Junze Wang
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Sentiment Analysis and Opinion Mining
- Machine Learning and ELM
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- Structural Response to Dynamic Loads
- Transportation Safety and Impact Analysis
Papers in
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- Neural Networks and Applications 3
- Machine Learning and ELM 2
- Sentiment Analysis and Opinion Mining 1
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- Face and Expression Recognition 2
- Co-authors
- Wei Zhang (3 shared papers)Richard Evans (3 shared papers)Jian Wang (3 shared papers)Huaqing Zhang (3 shared papers)Nikhil R. Pal (3 shared papers)Chengyan Zhu (1 shared paper)Yi‐Fei Pu (1 shared paper)Sheng Zhao (1 shared paper)
In The Last Decade
Junze Wang
12 papers receiving 349 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 129
- Civil and Structural Engineering 58
- Information Systems and Management 18
- Communication 16
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Junze Wang
This map shows the geographic impact of Junze Wang'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 Junze Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junze Wang more than expected).
Fields of papers citing papers by Junze Wang
This network shows the impact of papers produced by Junze Wang. 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 Junze Wang. The network helps show where Junze Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junze Wang, 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 | 2020 | 85 | |
| 2 | 2020 | 78 | |
| 3 | 2019 | 66 | |
| 4 | 2019 | 47 | |
| 5 | 2021 | 39 | |
| 6 | 2014 | 22 | |
| 7 | 2018 | 7 | |
| 8 | 2010 | 4 | |
| 9 | 2015 | 3 | |
| 10 | 2021 | 1 | |
| 11 | The Network Structure and Propagation Characteristics of Microblog Community Based on Social Network Analysis | 2016 | 1 |
| 12 | 2024 | 1 |
About Junze Wang
Junze Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Media Technology, having authored 12 papers that have together received 354 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Privacy, Security, and Data Protection (2 papers), Face and Expression Recognition (2 papers), Smart Cities and Technologies (2 papers), Machine Learning and ELM (2 papers), Spam and Phishing Detection (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Structural Response to Dynamic Loads (1 paper). The work is most often cited by research in Artificial Intelligence (129 citations), Civil and Structural Engineering (58 citations), Information Systems and Management (18 citations), Communication (16 citations) and Computer Vision and Pattern Recognition (45 citations). Junze Wang has collaborated with scholars based in China, Finland and India. Frequent co-authors include Wei Zhang, Richard Evans, Jian Wang, Huaqing Zhang, Nikhil R. Pal, Chengyan Zhu, Yi‐Fei Pu, Sheng Zhao, Yuansheng Cheng and Qin Chang. Their work appears in journals such as Journal of Medical Internet Research, IEEE Transactions on Neural Networks and Learning Systems, Transportation Planning and Technology, Heliyon and Materials & Design.
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.