Hongyang Li

3.3k citations
25 papers · 1.0k indexed · h-index 14
Topics
Advanced Neural Network Applications (17 papers)Domain Adaptation and Few-Shot Learning (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)
Partner nations
ChinaHong KongAustralia

In The Last Decade

Hongyang Li

22 papers receiving 997 citations

Peers

Hongyang Li
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 806
  • Artificial Intelligence 374
  • Aerospace Engineering 126
  • Media Technology 90
  • Sensory Systems 82
Replace Keze Wang with:
Keze Wang China
Yu-Huan Wu China
Chi Su China
Thanh-Toan Do Australia
Tianshui Chen China
Jae-Yeal Nam South Korea
Yu Zeng China
Mei-Chen Yeh Taiwan
Seunghoon Hong South Korea
Hongyang Li relative to Keze Wang China Keze Wang's profile →
Citations per field
00.5×
Keze Wang · 1×
Citations per year

Countries citing papers authored by Hongyang Li

Since Specialization
Citations

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

Fields of papers citing papers by Hongyang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyang Li. A scholar is included among the top collaborators of Hongyang 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 Hongyang Li. Hongyang 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 16
2 0
3 6
4 61
5 9
6 13
7 0
8 19
9 29
10
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding.
1
11 34
12
Feature Intertwiner for Object Detection.
6
13 242
14 64
15 4
16 63
17 71
18 132
19 157
20 15

About Hongyang Li

Hongyang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (806 citations), Sensory Systems (82 citations) and Artificial Intelligence (374 citations). Hongyang Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Xiaogang Wang, Huchuan Lu, David Eigen, Samuel Dodge, Matthew D. Zeiler, Xiaohui Shen, Zhe Lin, Brian Price, Wanli Ouyang and Junjie Yan. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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