Sha Li

1.0k total citations
42 papers, 549 citations indexed

About

Sha Li is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Sha Li has authored 42 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Developmental and Educational Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Sha Li's work include Reading and Literacy Development (10 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Sha Li is often cited by papers focused on Reading and Literacy Development (10 papers), Topic Modeling (7 papers) and Natural Language Processing Techniques (7 papers). Sha Li collaborates with scholars based in China, United States and United Kingdom. Sha Li's co-authors include Heng Ji, Wenli Chen, Jiawei Han, Chee‐Kit Looi, Lung Hsiang Wong, Peter Seow, Kevin B. Paterson, Jingxin Wang, Victoria A. McGowan and Fang Xie and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and Journal of Environmental Management.

In The Last Decade

Sha Li

34 papers receiving 521 citations

Peers

Sha Li
Comparison fields: 5 of 72
  • Information Systems 205
  • Artificial Intelligence 194
  • Developmental and Educational Psychology 179
  • Education 121
  • Sociology and Political Science 81
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Scott McQuiggan United States View profile →
Citations per field, relative to Sha Li
Sha Li · 1×
Citations per year, relative to Sha Li
Sha Li · 1×

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-authorship network of co-authors of Sha Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Li. A scholar is included among the top collaborators of Sha Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sha Li. Sha Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 1
5 1
6 4
7 1
8 0
9 3
10 5
11 134
12 11
13
A visualization of group cognition: semantic network analysis of a CSCL community
6
14
Research on Fast Volume Rendering of Medical Image with Large Volume Data
1
15
Construction of the Network Based on VLC Live Television System
0
16
Ocean color metadata and system design
1
17
Application of fuzzy Petri nets in hydraulic synchronizing system fault diagnosis
4
18
A Study of the Application of Neutral Tone in Mandarin from the Perspective of Linguistics
0
19
Design and realization of data management and publication system for oceanologic database of South China Sea
2
20 1

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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