Lize Gu

792 citations
72 papers · 585 · h-index 13

Impact in

Papers in

Lize Gu

67 papers receiving 560 citations

Peers

Lize Gu
Comparison fields: 5 of 48
  • Computer Networks and Communications 198
  • Information Systems 166
  • Artificial Intelligence 197
  • General Engineering 1
  • Discrete Mathematics and Combinatorics 7
Replace Elankayer Sithirasenan with:
Elankayer Sithirasenan Australia
Jeong Hyun Yi South Korea
Faraz Ahmed United States
Helena Rifà-Pous Spain
Tianqing Zhu China
Wenbin Yao China
Elena Vladimirovna Doynikova Russia
Makoto Amamiya Japan
Barry V. W. Irwin South Africa
Yali Gao China
Lize Gu relative to Elankayer Sithirasenan Australia Elankayer Sithirasenan's profile →
Citations per field
00.5×2×4×6.5×
Elankayer Sithirasenan · 1×
Citations per year

Countries citing papers authored by Lize Gu

Since Specialization
Citations

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

Fields of papers citing papers by Lize Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014114
2 201951
3 202144
4 202137
5 201321
6 202117
7 201415
8 201314
9 202414
10 201813
11 201913
12 202013
13 202313
14 201412
15 202012
16 201911
17 201810
18 20139
19 20139
20 20108

About Lize Gu

Lize Gu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 72 papers that have together received 585 indexed citations. Recurring topics across this work include Cryptography and Data Security (31 papers), Advanced Authentication Protocols Security (6 papers), Network Security and Intrusion Detection (5 papers), Quantum Information and Cryptography (5 papers), Advanced Neural Network Applications (5 papers), Blockchain Technology Applications and Security (5 papers), Access Control and Trust (3 papers) and Cybersecurity and Information Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (198 citations), Information Systems (166 citations), Artificial Intelligence (197 citations), General Engineering (1 citation) and Discrete Mathematics and Combinatorics (7 citations). Lize Gu has collaborated with scholars based in China and Japan. Frequent co-authors include Bin Sun, Jingpei Wang, Licheng Wang, Shihui Zheng, Yixian Yang, Yuhang Sun, Huijun Zhu, Xiaoning Zhu, Kaoru Ota and Mianxiong Dong. Their work appears in journals such as IEEE Access, Sensors, IEEE Transactions on Information Forensics and Security, IEEE Internet of Things Journal and Applied 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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