Hongxia Wang

4.1k total citations
298 papers, 2.7k citations indexed

About

Hongxia Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hongxia Wang has authored 298 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Computer Vision and Pattern Recognition, 40 papers in Signal Processing and 40 papers in Artificial Intelligence. Recurrent topics in Hongxia Wang's work include Advanced Steganography and Watermarking Techniques (126 papers), Digital Media Forensic Detection (97 papers) and Chaos-based Image/Signal Encryption (83 papers). Hongxia Wang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (126 papers), Digital Media Forensic Detection (97 papers) and Chaos-based Image/Signal Encryption (83 papers). Hongxia Wang collaborates with scholars based in China, United States and South Korea. Hongxia Wang's co-authors include Peisong He, Hanzhou Wu, Sani M. Abdullahi, H. Vicky Zhao, Yue Li, Nenghai Yu, Ling Xiong, Mengxia Shuai, Mauro Barni and Ruimei Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Biology and Scientific Reports.

In The Last Decade

Hongxia Wang

256 papers receiving 2.6k citations

Peers

Hongxia Wang
Comparison fields: 5 of 142
  • Computer Vision and Pattern Recognition 1.7k
  • Signal Processing 426
  • Artificial Intelligence 392
  • Computer Networks and Communications 355
  • Information Systems 288
Replace Héctor Pérez-Meana with:
Héctor Pérez-Meana Mexico
Zhe‐Ming Lu China
Jinwei Wang China
Marius Kloft Germany
Dezhong Peng China
Karim Faez Iran
El-Sayed M. El-Alfy Saudi Arabia
Ja‐Ling Wu Taiwan
Li-wei He United States
Héctor Pérez-Meana Mexico View profile →
Citations per field, relative to Hongxia Wang
Hongxia Wang · 1×
Citations per year, relative to Hongxia Wang
Hongxia Wang · 1×

Countries citing papers authored by Hongxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongxia Wang. A scholar is included among the top collaborators of Hongxia Wang 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 Hongxia Wang. Hongxia Wang 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 4
7 3
8 1
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10 2
11 1
12 8
13 7
14 2
15 14
16 7
17 11
18 2
19 28
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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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