KokSheik Wong

3.7k citations
157 papers · 2.5k indexed · 1 hit paper · h-index 25
Topics
Advanced Steganography and Watermarking Techniques (81 papers)Digital Media Forensic Detection (53 papers)Chaos-based Image/Signal Encryption (53 papers)
Partner nations
MalaysiaJapanPakistan

In The Last Decade

KokSheik Wong

148 papers receiving 2.4k citations

Hit Papers

A new hybrid ensemble feature selection framework for mac...2019202620212023201950100150200

Peers

KokSheik Wong
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 1.6k
  • Artificial Intelligence 597
  • Signal Processing 561
  • Information Systems 371
  • Experimental and Cognitive Psychology 369
Replace Raphaël C.‐W. Phan with:
Raphaël C.‐W. Phan Malaysia
Shaohua Teng China
Haoxiang Wang China
Hong-Han Shuai Taiwan
Weixiao Meng China
Alberto F. De Souza Brazil
Lin Feng China
Krishan Kumar India
Hermann Hellwagner Austria
Brandon Amos United States
KokSheik Wong relative to Raphaël C.‐W. Phan Malaysia Raphaël C.‐W. Phan's profile →
Citations per field
00.5×1.5×
Raphaël C.‐W. Phan · 1×
Citations per year

Countries citing papers authored by KokSheik Wong

Since Specialization
Citations

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

Fields of papers citing papers by KokSheik Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KokSheik Wong

This figure shows the co-authorship network connecting the top 25 collaborators of KokSheik Wong. A scholar is included among the top collaborators of KokSheik Wong 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 KokSheik Wong. KokSheik Wong 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 1
3 1
4 1
5 1
6 3
7 3
8 3
9 1
10 1
11 16
12 7
13 4
14 4
15 3
16 69
17 8
18 27
19 7
20 0

About KokSheik Wong

KokSheik Wong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 157 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (81 papers), Digital Media Forensic Detection (53 papers) and Chaos-based Image/Signal Encryption (53 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (561 citations) and Experimental and Cognitive Psychology (369 citations). KokSheik Wong has collaborated with scholars based in Malaysia, Japan and Pakistan. Frequent co-authors include Raphaël C.‐W. Phan, Sze‐Teng Liong, John See, Kiyoshi Tanaka, Yiqi Tew, Kang Leng Chiew, Choon Lin Tan, Kelvin S. C. Yong, Wei King Tiong and Ming-Tao Gan. Their work appears in journals such as IEEE Transactions on Image Processing, BMC Bioinformatics and Information Sciences.

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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