Yanwei Zhou

1.6k citations
95 papers · 850 · h-index 19

Impact in

Papers in

Yanwei Zhou

80 papers receiving 836 citations

Peers

Yanwei Zhou
Comparison fields: 5 of 67
  • Artificial Intelligence 400
  • Computer Networks and Communications 274
  • Information Systems 209
  • Plant Science 170
  • Computer Vision and Pattern Recognition 70
Replace Lun Wang with:
Lun Wang China
Jörg Kienzle Canada
Stojan Denic United States
S.C. Kothari United States
Wenbo Mao China
S. Srinivasan India
Masato Uchida Japan
Shengcai Liu China
Yajun Yang China
Yanwei Zhou relative to Lun Wang China Lun Wang's profile →
Citations per field
00.5×7.4×
Lun Wang · 1×
Citations per year

Countries citing papers authored by Yanwei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yanwei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201546
3 202136
4 201532
5 202331
6 201629
7 202327
8 202225
9 201125
10 202323
11 201622
12 201822
13 201722
14 202221
15 202219
16 201719
17 202119
18 201618
19 202318
20 201718

About Yanwei Zhou

Yanwei Zhou is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Molecular Biology and Plant Science, having authored 95 papers that have together received 850 indexed citations. Recurring topics across this work include Cryptography and Data Security (57 papers), Cryptographic Implementations and Security (32 papers), Advanced Authentication Protocols Security (19 papers), Privacy-Preserving Technologies in Data (16 papers), Coding theory and cryptography (11 papers), Plant biochemistry and biosynthesis (8 papers), Genomics and Phylogenetic Studies (8 papers) and Natural product bioactivities and synthesis (7 papers). The work is most often cited by research in Artificial Intelligence (400 citations), Computer Networks and Communications (274 citations), Information Systems (209 citations), Plant Science (170 citations) and Computer Vision and Pattern Recognition (70 citations). Yanwei Zhou has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Bo Yang, Mingwu Zhang, Zirui Qiao, Zhe Xia, Yi Mu, Jisen Shi, Jinhui Chen, Wenzheng Zhang, Tielong Cheng and Tao Wang. Their work appears in journals such as IEEE Internet of Things Journal, The Computer Journal, IEEE Systems Journal, Theoretical Computer Science and HortScience.

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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