Sha Li

1.1k citations
49 papers · 676 · h-index 11

Impact in

Papers in

Sha Li

39 papers receiving 640 citations

Peers

Sha Li
Comparison fields: 5 of 81
  • Developmental and Educational Psychology 205
  • Information Systems 249
  • Human-Computer Interaction 45
  • Artificial Intelligence 232
  • Computer Science Applications 38
Replace Ewa Golonka with:
Ewa Golonka United States
Gilbert Dizon Japan
Hui-Wen Huang China
Yusuke Hayashi Japan
Walcir Cardoso Canada
Xianmin Yang China
Claudia Roda France
Matthew E. Jacovina United States
Lu‐Ho Hsia Taiwan
Mariëlle Leijten Belgium
Sha Li relative to Ewa Golonka United States Ewa Golonka's profile →
Citations per field
00.5×1.6×
Ewa Golonka · 1×
Citations per year

Countries citing papers authored by Sha Li

Since Specialization
Citations

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

Fields of papers citing papers by Sha Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021161
2 2011152
3 2011112
4 201629
5 202224
6 201820
7 201819
8 202014
9
An application of social network analysis to knowledge building
200313
10 201913
11 201911
12 202110
13 202210
14 20228
15
A visualization of group cognition: semantic network analysis of a CSCL community
20108
16 20237
17 20147
18 20256
19 20225
20 20185

About Sha Li

Sha Li is a scholar working on Developmental and Educational Psychology, Artificial Intelligence, Cognitive Neuroscience, Information Systems and Experimental and Cognitive Psychology, having authored 49 papers that have together received 676 indexed citations. Recurring topics across this work include Reading and Literacy Development (11 papers), Innovative Teaching and Learning Methods (7 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers), Neurobiology of Language and Bilingualism (4 papers), Advanced Computational Techniques and Applications (4 papers), Semantic Web and Ontologies (3 papers) and Mobile Learning in Education (3 papers). The work is most often cited by research in Developmental and Educational Psychology (205 citations), Information Systems (249 citations), Human-Computer Interaction (45 citations), Artificial Intelligence (232 citations) and Computer Science Applications (38 citations). Sha Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Heng Ji, Wenli Chen, Jiawei Han, Bingsheng Zhang, Chee‐Kit Looi, Lung Hsiang Wong, PETER SEN KEE SEOW, Jingxin Wang, Kevin B. Paterson and Victoria A. McGowan. Their work appears in journals such as Psychology and Aging, Frontiers in Psychology, Atmospheric Environment, System and Journal of Computer Assisted Learning.

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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