Lehong Shi
- Computer Science Applications top 2%
- Education top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Xiaoming ZhaıKevin C. HaudekRoss H. NehmYue YinJames W. PellegrinoIkseon ChoiAi-Chu Elisha DingMark Urban‐Lurain
- Topics
- Online Learning and Analytics (9 papers)Technology-Enhanced Education Studies (3 papers)Educational Games and Gamification (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Research in Science TeachingBritish Journal of Educational Technology
- Partner nations
- United StatesChinaGermany
In The Last Decade
Lehong Shi
11 papers receiving 380 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Science Applications 181
- Education 133
- Artificial Intelligence 130
- Information Systems 80
- Developmental and Educational Psychology 80
Countries citing papers authored by Lehong Shi
This map shows the geographic impact of Lehong Shi'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 Lehong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lehong Shi more than expected).
Fields of papers citing papers by Lehong Shi
This network shows the impact of papers produced by Lehong Shi. 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 Lehong Shi. The network helps show where Lehong Shi may publish in the future.
Co-authorship network of co-authors of Lehong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Lehong Shi. A scholar is included among the top collaborators of Lehong Shi 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 Lehong Shi. Lehong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | Enhancing teacher AI literacy and integration through different types of cases in teacher professional developmentbreakdown → | 74 |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 0 | |
| 10 | 51 | |
| 11 | 31 | |
| 12 | 145 | |
| 13 | 66 |
About Lehong Shi
Lehong Shi is a scholar working on Computer Science Applications, Information Systems and Developmental and Educational Psychology, having authored 13 papers that have together received 403 indexed citations. Recurring topics across this work include Online Learning and Analytics (9 papers), Technology-Enhanced Education Studies (3 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Computer Science Applications (181 citations), Health Informatics (40 citations) and Developmental and Educational Psychology (80 citations). Lehong Shi has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiaoming Zhaı, Kevin C. Haudek, Ross H. Nehm, Yue Yin, James W. Pellegrino, Ikseon Choi, Ai-Chu Elisha Ding, Mark Urban‐Lurain, Theodore J. Kopcha and Zhengliang Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Research in Science Teaching and British Journal of Educational Technology.
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.