Guangli Li

604 total citations
52 papers, 325 citations indexed

About

Guangli Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Guangli Li has authored 52 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Guangli Li's work include Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Machine Learning and ELM (5 papers). Guangli Li is often cited by papers focused on Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Machine Learning and ELM (5 papers). Guangli Li collaborates with scholars based in China, Australia and United States. Guangli Li's co-authors include Hongbin Zhang, Xiaobing Feng, Xueying Wang, Lei Liu, Xiu Ma, Jingling Xue, Jiansong Li, Donghong Ji, Hua Jin and Zheng-Yu Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Guangli Li

43 papers receiving 308 citations

Peers

Guangli Li
Comparison fields: 5 of 64
  • Artificial Intelligence 175
  • Computer Vision and Pattern Recognition 150
  • Information Systems 56
  • Computer Networks and Communications 45
  • Radiology, Nuclear Medicine and Imaging 40
Replace M. A. Rizvi with:
M. A. Rizvi India
Yanpeng Qu China
Changlong Li China
Sung Y. Shin United States
Jiawen Wang China
Xupeng Miao China
Prerna Mahajan India
Abbas Vafaei Iran
M. A. Rizvi India View profile →
Citations per field, relative to Guangli Li
Guangli Li · 1×
Citations per year, relative to Guangli Li
Guangli Li · 1×

Countries citing papers authored by Guangli Li

Since Specialization
Citations

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

Fields of papers citing papers by Guangli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangli Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guangli Li. A scholar is included among the top collaborators of Guangli Li 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 Guangli Li. Guangli Li 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 6
4 7
5 0
6 5
7 0
8 0
9 2
10 38
11 10
12 9
13 31
14
Recommendation System Based on Users ’ Preference Mining Generative Adversarial Networks
1
15 8
16 1
17 1
18 2
19 1
20
The Research Based on Digital Library of Cloud Computing
0

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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