Linjing Wu
Impact in
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- Online Learning and Analytics
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Education 11
- Online and Blended Learning 9
- Co-authors
- Qingtang Liu (35 shared papers)Si Zhang (2 shared papers)Ke Zhu (1 shared paper)Wei Zhou (6 shared papers)Kui Xie (1 shared paper)Taotao Long (1 shared paper)Wanlei Zhou (1 shared paper)Xuyang Chu (3 shared papers)
- Journals
- International Journal of Hydrogen Energy (2 papers)Journal of Educational Computing Research (2 papers)Education and Information Technologies (2 papers)British Journal of Educational Technology (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Linjing Wu
50 papers receiving 354 citations
Peers
Comparison fields: 5 of 89
- Computer Science Applications 59
- Human-Computer Interaction 41
- Developmental and Educational Psychology 63
- Health Informatics 4
- Artificial Intelligence 88
Countries citing papers authored by Linjing Wu
This map shows the geographic impact of Linjing Wu'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 Linjing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjing Wu more than expected).
Fields of papers citing papers by Linjing Wu
This network shows the impact of papers produced by Linjing Wu. 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 Linjing Wu. The network helps show where Linjing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjing Wu, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 39 | |
| 2 | 2020 | 33 | |
| 3 | 2021 | 27 | |
| 4 | 2018 | 27 | |
| 5 | 2022 | 20 | |
| 6 | 2024 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2024 | 16 | |
| 9 | 2017 | 11 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2025 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 6 |
About Linjing Wu
Linjing Wu is a scholar working on Artificial Intelligence, Education, Computer Science Applications, Developmental and Educational Psychology and Information Systems, having authored 56 papers that have together received 365 indexed citations. Recurring topics across this work include Online and Blended Learning (9 papers), Innovative Teaching and Learning Methods (9 papers), Online Learning and Analytics (9 papers), Virtual Reality Applications and Impacts (6 papers), Topic Modeling (4 papers), Augmented Reality Applications (4 papers), Knowledge Management and Sharing (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Computer Science Applications (59 citations), Human-Computer Interaction (41 citations), Developmental and Educational Psychology (63 citations), Health Informatics (4 citations) and Artificial Intelligence (88 citations). Linjing Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingtang Liu, Si Zhang, Ke Zhu, Wei Zhou, Kui Xie, Taotao Long, Wanlei Zhou, Xuyang Chu, Qi Xu and Xinying Li. Their work appears in journals such as International Journal of Hydrogen Energy, Journal of Educational Computing Research, Education and Information Technologies, British Journal of Educational Technology and Nature Communications.
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.