Haokun Wen

519 citations
23 papers · 290 indexed · h-index 11
Topics
Multimodal Machine Learning Applications (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)Image Retrieval and Classification Techniques (6 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Haokun Wen

19 papers receiving 285 citations

Peers

Haokun Wen
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 176
  • Artificial Intelligence 77
  • Electrical and Electronic Engineering 49
  • Biomedical Engineering 31
  • Computational Mechanics 26
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Lu Tian China
Yujing Lin China
Yibing Li China
Nor Farahidah Za’bah Malaysia
Sanjoy Kumar Saha India
Zhongheng Li China
Ho‐Hyun Park South Korea
Xingyu Liu China
Haokun Wen relative to Lu Tian China Lu Tian's profile →
Citations per field
00.5×6.5×
Lu Tian · 1×
Citations per year

Countries citing papers authored by Haokun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Haokun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haokun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Haokun Wen. A scholar is included among the top collaborators of Haokun Wen 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 Haokun Wen. Haokun Wen 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 0
3 0
4 0
5 1
6 1
7 14
8 9
9 10
10 1
11 1
12 9
13 3
14 35
15 10
16 23
17 35
18 45
19 23
20 21

About Haokun Wen

Haokun Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electronic, Optical and Magnetic Materials, having authored 23 papers that have together received 290 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Artificial Intelligence (77 citations) and Museology (7 citations). Haokun Wen has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Xuemeng Song, Liqiang Nie, Weili Guan, Xin Yang, Xiaojun Chang, Chung‐Hsing Yeh, Yibing Zhan, Ling‐Yu Duan, Fuli Feng and Xianjing Han. Their work appears in journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence and Advanced Functional Materials.

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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