Jianguo Li

5.8k citations
68 papers · 1.4k indexed · 1 hit paper · h-index 18
Topics
Advanced Image and Video Retrieval Techniques (19 papers)Advanced Neural Network Applications (14 papers)Domain Adaptation and Few-Shot Learning (10 papers)

In The Last Decade

Jianguo Li

57 papers receiving 1.4k citations

Hit Papers

DSOD: Learning Deeply Supervised Object Detectors from Sc...20172026202020232017100200300400

Peers

Jianguo Li
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 477
  • Media Technology 111
  • Aerospace Engineering 109
  • Computer Networks and Communications 84
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Citations per field
00.5×3.9×
Liyan Zhang · 1×
Citations per year

Countries citing papers authored by Jianguo Li

Since Specialization
Citations

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

Fields of papers citing papers by Jianguo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianguo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jianguo Li. A scholar is included among the top collaborators of Jianguo 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 Jianguo Li. Jianguo 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
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 1
6 1
7 18
8 3
9 28
10 26
11 0
12 1
13
Knowledge Distillation from Few Samples
5
14
Network Decoupling: From Regular to Depthwise Separable Convolutions.
6
15
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
33
16
DSOD: Learning Deeply Supervised Object Detectors from Scratchbreakdown →
429
17 9
18
Analysis of Geological Features and Ore Perspective for Wushan Copper-Sulfur Deposit in Jiurui Mineralization District
1
19
A Heuristic Algorithm of Attribute Reduction for Decision Table Based on Discernibility Matrix
0
20 2

About Jianguo Li

Jianguo Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Advanced Neural Network Applications (14 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (477 citations) and Media Technology (111 citations). Jianguo Li has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Zhuang Liu, Yu–Gang Jiang, Yurong Chen, Xiangyang Xue, Zhiqiang Shen, Weiyao Lin, John See, Di You, Changshui Zhang and Martin Griss. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Artificial Intelligence.

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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