Runze Wu
Impact in
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- Supercapacitor Materials and Fabrication
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- Online Learning and Analytics
Papers in
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- Recommender Systems and Techniques 19
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- Artificial Intelligence in Games 10
- Topic Modeling 6
- Advanced Graph Neural Networks 6
Runze Wu
76 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Electronic, Optical and Magnetic Materials 1.0k
- Computer Science Applications 172
- Information Systems and Management 142
- Artificial Intelligence 581
- Electrical and Electronic Engineering 948
Countries citing papers authored by Runze Wu
This map shows the geographic impact of Runze 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 Runze Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runze Wu more than expected).
Fields of papers citing papers by Runze Wu
This network shows the impact of papers produced by Runze 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 Runze Wu. The network helps show where Runze Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Runze 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 15 | |
| 14 | Porous MgCo2O4 nanoflakes serve as electrode materials for hybrid supercapacitors with excellent performance Hit paper breakdown → | 2022 | 192 |
| 15 | 2022 | 4 | |
| 16 | 2019 | 64 | |
| 17 | 2019 | 22 | |
| 18 | 2017 | 10 | |
| 19 | 2017 | 6 | |
| 20 | Cognitive modelling for predicting examinee performance | 2015 | 43 |
About Runze Wu
Runze Wu is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Computer Science Applications and Marketing, having authored 81 papers that have together received 2.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (19 papers), Advancements in Battery Materials (12 papers), Supercapacitor Materials and Fabrication (12 papers), Advanced battery technologies research (11 papers), Artificial Intelligence in Games (10 papers), Digital Marketing and Social Media (9 papers), Topic Modeling (6 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.0k citations), Computer Science Applications (172 citations), Information Systems and Management (142 citations), Artificial Intelligence (581 citations) and Electrical and Electronic Engineering (948 citations). Runze Wu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Chunju Xu, Huiyu Chen, Jiale Sun, Xuming Du, Huiyu Chen, Xiaohong Liu, Yanfei Zhang, Enhui Bao, Yi Li and Enhong Chen. Their work appears in journals such as Ceramics International, ACM Transactions on Information Systems, Frontiers in Psychology, International Journal of Hydrogen Energy and Sustainability.
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.