Xiaohan Lan
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Semantic Web and Ontologies
Papers in
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- Multimodal Machine Learning Applications 6
- Video Analysis and Summarization 4
- Human Pose and Action Recognition 4
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- Topic Modeling 2
- Domain Adaptation and Few-Shot Learning 2
- Advanced Graph Neural Networks 1
- Co-authors
- Zhichun Wang (1 shared paper)Yu Zhang (1 shared paper)Qingsong Lv (1 shared paper)Wenwu Zhu (6 shared papers)Xin Wang (4 shared papers)Yitian Yuan (3 shared papers)Zhi Wang (3 shared papers)Hong Chen (3 shared papers)
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (2 papers)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaohan Lan
7 papers receiving 412 citations
Xiaohan Lan's Hit Papers
Peers
Comparison fields: 5 of 41
- Management Science and Operations Research 185
- Artificial Intelligence 372
- Computer Vision and Pattern Recognition 104
- Statistical and Nonlinear Physics 22
- Signal Processing 12
Countries citing papers authored by Xiaohan Lan
This map shows the geographic impact of Xiaohan Lan'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 Xiaohan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Lan more than expected).
Fields of papers citing papers by Xiaohan Lan
This network shows the impact of papers produced by Xiaohan Lan. 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 Xiaohan Lan. The network helps show where Xiaohan Lan may publish in the future.
Co-authors
The 14 scholars most cited alongside Xiaohan Lan, 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 | Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks Hit paper breakdown → | 2018 | 353 |
| 2 | 2022 | 29 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 12 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 3 |
About Xiaohan Lan
Xiaohan Lan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing and Infectious Diseases, having authored 7 papers that have together received 424 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Video Analysis and Summarization (4 papers), Human Pose and Action Recognition (4 papers), Topic Modeling (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Graph Neural Networks (1 paper), Bioinformatics and Genomic Networks (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Management Science and Operations Research (185 citations), Artificial Intelligence (372 citations), Computer Vision and Pattern Recognition (104 citations), Statistical and Nonlinear Physics (22 citations) and Signal Processing (12 citations). Xiaohan Lan has collaborated with scholars based in China and United States. Frequent co-authors include Zhichun Wang, Yu Zhang, Qingsong Lv, Wenwu Zhu, Xin Wang, Yitian Yuan, Zhi Wang, Hong Chen, Zequn Jie and Long Chen. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, Proceedings of the 30th ACM International Conference on Multimedia and Proceedings of the AAAI Conference on Artificial Intelligence.
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.