Shasha Xie

585 citations
20 papers · 383 indexed · h-index 12

Shasha Xie

19 papers receiving 336 citations

Peers

Shasha Xie
Comparison fields: 5 of 55
  • Artificial Intelligence 344
  • Signal Processing 37
  • Information Systems 40
  • Family Practice 3
  • Computer Vision and Pattern Recognition 25
Replace Jacob C. N. Schuldt with:
Jacob C. N. Schuldt Japan
François Dupressoir United Kingdom
Cliff Brunk United States
Richard McPherson United States
Keith Harrison United States
Bertram Poettering United Kingdom
Martin Geisler Denmark
Wilko Henecka Australia
Carlos Aguilar Melchor France
Shasha Xie relative to Jacob C. N. Schuldt Japan Jacob C. N. Schuldt's profile →
Citations per field
00.5×3.2×
Jacob C. N. Schuldt · 1×
Citations per year

Countries citing papers authored by Shasha Xie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Shasha Xie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shasha Xie Line = papers co-authored together Shasha Xie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202310
3 202215
4 20152
5 201413
6
Evaluating Unsupervised Language Model Adaptation Methods for Speaking Assessment
20132
7
Prompt-based Content Scoring for Automated Spoken Language Assessment
201311
8 20131
9
Exploring Content Features for Automated Speech Scoring
201248
10
Learning Lexicon Models from Search Logs for Query Expansion
201221
11
Using Confusion Networks for Speech Summarization
201015
12 201012
13 201020
14 201010
15 200949
16 200933
17 200932
18 200832
19 200847
20 200810

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), Speech and dialogue systems (8 papers), Speech Recognition and Synthesis (6 papers), Mobile Health and mHealth Applications (2 papers), Information Retrieval and Search Behavior (1 paper), Neural dynamics and brain function (1 paper) and Speech and Audio Processing (1 paper). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026