Xiaochen Lian
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Software top 10%
Papers in ⓘ
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- Advanced Image and Video Retrieval Techniques 5
- Advanced Neural Network Applications 5
- Multimodal Machine Learning Applications 3
- Face and Expression Recognition 3
- Face recognition and analysis 2
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Bao‐Liang Lu (4 shared papers)Bing Li (1 shared paper)Mu Li (1 shared paper)James T. Kwok (1 shared paper)Xuezheng Liu (1 shared paper)Ming Wu (1 shared paper)Xi Wang (1 shared paper)Jian Tang (1 shared paper)
- Journals
- Neural Computing and Applications (1 paper)Neurocomputing (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)Networked Systems Design and Implementation (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaochen Lian
13 papers receiving 313 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 196
- Software 23
- Signal Processing 49
- Computer Networks and Communications 83
- Artificial Intelligence 111
Countries citing papers authored by Xiaochen Lian
This map shows the geographic impact of Xiaochen Lian'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 Xiaochen Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Lian more than expected).
Fields of papers citing papers by Xiaochen Lian
This network shows the impact of papers produced by Xiaochen Lian. 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 Xiaochen Lian. The network helps show where Xiaochen Lian may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Lian, 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 | D 3 S: debugging deployed distributed systems | 2008 | 86 |
| 2 | 2011 | 62 | |
| 3 | 2011 | 45 | |
| 4 | 2021 | 35 | |
| 5 | 2022 | 33 | |
| 6 | 2010 | 24 | |
| 7 | 2011 | 19 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 5 | |
| 10 | 2017 | 4 | |
| 11 | Video and Image Analysis Using Local Information | 2017 | 2 |
| 12 | Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents | 2018 | 1 |
| 13 | 2021 | 1 |
About Xiaochen Lian
Xiaochen Lian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computer Networks and Communications and Information Systems, having authored 13 papers that have together received 331 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (2 papers), Remote-Sensing Image Classification (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Software (23 citations), Signal Processing (49 citations), Computer Networks and Communications (83 citations) and Artificial Intelligence (111 citations). Xiaochen Lian has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bao‐Liang Lu, Bing Li, Mu Li, James T. Kwok, Xuezheng Liu, Ming Wu, Xi Wang, Jian Tang, M. Frans Kaashoek and Zheng Zhang. Their work appears in journals such as Neural Computing and Applications, Neurocomputing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Networked Systems Design and Implementation.
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.