Yajuan Lyu
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Management Science and Operations Research top 10%
- Molecular Biology
- Co-authors
- Quan WangXinyan XiaoYong ZhuHaifeng WangQiaoqiao SheWei HeJing LiuHua Wu
- Topics
- Topic Modeling (25 papers)Natural Language Processing Techniques (22 papers)Multimodal Machine Learning Applications (11 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- Scientific ReportsJournal of Artificial Intelligence ResearchProceedings of the 30th ACM International Conference on Multimedia
- 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
- Information Systems 124
- Management Science and Operations Research 71
- Molecular Biology 64
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 of co-authors of Yajuan Lyu
This figure shows the co-authorship network connecting the top 25 collaborators of Yajuan Lyu. A scholar is included among the top collaborators of Yajuan Lyu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yajuan Lyu. Yajuan Lyu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 95 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 80 | |
| 16 | 104 | |
| 17 | 38 | |
| 18 | 23 | |
| 19 | 25 | |
| 20 | 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) and Multimodal Machine Learning Applications (11 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.