Jingyan Lu

1.4k citations
38 papers · 920 · h-index 16

Impact in

Papers in

Jingyan Lu

37 papers receiving 870 citations

Peers

Jingyan Lu
Comparison fields: 5 of 116
  • Developmental and Educational Psychology 347
  • Computer Science Applications 117
  • Education 491
  • Health Informatics 17
  • Communication 90
Replace Beaumie Kim with:
Beaumie Kim Canada
Roy B. Clariana United States
Binbin Zheng United States
Rose Luckin United Kingdom
Nam Ju Kim South Korea
Femke Kirschner Netherlands
Hannie Gijlers Netherlands
Bian Wu China
Laura Helle Finland
Maik Beege Germany
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Citations per field
00.5×3.3×
Beaumie Kim · 1×
Citations per year

Countries citing papers authored by Jingyan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jingyan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011183
2 201180
3 201576
4 201673
5 201058
6
In Chinese) Mechanical engineering
200056
7 201439
8 201633
9 201231
10 201031
11 201129
12 200826
13 201321
14 201320
15 201319
16 201319
17 201815
18 200815
19 201515
20 201412

About Jingyan Lu

Jingyan Lu is a scholar working on Education, Developmental and Educational Psychology, Communication, Artificial Intelligence and Molecular Biology, having authored 38 papers that have together received 920 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (17 papers), Online and Blended Learning (6 papers), Education and Critical Thinking Development (6 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Problem and Project Based Learning (4 papers), Wikis in Education and Collaboration (3 papers), Impact of Technology on Adolescents (3 papers) and Student Assessment and Feedback (3 papers). The work is most often cited by research in Developmental and Educational Psychology (347 citations), Computer Science Applications (117 citations), Education (491 citations), Health Informatics (17 citations) and Communication (90 citations). Jingyan Lu has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Nancy Law, Susanne P. Lajoie, Zhidong Zhang, Jeffrey Wiseman, Qiang Hao, Lap Ki Chan, Baichun Zhang, Cindy E. Hmelo‐Silver, Liping Deng and Eric Poitras. Their work appears in journals such as Computers in Human Behavior, Interdisciplinary Journal of Problem-based Learning, Journal of Educational Computing Research, The FASEB Journal and Interactive Learning Environments.

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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