Jinlan‎ Tang

428 citations
16 papers · 267 · h-index 8

Impact in

Papers in

Jinlan‎ Tang

14 papers receiving 246 citations

Peers

Jinlan‎ Tang
Comparison fields: 5 of 32
  • Language and Linguistics 134
  • Literature and Literary Theory 120
  • Linguistics and Language 40
  • Developmental and Educational Psychology 101
  • Education 95
Replace Eid Alhaisoni with:
Eid Alhaisoni Saudi Arabia
Michael Lessard‐Clouston Japan
Ann Barnes United Kingdom
Spiros Papageorgiou United States
Vilson J. Leffa Brazil
Estela Ene United States
Ana Cristina Lahuerta Martı́nez Spain
Oqlah Smadi Jordan
Phuong Dzung Pho Vietnam
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Citations per field
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Citations per year

Countries citing papers authored by Jinlan‎ Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jinlan‎ Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Jinlan‎ Tang, 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 Jinlan‎ Tang Line = papers co-authored together Jinlan‎ Tang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Using the L1 in the English Classroom.
200290
2 202149
3 201738
4 201025
5 201820
6 201712
7 20219
8 20128
9 20176
10 20123
11
Impact of Integrating an Automated Assessment Tool into English Writing on University Teachers
20122
12
Study on the Application of Automated Writing Assessment System in College EFL Teaching
20122
13 20241
14 20241
15 20001
16 20250

About Jinlan‎ Tang

Jinlan‎ Tang is a scholar working on Education, Language and Linguistics, Information Systems, Literature and Literary Theory and Artificial Intelligence, having authored 16 papers that have together received 267 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (7 papers), Second Language Learning and Teaching (5 papers), Student Assessment and Feedback (4 papers), Mobile Learning in Education (3 papers), Educational Technology and Assessment (3 papers), Second Language Acquisition and Learning (2 papers), Natural Language Processing Techniques (2 papers) and Education and Technology Integration (2 papers). The work is most often cited by research in Language and Linguistics (134 citations), Literature and Literary Theory (120 citations), Linguistics and Language (40 citations), Developmental and Educational Psychology (101 citations) and Education (95 citations). Jinlan‎ Tang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Qing Ma, Colin Harrison, Kan Qian, Na Wang, Bin Zou, Agnes Kukulska‐Hulme and Yuming Zhai. Their work appears in journals such as International Journal of Computer-Assisted Language Learning and Teaching, Chinese Journal of Applied Linguistics, The JALT CALL Journal, OncoTargets and Therapy and The Forum.

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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