Lu Ding
Impact in
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- Online Learning and Analytics
- Teaching and Learning Programming
- Health Informatics top 5%
Papers in ⓘ
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- Innovative Teaching and Learning Methods 10
- Educational Games and Gamification 8
- Education 12
- Online and Blended Learning 7
- Innovative Teaching Methods 3
- Co-authors
- Michael Orey (3 shared papers)Erkan Er (2 shared papers)ChanMin Kim (2 shared papers)Tong Li (3 shared papers)Shiyan Jiang (1 shared paper)A. A. Gapud (1 shared paper)Theodore J. Kopcha (2 shared papers)Qiang Hao (3 shared papers)
- Journals
- TechTrends (3 papers)Journal of Computer Assisted Learning (2 papers)Journal of Research on Technology in Education (2 papers)Computers & Education (2 papers)Journal of Virology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Lu Ding
35 papers receiving 697 citations
Peers
Comparison fields: 5 of 119
- Computer Science Applications 270
- Health Informatics 41
- Developmental and Educational Psychology 375
- Human-Computer Interaction 44
- Education 233
Countries citing papers authored by Lu Ding
This map shows the geographic impact of Lu Ding'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 Lu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Ding more than expected).
Fields of papers citing papers by Lu Ding
This network shows the impact of papers produced by Lu Ding. 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 Lu Ding. The network helps show where Lu Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 151 | |
| 2 | 2017 | 134 | |
| 3 | 2023 | 93 | |
| 4 | 2018 | 89 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 28 | |
| 7 | 2016 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2024 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2015 | 4 | |
| 20 | 2023 | 4 |
About Lu Ding
Lu Ding is a scholar working on Developmental and Educational Psychology, Education, Computer Science Applications, Molecular Biology and Epidemiology, having authored 42 papers that have together received 721 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (10 papers), Educational Games and Gamification (8 papers), Online Learning and Analytics (8 papers), Online and Blended Learning (7 papers), Visual and Cognitive Learning Processes (5 papers), Teaching and Learning Programming (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Innovative Teaching Methods (3 papers). The work is most often cited by research in Computer Science Applications (270 citations), Health Informatics (41 citations), Developmental and Educational Psychology (375 citations), Human-Computer Interaction (44 citations) and Education (233 citations). Lu Ding has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Michael Orey, Erkan Er, ChanMin Kim, Tong Li, Shiyan Jiang, A. A. Gapud, Theodore J. Kopcha, Qiang Hao, Ikseon Choi and David H. Smith. Their work appears in journals such as TechTrends, Journal of Computer Assisted Learning, Journal of Research on Technology in Education, Computers & Education and Journal of Virology.
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.