Shulan Lu

19 papers receiving 629 citations

Peers

Shulan Lu
Comparison fields: 5 of 79
  • Computer Science Applications 132
  • Developmental and Educational Psychology 270
  • Human-Computer Interaction 76
  • Occupational Therapy 47
  • Artificial Intelligence 349
Replace Sandra Baldassarri with:
Sandra Baldassarri Spain
Katerina Avramides United Kingdom
Ecenaz Alemdağ Türkiye
Gaoxia Zhu Singapore
Jewoong Moon United States
Barbara Arfé Italy
Nuno Otero Sweden
Iris Howley United States
Jiawen Zhu China
Danielle Bragg United States
Shulan Lu relative to Sandra Baldassarri Spain Sandra Baldassarri's profile →
Citations per field
00.5×4.8×
Sandra Baldassarri · 1×
Citations per year

Countries citing papers authored by Shulan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shulan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004297
2 200599
3 201988
4 200573
5 202142
6 200839
7 202112
8 20096
9 20116
10 20145
11 20225
12 20095
13
To Empathize, or Not Empathize in Educational Leadership.
20205
14
Inferencias y preguntas en la comprensión de textos científicos
20053
15 20203
16 20163
17
Individual Difference in Reasoning about Broken Devices: An Eye Tracking Study
20011
18 20161
19 20191
20 20191

About Shulan Lu

Shulan Lu is a scholar working on Human-Computer Interaction, Social Psychology, Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 22 papers that have together received 695 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (6 papers), Speech and dialogue systems (4 papers), Action Observation and Synchronization (4 papers), Gaze Tracking and Assistive Technology (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Online Learning and Analytics (3 papers), Neural and Behavioral Psychology Studies (2 papers) and Visual and Cognitive Learning Processes (2 papers). The work is most often cited by research in Computer Science Applications (132 citations), Developmental and Educational Psychology (270 citations), Human-Computer Interaction (76 citations), Occupational Therapy (47 citations) and Artificial Intelligence (349 citations). Shulan Lu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Arthur C. Graesser, Max M. Louwerse, Andrew M. Olney, G. Tanner Jackson, Derek Harter, Lacy E. Krueger, Beth A. Jones, Brent A. Olde, Elisa Cooper and Shannon Whitten. Their work appears in journals such as Applied Cognitive Psychology, Memory & Cognition, Scandinavian Journal of Gastroenterology, IEEE Sensors Journal and Cognitive Science.

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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