HouZhen WANG

530 citations
30 papers · 400 · h-index 10

Impact in

Papers in

HouZhen WANG

30 papers receiving 381 citations

Peers

HouZhen WANG
Comparison fields: 5 of 35
  • Artificial Intelligence 307
  • Information Systems 83
  • Atomic and Molecular Physics, and Optics 103
  • Computer Vision and Pattern Recognition 65
  • Computational Theory and Mathematics 50
Replace Abhishek Parakh with:
Abhishek Parakh United States
Fabrice Boudot France
Kamer Vishi Norway
Wenping Ma China
Tao Shang China
Mehdi Ghasemi Canada
Thomas Lorünser Austria
Poulami Das United States
HouZhen WANG relative to Abhishek Parakh United States Abhishek Parakh's profile →
Citations per field
00.5×2×3.1×
Abhishek Parakh · 1×
Citations per year

Countries citing papers authored by HouZhen WANG

Since Specialization
Citations

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

Fields of papers citing papers by HouZhen WANG

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside HouZhen WANG, 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 HouZhen WANG Line = papers co-authored together HouZhen WANG links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201957
3 201955
4 202330
5 201925
6 201821
7 201114
8 201412
9 201611
10 201411
11 201510
12 201010
13 202010
14 20168
15 20107
16 20157
17 20206
18 20236
19 20156
20 20165

About HouZhen WANG

HouZhen WANG is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 30 papers that have together received 400 indexed citations. Recurring topics across this work include Coding theory and cryptography (15 papers), Quantum Computing Algorithms and Architecture (14 papers), Cryptography and Data Security (10 papers), Quantum Information and Cryptography (9 papers), Chaos-based Image/Signal Encryption (5 papers), Cryptographic Implementations and Security (4 papers), Quantum Mechanics and Applications (4 papers) and Cryptography and Residue Arithmetic (3 papers). The work is most often cited by research in Artificial Intelligence (307 citations), Information Systems (83 citations), Atomic and Molecular Physics, and Optics (103 citations), Computer Vision and Pattern Recognition (65 citations) and Computational Theory and Mathematics (50 citations). HouZhen WANG has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Huanguo Zhang, Zhaoxu Ji, Wanqing Wu, Jinhui Liu, Peiru Fan, Yong Hong Yu, Shijia Wang, Debiao He, Zhangyi Wang and Ming Tang. Their work appears in journals such as Science China Information Sciences, Tsinghua Science & Technology, China Communications, Quantum Information Processing and IEEE Transactions on Vehicular Technology.

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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