Tan Jin

1.9k citations
97 papers · 1.1k · h-index 19

Impact in

Papers in

Tan Jin

84 papers receiving 1.0k citations

Peers

Tan Jin
Comparison fields: 5 of 139
  • Developmental and Educational Psychology 183
  • Computer Science Applications 79
  • Literature and Literary Theory 107
  • Language and Linguistics 99
  • Statistical and Nonlinear Physics 115
Replace Mihai Dascălu with:
Mihai Dascălu Romania
Erin Bradner United States
Chi-Jen Lin Taiwan
Thomas Roche Australia
Khurshid Ahmad United Kingdom
Marco Furini Italy
Norjihan Abdul Ghani Malaysia
Mei‐Rong Alice Chen Taiwan
Wendy G. Lehnert United States
Anders I. Mørch Norway
Tan Jin relative to Mihai Dascălu Romania Mihai Dascălu's profile →
Citations per field
00.5×1.5×2.4×
Mihai Dascălu · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 201068
3 201760
4 201554
5 201645
6 202141
7 202441
8 202040
9 202339
10 202438
11 202033
12 202128
13 202228
14 201723
15 202222
16 201522
17 202521
18 201219
19 202218
20 202118

About Tan Jin

Tan Jin is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Electrical and Electronic Engineering, Literature and Literary Theory and Education, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Text Readability and Simplification (10 papers), Innovative Teaching and Learning Methods (10 papers), Second Language Acquisition and Learning (9 papers), Discourse Analysis in Language Studies (9 papers), Educational Strategies and Epistemologies (6 papers), Complex Network Analysis Techniques (5 papers), Second Language Learning and Teaching (5 papers) and Advanced Battery Materials and Technologies (5 papers). The work is most often cited by research in Developmental and Educational Psychology (183 citations), Computer Science Applications (79 citations), Literature and Literary Theory (107 citations), Language and Linguistics (99 citations) and Statistical and Nonlinear Physics (115 citations). Tan Jin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaofei Lu, Rong-Hua Li, Chun Lai, Jeffrey Xu Yu, Rui Mao, Baichuan Li, Mingyue Gu, Jun Lei, Michael R. Lyu and Irwin King. Their work appears in journals such as TESOL Quarterly, Language learning & technology, International Journal of Applied Linguistics, Journal of English for Academic Purposes and IEEE Transactions on Smart Grid.

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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