Jun Peng
Impact in
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- Online Learning and Analytics
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- Innovative Teaching and Learning Methods
Papers in
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- Innovative concrete reinforcement materials 9
- Structural Response to Dynamic Loads 7
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- Particle Accelerators and Free-Electron Lasers 9
- Co-authors
- Minhong Wang (15 shared papers)Jacob Hammer (3 shared papers)Louis Ngai Yuen Wong (2 shared papers)Bo Cheng (2 shared papers)J.C.M. Ho (10 shared papers)Cee Ing Teh (1 shared paper)Meng Sun (3 shared papers)Liang Cheng (1 shared paper)
In The Last Decade
Jun Peng
113 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 147
- Computer Science Applications 147
- Developmental and Educational Psychology 135
- Education 203
- Information Systems and Management 47
- Civil and Structural Engineering 137
Countries citing papers authored by Jun Peng
This map shows the geographic impact of Jun Peng'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 Jun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Peng more than expected).
Fields of papers citing papers by Jun Peng
This network shows the impact of papers produced by Jun Peng. 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 Jun Peng. The network helps show where Jun Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Peng, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 90 | |
| 2 | 2021 | 74 | |
| 3 | 2021 | 72 | |
| 4 | Knowledge Visualization for Self-Regulated Learning. | 2011 | 49 |
| 5 | 2007 | 42 | |
| 6 | 2007 | 42 | |
| 7 | 2009 | 41 | |
| 8 | 2022 | 35 | |
| 9 | 2018 | 35 | |
| 10 | 2021 | 30 | |
| 11 | 2012 | 27 | |
| 12 | 2019 | 27 | |
| 13 | 2021 | 26 | |
| 14 | 2019 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2018 | 22 | |
| 17 | 2011 | 22 | |
| 18 | 2020 | 21 | |
| 19 | Visualizing the Complex Process for Deep Learning with an Authentic Programming Project | 2017 | 19 |
| 20 | 2019 | 18 |
About Jun Peng
Jun Peng is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Building and Construction and Biomedical Engineering, having authored 129 papers that have together received 1.2k indexed citations. Recurring topics across this work include Structural Behavior of Reinforced Concrete (17 papers), Particle accelerators and beam dynamics (16 papers), Particle Accelerators and Free-Electron Lasers (9 papers), Innovative concrete reinforcement materials (9 papers), Online Learning and Analytics (8 papers), Wireless Networks and Protocols (8 papers), Mobile Ad Hoc Networks (8 papers) and Structural Response to Dynamic Loads (7 papers). The work is most often cited by research in Computer Science Applications (147 citations), Developmental and Educational Psychology (135 citations), Education (203 citations), Information Systems and Management (47 citations) and Civil and Structural Engineering (137 citations). Jun Peng has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Minhong Wang, Jacob Hammer, Louis Ngai Yuen Wong, Bo Cheng, J.C.M. Ho, Cee Ing Teh, Meng Sun, Liang Cheng, Rupert Wegerif and Bei Yuan. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Applied Sciences, Engineering Structures, Educational Technology & Society and Laser Physics.
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.