Bin Shen

803 citations
28 papers · 550 · h-index 12

Impact in

Papers in

Bin Shen

26 papers receiving 534 citations

Peers

Bin Shen
Comparison fields: 5 of 73
  • Developmental and Educational Psychology 207
  • Language and Linguistics 166
  • Education 222
  • Literature and Literary Theory 75
  • Experimental and Cognitive Psychology 83
Replace Lixun Wang with:
Lixun Wang Hong Kong
Teresa Crawford United States
Phil Scott United Kingdom
Neil Mercer United States
Jane Arnold United Kingdom
Din Yan Yip Hong Kong
Catherine Chen United States
Yaqiong Cui China
Jaume Ametller Spain
Bin Shen relative to Lixun Wang Hong Kong Lixun Wang's profile →
Citations per field
00.5×2.8×
Lixun Wang · 1×
Citations per year

Countries citing papers authored by Bin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Bin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 201978
3 202059
4 202247
5 202335
6 201928
7 201124
8 202024
9 202423
10 202120
11 200813
12 202212
13 201911
14 202210
15 20239
16 20249
17 20238
18 20248
19 20248
20 20246

About Bin Shen

Bin Shen is a scholar working on Language and Linguistics, Developmental and Educational Psychology, Education, Literature and Literary Theory and Experimental and Cognitive Psychology, having authored 28 papers that have together received 550 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (15 papers), Innovative Teaching and Learning Methods (10 papers), Second Language Learning and Teaching (6 papers), Educational and Psychological Assessments (4 papers), Writing and Handwriting Education (4 papers), Student Assessment and Feedback (4 papers), Education, Achievement, and Giftedness (3 papers) and Emotional Intelligence and Performance (2 papers). The work is most often cited by research in Developmental and Educational Psychology (207 citations), Language and Linguistics (166 citations), Education (222 citations), Literature and Literary Theory (75 citations) and Experimental and Cognitive Psychology (83 citations). Bin Shen has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Barry Bai, Yabing Wang, Xiaoxiao Yu, Hong Mei, Yang Yang, Jing Wang, Moonyoung Park, Dawei Li, Pin Dong and Shang Gao. Their work appears in journals such as System, Language Teaching Research, International Journal of Applied Linguistics, The Asia-Pacific Education Researcher and Studies In Educational Evaluation.

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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