Zhuo Wang
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Automotive Engineering top 10%
- Topics
- Augmented Reality Applications (13 papers)Advanced Neural Network Applications (7 papers)Virtual Reality Applications and Impacts (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhuo Wang
80 papers receiving 995 citations
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 321
- Human-Computer Interaction 213
- Electrical and Electronic Engineering 162
- Mechanical Engineering 133
- Automotive Engineering 121
Countries citing papers authored by Zhuo Wang
This map shows the geographic impact of Zhuo 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 Zhuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuo Wang more than expected).
Fields of papers citing papers by Zhuo Wang
This network shows the impact of papers produced by Zhuo 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 Zhuo Wang. The network helps show where Zhuo Wang may publish in the future.
Co-authorship network of co-authors of Zhuo Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuo Wang. A scholar is included among the top collaborators of Zhuo Wang 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 Zhuo Wang. Zhuo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 15 | |
| 9 | A Contribution-Oriented Self-Directed Mobile Learning Ecology Approach to Improving EFL Students' Vocabulary Retention and Second Language Motivation | 21 |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | Relationship between correlation immune andweight of H Boolean functions | 0 |
| 15 | RESEARCH ON STAGES OF CHANGE MODEL IN HEALTH BEHAVIORS | 1 |
| 16 | [Applying a "stage of behaviors change" model on nutrition intervention in farmers]. | 5 |
| 17 | An Adaptive Impulsive Noise Canceller Based on Modified NLMP Algorithm | 0 |
| 18 | 20 | |
| 19 | Integrated evaluation method for enterprise achievement | 1 |
| 20 | Calling for Construction of SOEs' Double-layer Property Rights System | 1 |
About Zhuo Wang
Zhuo Wang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 93 papers that have together received 1.0k indexed citations. Recurring topics across this work include Augmented Reality Applications (13 papers), Advanced Neural Network Applications (7 papers) and Virtual Reality Applications and Impacts (7 papers). The work is most often cited by research in Human-Computer Interaction (213 citations), Computer Vision and Pattern Recognition (321 citations) and Automotive Engineering (121 citations). Zhuo Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoliang Bai, Shusheng Zhang, Weiping He, Mark Billinghurst, Ke Zhan, Bin Zhao, Cuiying Dai, Xi Chen, Zheng Yang and Peng Wang. Their work appears in journals such as Journal of Power Sources, Scientific Reports and Electrochimica Acta.
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.