Shasha Xie
- Artificial Intelligence top 5%
- Information Systems
- Signal Processing
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Yang LiuHui LinKeelan EvaniniKlaus ZechnerJeff BilmesBenoît FavreDilek Hakkani‐TürSu‐Youn Yoon
- Topics
- Natural Language Processing Techniques (14 papers)Topic Modeling (13 papers)Speech and dialogue systems (8 papers)
- Journals
- Journal of Medical Internet ResearchIEEE Transactions on Audio Speech and Language ProcessingJMIR mhealth and uhealth
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shasha Xie
19 papers receiving 336 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 344
- Information Systems 40
- Signal Processing 37
- Computer Vision and Pattern Recognition 25
- Computational Theory and Mathematics 15
Countries citing papers authored by Shasha Xie
This map shows the geographic impact of Shasha Xie'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 Shasha Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shasha Xie more than expected).
Fields of papers citing papers by Shasha Xie
This network shows the impact of papers produced by Shasha Xie. 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 Shasha Xie. The network helps show where Shasha Xie may publish in the future.
Co-authorship network of co-authors of Shasha Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Xie. A scholar is included among the top collaborators of Shasha Xie 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 Shasha Xie. Shasha Xie 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 | 10 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | Evaluating Unsupervised Language Model Adaptation Methods for Speaking Assessment | 2 |
| 7 | Prompt-based Content Scoring for Automated Spoken Language Assessment | 11 |
| 8 | 1 | |
| 9 | Exploring Content Features for Automated Speech Scoring | 48 |
| 10 | Learning Lexicon Models from Search Logs for Query Expansion | 21 |
| 11 | Using Confusion Networks for Speech Summarization | 15 |
| 12 | 12 | |
| 13 | 20 | |
| 14 | 10 | |
| 15 | 49 | |
| 16 | 33 | |
| 17 | 32 | |
| 18 | 32 | |
| 19 | 47 | |
| 20 | 10 |
About Shasha Xie
Shasha Xie is a scholar working on Health Informatics, Artificial Intelligence and Nephrology, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (344 citations), Signal Processing (37 citations) and Information Systems (40 citations). Shasha Xie has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yang Liu, Yang Liu, Hui Lin, Keelan Evanini, Klaus Zechner, Yang Liu, Jeff Bilmes, Benoît Favre, Dilek Hakkani‐Tür and Su‐Youn Yoon. Their work appears in journals such as Journal of Medical Internet Research, IEEE Transactions on Audio Speech and Language Processing and JMIR mhealth and uhealth.
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.