Guangchun Luo

2.9k citations
95 papers · 2.1k indexed · 2 hit papers · h-index 21
Topics
Privacy-Preserving Technologies in Data (13 papers)Advanced Graph Neural Networks (11 papers)Topic Modeling (10 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Guangchun Luo

86 papers receiving 2.0k citations

Hit Papers

An image encryption scheme based on chaotic tent map201120262016202120162011100200300

Peers

Guangchun Luo
Comparison fields: 5 of 126
  • Artificial Intelligence 767
  • Computer Vision and Pattern Recognition 624
  • Information Systems 579
  • Software 377
  • Computer Networks and Communications 285
Replace Dafang Zhang with:
Dafang Zhang China
Liqiang Wang United States
Greg Hamerly United States
B. John Oommen Canada
Ke Qin China
Yuanyan Tang China
Zhenhua Li China
Xiao Chen China
Anthony Bagnall United Kingdom
Yanping Chen China
Guangchun Luo relative to Dafang Zhang China Dafang Zhang's profile →
Citations per field
00.5×5.0×
Dafang Zhang · 1×
Citations per year

Countries citing papers authored by Guangchun Luo

Since Specialization
Citations

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

Fields of papers citing papers by Guangchun Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangchun Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Guangchun Luo. A scholar is included among the top collaborators of Guangchun Luo 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 Guangchun Luo. Guangchun Luo 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 6
7 1
8 2
9 17
10 50
11 7
12 20
13
An Image Encryption Scheme Based on The Three-dimensional Chaotic Logistic Map.
15
14 33
15 17
16 53
17 14
18 19
19 10
20
A Novel Scheme for the Preview of the Image Encryption Based on Chaotic Ikeda Map.
4

About Guangchun Luo

Guangchun Luo is a scholar working on Software, Computer Science Applications and Artificial Intelligence, having authored 95 papers that have together received 2.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (13 papers), Advanced Graph Neural Networks (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Software (377 citations), Computer Vision and Pattern Recognition (624 citations) and Information Systems (579 citations). Guangchun Luo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ke Qin, Ying Ma, Chunbao Li, Chunhu Li, Aiguo Chen, Xue Zeng, Ling Tian, Zhipeng Cai, Junming Shao and Guangyi Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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