Haokun Wen
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- Multimodal Machine Learning Applications 11
- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 6
- Generative Adversarial Networks and Image Synthesis 4
- Video Analysis and Summarization 3
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- Domain Adaptation and Few-Shot Learning 3
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- Advanced battery technologies research 4
- Advanced Battery Materials and Technologies 2
Haokun Wen
19 papers receiving 285 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 77
- Museology 7
- Computational Mechanics 26
- Water Science and Technology 17
Countries citing papers authored by Haokun Wen
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
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
The 25 scholars most cited alongside Haokun Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 14 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 35 | |
| 15 | 2023 | 10 | |
| 16 | 2022 | 23 | |
| 17 | 2022 | 35 | |
| 18 | 2021 | 45 | |
| 19 | 2021 | 23 | |
| 20 | 2020 | 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), Image Retrieval and Classification Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Advanced battery technologies research (4 papers), Video Analysis and Summarization (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Battery Materials and Technologies (2 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.