Anna C-S Chang

1.8k citations
26 papers · 1.1k · h-index 16

Impact in

Papers in

Anna C-S Chang

26 papers receiving 969 citations

Peers

Anna C-S Chang
Comparison fields: 5 of 38
  • Developmental and Educational Psychology 841
  • Language and Linguistics 689
  • Literature and Literary Theory 204
  • Experimental and Cognitive Psychology 136
  • Artificial Intelligence 233
Replace Takumi Uchihara with:
Takumi Uchihara Japan
Ana Pellicer‐Sánchez United Kingdom
Dee Gardner United States
Gülcan Erçetin Türkiye
Diane Schmitt United Kingdom
David Beglar Japan
David D. Qian Hong Kong
Tineke Brunfaut United Kingdom
Seth Lindstromberg Belgium
Philip Durrant United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Anna C-S Chang

Since Specialization
Citations

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

Fields of papers citing papers by Anna C-S Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna C-S Chang. 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 Anna C-S Chang. The network helps show where Anna C-S Chang may publish in the future.

Co-authors

The 4 scholars most cited alongside Anna C-S Chang, 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 Anna C-S Chang Line = papers co-authored together Anna C-S Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012224
2 2014159
3 2015109
4 201384
5 201278
6 200965
7 201560
8 202048
9 201040
10
Current Practice of Extensive Reading in Asia: Teachers' Perceptions.
201734
11 201833
12 201228
13 201626
14 201319
15 201317
16 201916
17 201713
18 20138
19
Learning Vocabulary through Extensive Reading: Word Frequency Levels and L2 Learners' Vocabulary Knowledge Level.
20185
20 20195

About Anna C-S Chang

Anna C-S Chang is a scholar working on Developmental and Educational Psychology, Language and Linguistics, Artificial Intelligence, Literature and Literary Theory and Experimental and Cognitive Psychology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Second Language Acquisition and Learning (22 papers), EFL/ESL Teaching and Learning (14 papers), Reading and Literacy Development (12 papers), Text Readability and Simplification (7 papers), Second Language Learning and Teaching (5 papers), Subtitles and Audiovisual Media (3 papers), Lexicography and Language Studies (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Developmental and Educational Psychology (841 citations), Language and Linguistics (689 citations), Literature and Literary Theory (204 citations), Experimental and Cognitive Psychology (136 citations) and Artificial Intelligence (233 citations). Anna C-S Chang has collaborated with scholars based in Taiwan, New Zealand and Singapore. Frequent co-authors include Stuart Webb, Jonathan Newton, Willy A. Renandya and John Read. Their work appears in journals such as RELC Journal, System, Studies in Second Language Acquisition, Teaching English as a Second or Foreign Language--TESL-EJ and Language Teaching Research.

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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