 0
4 4
5 8
6 46
7 2
8 164
9 13
10
The Application of Camtasia Studio in the production of Micro-class
1
11 4
12 6
13 10
14 0
15 0
16 2
17 2
18 2
19 2
20
A new key exchange scheme based on extended Chebyshev polynomials
2

About Wang Dahu

Wang Dahu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 20 papers that have together received 269 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (5 papers), Cryptographic Implementations and Security (5 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Information Systems (156 citations), Computer Networks and Communications (70 citations) and Artificial Intelligence (85 citations). Wang Dahu has collaborated with scholars based in China, India and Taiwan. Frequent co-authors include Pengcheng Wei, Sumarga Kumar Sah Tyagi, Neeraj Kumar, Yu Zhao, Xin Zhang, Tong Zhang, Lin Sha, Lin-Qiang Li, Yiying Wang and Hao Shi. Their work appears in journals such as IEEE Access, Future Generation Computer Systems and Journal of Visual Communication and Image Representation.

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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