Yajuan Lyu
- Artificial Intelligence top 1%
- Topic Modeling 25
- Natural Language Processing Techniques 22
- Advanced Text Analysis Techniques 5
- Advanced Graph Neural Networks 5
- Domain Adaptation and Few-Shot Learning 5
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- Multimodal Machine Learning Applications 11
- Human Pose and Action Recognition 3
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- Data Quality and Management 4
- Information Systems top 5%
- Co-authors
- Quan WangXinyan XiaoYong ZhuHaifeng WangQiaoqiao SheWei HeJing LiuHua Wu
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- Scientific Reports (1 paper)Journal of Artificial Intelligence Research (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)
- Partner nations
- China
In The Last Decade
Yajuan Lyu
28 papers receiving 878 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 865
- Computer Vision and Pattern Recognition 226
- Management Science and Operations Research 71
- Information Systems 124
- Health Informatics 5
Countries citing papers authored by Yajuan Lyu
This map shows the geographic impact of Yajuan Lyu'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 Yajuan Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajuan Lyu more than expected).
Fields of papers citing papers by Yajuan Lyu
This network shows the impact of papers produced by Yajuan Lyu. 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 Yajuan Lyu. The network helps show where Yajuan Lyu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yajuan Lyu, 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 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 23 | |
| 12 | 2020 | 95 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 0 | |
| 15 | 2019 | 80 | |
| 16 | 2018 | 104 | |
| 17 | 2018 | 38 | |
| 18 | 2018 | 23 | |
| 19 | 2018 | 25 | |
| 20 | 2018 | 127 |
About Yajuan Lyu
Yajuan Lyu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 32 papers that have together received 917 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (22 papers), Multimodal Machine Learning Applications (11 papers), Advanced Text Analysis Techniques (5 papers), Advanced Graph Neural Networks (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Data Quality and Management (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Artificial Intelligence (865 citations), Computer Vision and Pattern Recognition (226 citations) and Management Science and Operations Research (71 citations). Yajuan Lyu has collaborated with scholars based in China. Frequent co-authors include Quan Wang, Xinyan Xiao, Yong Zhu, Haifeng Wang, Qiaoqiao She, Wei He, Jing Liu, Hua Wu, Sujian Li and Zhendong Mao. Their work appears in journals such as Scientific Reports, Journal of Artificial Intelligence Research and Proceedings of the 30th ACM International Conference on Multimedia.
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.