Shi‐xu

1.3k citations
32 papers · 618 · h-index 13

Impact in

Papers in

Shi‐xu

30 papers receiving 590 citations

Peers

Shi‐xu
Comparison fields: 5 of 72
  • Linguistics and Language 174
  • Communication 131
  • Language and Linguistics 194
  • Literature and Literary Theory 189
  • Gender Studies 54
Replace Jiří Nekvapil with:
Jiří Nekvapil Czechia
A Teun
Sabina Perrino United States
Wendy Leeds‐Hurwitz United States
Todd L. Sandel Macao
Innocent Chiluwa Nigeria
María Martínez Lirola Spain
Hans J. Ladegaard Hong Kong
Maureen A. Mathison United States
Per Ledin Sweden
Shi‐xu relative to Jiří Nekvapil Czechia Jiří Nekvapil's profile →
Citations per field
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Jiří Nekvapil · 1×
Citations per year

Countries citing papers authored by Shi‐xu

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi‐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 Shi‐xu. The network helps show where Shi‐xu may publish in the future.

Co-authors

The 8 scholars most cited alongside Shi‐xu, 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 Shi‐xu Line = papers co-authored together Shi‐xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009110
2 2016107
3 200595
4 201462
5 201224
6 201420
7 202318
8 202218
9 201617
10 200513
11 200712
12 200612
13 200612
14
Cultural Representations: Analyzing the Discourse about the Other
199710
15 199210
16
Relationship Between Hyperspectral Parameters and Physiological and Biochemical Indexes of Flue-Cured Tobacco Leaves
20079
17 20099
18 20129
19 20099
20 20138

About Shi‐xu

Shi‐xu is a scholar working on Literature and Literary Theory, Language and Linguistics, Linguistics and Language, Sociology and Political Science and Education, having authored 32 papers that have together received 618 indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (9 papers), Discourse Analysis in Language Studies (8 papers), Multilingual Education and Policy (8 papers), Global Education and Multiculturalism (4 papers), Language, Metaphor, and Cognition (3 papers), Global Security and Public Health (2 papers), Cultural Differences and Values (2 papers) and Hong Kong and Taiwan Politics (2 papers). The work is most often cited by research in Linguistics and Language (174 citations), Communication (131 citations), Language and Linguistics (194 citations), Literature and Literary Theory (189 citations) and Gender Studies (54 citations). Shi‐xu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include María Pardo, Manfred Kienpointner, Yu, Chunhua, LI -, Liu, Yang and Song. Their work appears in journals such as Journal of Multicultural Discourses, Culture & Psychology, Semiotica, Language in Society and Language and Intercultural Communication.

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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