Minghao Wang
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
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- Emotion and Mood Recognition
Papers in
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- Blockchain Technology Applications and Security 4
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- Privacy-Preserving Technologies in Data 3
- Cryptography and Data Security 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Wanlei Zhou (5 shared papers)Tianqing Zhu (5 shared papers)Shui Yu (5 shared papers)Tao Zhang (1 shared paper)Jun Zhang (1 shared paper)Tianhao Tang (1 shared paper)Chuanhe Liu (1 shared paper)Dayong Ye (3 shared papers)
In The Last Decade
Minghao Wang
14 papers receiving 426 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 138
- Experimental and Cognitive Psychology 64
- Signal Processing 42
- Computer Vision and Pattern Recognition 70
- Media Technology 27
Countries citing papers authored by Minghao Wang
This map shows the geographic impact of Minghao 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 Minghao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghao Wang more than expected).
Fields of papers citing papers by Minghao Wang
This network shows the impact of papers produced by Minghao 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 Minghao Wang. The network helps show where Minghao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghao 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 | 242 | |
| 2 | 2018 | 77 | |
| 3 | Overview of Gaussian process regression | 2013 | 43 |
| 4 | 2020 | 33 | |
| 5 | 2023 | 17 | |
| 6 | 2020 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2010 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2013 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2026 | 0 |
About Minghao Wang
Minghao Wang is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 15 papers that have together received 444 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), Privacy-Preserving Technologies in Data (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), IoT and Edge/Fog Computing (2 papers), Transportation and Mobility Innovations (1 paper), Cryptography and Data Security (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Luminescence Properties of Advanced Materials (1 paper). The work is most often cited by research in Computer Networks and Communications (138 citations), Experimental and Cognitive Psychology (64 citations), Signal Processing (42 citations), Computer Vision and Pattern Recognition (70 citations) and Media Technology (27 citations). Minghao Wang has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Wanlei Zhou, Tianqing Zhu, Shui Yu, Tao Zhang, Jun Zhang, Tianhao Tang, Chuanhe Liu, Dayong Ye, Mengmeng Yang and Bin Jiang. Their work appears in journals such as IEEE Internet of Things Journal, EURASIP Journal on Wireless Communications and Networking, Digital Communications and Networks, Journal of Theoretical Biology and Ad Hoc Networks.
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.