Xin Xie

529 citations
21 papers · 346 indexed · h-index 11

Xin Xie

21 papers receiving 331 citations

Peers

Xin Xie
Comparison fields: 5 of 50
  • Linguistics and Language 151
  • Experimental and Cognitive Psychology 273
  • Signal Processing 92
  • Cognitive Neuroscience 144
  • Developmental and Educational Psychology 62
Replace Travis Wade with:
Travis Wade United States
Henning Reetz Germany
Emmanuel Ferragne France
Jessamyn Schertz Canada
Katerina Nicolaidis Greece
Yen-Chen Hao United States
Eun Jong Kong South Korea
Juli Cebrian Spain
Peggy Mok Hong Kong
Barbara Schuppler Germany
Xin Xie relative to Travis Wade United States Travis Wade's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xin Xie

Since Specialization
Citations

This map shows the geographic impact of Xin 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 Xin Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Xie more than expected).

Fields of papers citing papers by Xin Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin 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 Xin Xie. The network helps show where Xin Xie may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Xin 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 Xin Xie Line = papers co-authored together Xin Xie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20245
3 20242
4 202318
5 202121
6 20213
7 202122
8 20215
9 202014
10 20191
11 201843
12 201740
13 201727
14 201723
15 201634
16 20162
17
General Language Ability Predicts Talker Identification.
20155
18 201533
19 20141
20 201344

About Xin Xie

Xin Xie is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology, Signal Processing, Cognitive Neuroscience and Artificial Intelligence, having authored 21 papers that have together received 346 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (18 papers), Linguistic Variation and Morphology (10 papers), Speech Recognition and Synthesis (7 papers), Neuroscience and Music Perception (5 papers), Speech and Audio Processing (3 papers), Speech and dialogue systems (3 papers), Language Development and Disorders (3 papers) and Hearing Loss and Rehabilitation (2 papers). The work is most often cited by research in Linguistics and Language (151 citations), Experimental and Cognitive Psychology (273 citations), Signal Processing (92 citations), Cognitive Neuroscience (144 citations) and Developmental and Educational Psychology (62 citations). Xin Xie has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Emily B. Myers, Carol A. Fowler, T. Florian Jaeger, Chigusa Kurumada, Linda Liu, Rachel M. Theodore, F. Sayako Earle, T. Florian Jaeger, Kodi Weatherholtz and Rong Wang. Their work appears in journals such as The Journal of the Acoustical Society of America, Frontiers in Psychology, Cortex, Journal of Memory and Language and Language Cognition and Neuroscience.

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.

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