Zhuoling Li

786 total citations
19 papers, 515 citations indexed

About

Zhuoling Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Zhuoling Li has authored 19 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Zhuoling Li's work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Computational Techniques and Applications (3 papers). Zhuoling Li is often cited by papers focused on Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Computational Techniques and Applications (3 papers). Zhuoling Li collaborates with scholars based in China, Hong Kong and Singapore. Zhuoling Li's co-authors include En Yu, Shoudong Han, Hongwei Wang, Haoqian Wang, Zhigang Zeng, Xiang Hu, Shiping Wen, Pan Zhou, Minghui Dong and Haohan Wang and has published in prestigious journals such as IEEE Transactions on Power Systems, Neurocomputing and Frontiers in Neuroscience.

In The Last Decade

Zhuoling Li

15 papers receiving 504 citations

Peers

Zhuoling Li
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 299
  • Electrical and Electronic Engineering 112
  • Artificial Intelligence 101
  • Aerospace Engineering 68
  • Industrial and Manufacturing Engineering 63
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Citations per field, relative to Zhuoling Li
Zhuoling Li · 1×
Citations per year, relative to Zhuoling Li
Zhuoling Li · 1×

Countries citing papers authored by Zhuoling Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhuoling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuoling Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoling Li. A scholar is included among the top collaborators of Zhuoling 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 Zhuoling Li. Zhuoling Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 3
5 7
6 6
7 39
8 47
9 118
10 3
11 1
12 55
13 75
14 151
15
The major indexes of examination paper analysis and evaluation system as well as some approaches to the key issues
1
16 1
17
Applications of Apriori algorithm in BBS public opinion analysis system
0
18 1
19 2

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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