Haozhao Wang
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Topic Modeling
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Privacy-Preserving Technologies in Data 23
- Stochastic Gradient Optimization Techniques 12
- Domain Adaptation and Few-Shot Learning 7
- Topic Modeling 5
- Cryptography and Data Security 3
- Co-authors
- Song Guo (22 shared papers)Ruixuan Li (23 shared papers)Zhihao Qu (10 shared papers)Wenchao Xu (18 shared papers)Baoliu Ye (3 shared papers)Bin Tang (3 shared papers)Junxiao Wang (1 shared paper)Yufeng Zhan (2 shared papers)
In The Last Decade
Haozhao Wang
46 papers receiving 413 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 277
- Computer Science Applications 28
- Computer Networks and Communications 118
- Computer Vision and Pattern Recognition 79
- Health Informatics 3
Countries citing papers authored by Haozhao Wang
This map shows the geographic impact of Haozhao 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 Haozhao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haozhao Wang more than expected).
Fields of papers citing papers by Haozhao Wang
This network shows the impact of papers produced by Haozhao 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 Haozhao Wang. The network helps show where Haozhao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haozhao 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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 47 | |
| 2 | 2023 | 32 | |
| 3 | 2021 | 30 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 6 |
About Haozhao Wang
Haozhao Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 53 papers that have together received 418 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (23 papers), Stochastic Gradient Optimization Techniques (12 papers), Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Topic Modeling (5 papers), Recommender Systems and Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Artificial Intelligence (277 citations), Computer Science Applications (28 citations), Computer Networks and Communications (118 citations), Computer Vision and Pattern Recognition (79 citations) and Health Informatics (3 citations). Haozhao Wang has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Song Guo, Ruixuan Li, Zhihao Qu, Wenchao Xu, Baoliu Ye, Bin Tang, Junxiao Wang, Yufeng Zhan, Albert Y. Zomaya and Yi Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Internet of Things Journal, IEEE Communications Surveys & Tutorials and IEEE Journal on Selected Areas in 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.