Yuxian Meng
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Media Technology top 10%
- Radiology, Nuclear Medicine and Imaging
- Topics
- Topic Modeling (14 papers)Natural Language Processing Techniques (10 papers)Multimodal Machine Learning Applications (3 papers)
- Journals
- Journal of Thermal Spray TechnologyTransactions of the Association for Computational LinguisticsarXiv (Cornell University)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuxian Meng
16 papers receiving 741 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 495
- Computer Vision and Pattern Recognition 157
- Information Systems 56
- Media Technology 45
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Yuxian Meng
This map shows the geographic impact of Yuxian Meng'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 Yuxian Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxian Meng more than expected).
Fields of papers citing papers by Yuxian Meng
This network shows the impact of papers produced by Yuxian Meng. 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 Yuxian Meng. The network helps show where Yuxian Meng may publish in the future.
Co-authorship network of co-authors of Yuxian Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxian Meng. A scholar is included among the top collaborators of Yuxian Meng 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 Yuxian Meng. Yuxian Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 20 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | 118 | |
| 11 | 97 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | Dice Loss for Data-imbalanced NLP Tasksbreakdown → | 390 |
| 17 | Glyce: Glyph-vectors for Chinese Character Representations | 35 |
About Yuxian Meng
Yuxian Meng is a scholar working on Artificial Intelligence, Ecological Modeling and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 774 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Artificial Intelligence (495 citations), Computer Vision and Pattern Recognition (157 citations) and Media Technology (45 citations). Yuxian Meng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaofei Sun, Jiwei Li, Fei Wu, Xiaoya Li, Qinghong Han, Xiang Ao, Kun Kuang, Qing He, Tianwei Zhang and Zijun Sun. Their work appears in journals such as Journal of Thermal Spray Technology, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).
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.