Hao Wang
- Information Systems top 0.05%
- Recommender Systems and Techniques 40
- Blockchain Technology Applications and Security 32
- Cloud Computing and Resource Management 25
- Computer Networks and Communications top 0.2%
- IoT and Edge/Fog Computing 27
- Transportation top 0.5%
- Automotive Engineering top 0.5%
- Artificial Intelligence top 0.2%
- Privacy-Preserving Technologies in Data 39
- Cryptography and Data Security 34
- Topic Modeling 28
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- Parallel Computing and Optimization Techniques 36
- Co-authors
- Hong‐Ning DaiHongzhi YinYulei WuLei RenGuangquan XuShrikanth NarayananAbe KazemzadehFrançois Bar
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Hao Wang
979 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 233
- Information Systems 3.5k
- Computer Networks and Communications 3.0k
- Transportation 824
- Automotive Engineering 1.4k
- Artificial Intelligence 3.6k
Countries citing papers authored by Hao Wang
This map shows the geographic impact of Hao 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 Hao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Wang more than expected).
Fields of papers citing papers by Hao Wang
This network shows the impact of papers produced by Hao 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 Hao Wang. The network helps show where Hao Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hao 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 29 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 7 |
About Hao Wang
Hao Wang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 1.1k papers that have together received 16.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (40 papers), Privacy-Preserving Technologies in Data (39 papers), Parallel Computing and Optimization Techniques (36 papers), Cryptography and Data Security (34 papers), Blockchain Technology Applications and Security (32 papers), Topic Modeling (28 papers), IoT and Edge/Fog Computing (27 papers) and Cloud Computing and Resource Management (25 papers). The work is most often cited by research in Information Systems (3.5k citations), Computer Networks and Communications (3.0k citations) and Transportation (824 citations). Hao Wang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Hong‐Ning Dai, Hongzhi Yin, Yulei Wu, Lei Ren, Guangquan Xu, Shrikanth Narayanan, Abe Kazemzadeh, François Bar, Doğan Can and Junhao Zhou. Their work appears in journals such as IEEE Access, Sensors, Future Generation Computer Systems, Information Sciences and Expert Systems with Applications.
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.