Chunshan Xu

674 citations
15 papers · 373 indexed · h-index 7
Topics
Natural Language Processing Techniques (6 papers)Language and cultural evolution (5 papers)Syntax, Semantics, Linguistic Variation (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Chunshan Xu

14 papers receiving 360 citations

Peers

Chunshan Xu
Comparison fields: 5 of 66
  • Artificial Intelligence 215
  • Cognitive Neuroscience 78
  • Developmental and Educational Psychology 67
  • Language and Linguistics 66
  • Cultural Studies 49
Replace Katrien Beuls with:
Katrien Beuls Belgium
Kay Livesay United States
Marc Tomlinson United States
Justine Kao United States
Jean Fox Tree United States
Volker Gast Germany
Jan van Kuppevelt Netherlands
Abhilasha Ashok Kumar United States
Thomas Eckart Germany
Martin Hackl United States
Chunshan Xu relative to Katrien Beuls Belgium Katrien Beuls's profile →
Citations per field
00.5×6.5×
Katrien Beuls · 1×
Citations per year

Countries citing papers authored by Chunshan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Chunshan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunshan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Chunshan Xu. A scholar is included among the top collaborators of Chunshan Xu 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 Chunshan Xu. Chunshan Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 29
2 22
3 4
4 4
5 0
6 189
7 27
8
Dependency length minimization: Puzzles and Promises.
4
9 5
10 2
11 2
12 1
13 34
14 39
15 11

About Chunshan Xu

Chunshan Xu is a scholar working on Cultural Studies, Language and Linguistics and Artificial Intelligence, having authored 15 papers that have together received 373 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Language and cultural evolution (5 papers) and Syntax, Semantics, Linguistic Variation (3 papers). The work is most often cited by research in Artificial Intelligence (215 citations), Language and Linguistics (66 citations) and Cultural Studies (49 citations). Chunshan Xu has collaborated with scholars based in China and United States. Frequent co-authors include Haitao Liu, Junying Liang, Jing Chen, Xinyu Jia, Qingyu Li, Xiaotian Kong, Jiale Xu, Yi Ding, Yi Ding and Bin Chen. Their work appears in journals such as Journal of Alloys and Compounds, Physica A Statistical Mechanics and its Applications and Europhysics Letters (EPL).

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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