Tan Jin

1.7k citations
95 papers · 1.0k · h-index 18

Impact in

Papers in

Tan Jin

83 papers receiving 976 citations

Peers

Tan Jin
Comparison fields: 5 of 142
  • Computer Science Applications 79
  • Developmental and Educational Psychology 171
  • Statistical and Nonlinear Physics 116
  • Language and Linguistics 95
  • Literature and Literary Theory 100
Replace Chi-Jen Lin with:
Chi-Jen Lin Taiwan
Marco Furini Italy
Norjihan Abdul Ghani Malaysia
Thomas Roche Australia
Gerardo Sierra Mexico
Felice Dell’Orletta⋄ Italy
Joseph F. McCarthy United States
Mei‐Rong Alice Chen Taiwan
Elaine Rich United States
Wendy G. Lehnert United States
Tan Jin relative to Chi-Jen Lin Taiwan Chi-Jen Lin's profile →
Citations per field
00.5×
Chi-Jen Lin · 1×
Citations per year

Countries citing papers authored by Tan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Tan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tan Jin, 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 Tan Jin Line = papers co-authored together Tan Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 201067
3 201760
4 201553
5 201645
6 202139
7 202435
8 202435
9 202035
10 202334
11 202031
12 202126
13 202225
14 201522
15 201721
16 202220
17 201418
18 201218
19 202216
20 201316

About Tan Jin

Tan Jin is a scholar working on Developmental and Educational Psychology, Electrical and Electronic Engineering, Artificial Intelligence, Literature and Literary Theory and Education, having authored 95 papers that have together received 1.0k indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (10 papers), Text Readability and Simplification (10 papers), Second Language Acquisition and Learning (8 papers), Discourse Analysis in Language Studies (8 papers), Educational Strategies and Epistemologies (6 papers), Advanced Battery Materials and Technologies (5 papers), Complex Network Analysis Techniques (5 papers) and Wind Turbine Control Systems (4 papers). The work is most often cited by research in Computer Science Applications (79 citations), Developmental and Educational Psychology (171 citations), Statistical and Nonlinear Physics (116 citations), Language and Linguistics (95 citations) and Literature and Literary Theory (100 citations). Tan Jin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Rong-Hua Li, Xiaofei Lu, Chun Lai, Rui Mao, Jeffrey Xu Yu, Baichuan Li, Jun Lei, Mingyue Gu, Irwin King and Michael R. Lyu. Their work appears in journals such as TESOL Quarterly, Journal of English for Academic Purposes, Language learning & technology, English for Specific Purposes and International Journal of Computer-Assisted Language Learning and Teaching.

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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