Long Chen
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- Multimodal Machine Learning Applications 41
- Human Pose and Action Recognition 20
- Advanced Image and Video Retrieval Techniques 14
- Video Analysis and Summarization 12
- Advanced Neural Network Applications 8
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning 32
- Topic Modeling 29
- Natural Language Processing Techniques 11
- Finance top 2%
- Media Technology top 1%
- Accounting top 5%
- Co-authors
- Jun XiaoHanwang ZhangWei LiuJian ShaoTat‐Seng ChuaLiqiang NiePierre Collin‐DufresneRobert S. Goldstein
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)IEEE Transactions on Image Processing (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Long Chen
155 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Vision and Pattern Recognition 2.7k
- Artificial Intelligence 1.9k
- Finance 462
- Media Technology 254
- Accounting 261
Countries citing papers authored by Long Chen
This map shows the geographic impact of Long Chen'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 Long Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Chen more than expected).
Fields of papers citing papers by Long Chen
This network shows the impact of papers produced by Long Chen. 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 Long Chen. The network helps show where Long Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Long Chen, 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 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 3 | |
| 14 | CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attentionbreakdown → | 2023 | 157 |
| 15 | 2023 | 14 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 30 | |
| 18 | Trading personalization for accuracy: Data debugging in collaborative filtering | 2020 | 4 |
| 19 | 2019 | 86 | |
| 20 | 2014 | 117 |
About Long Chen
Long Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 185 papers that have together received 5.4k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (41 papers), Domain Adaptation and Few-Shot Learning (32 papers), Topic Modeling (29 papers), Human Pose and Action Recognition (20 papers), Advanced Image and Video Retrieval Techniques (14 papers), Video Analysis and Summarization (12 papers), Natural Language Processing Techniques (11 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Artificial Intelligence (1.9k citations) and Finance (462 citations). Long Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Xiao, Hanwang Zhang, Wei Liu, Jian Shao, Tat‐Seng Chua, Liqiang Nie, Pierre Collin‐Dufresne, Robert S. Goldstein, Xinlei Zhao and Yueting Zhuang. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, International Journal of Computer Vision and Neural Computing and Applications.
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.