Zhi‐Hong Mao
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Mingui SunWenyan JiaGregory F. ReedRuiping XiaChengliu LiBrandon M. GraingerÉric FéronYicheng Bai
- Topics
- EEG and Brain-Computer Interfaces (16 papers)Energy Harvesting in Wireless Networks (13 papers)Gaze Tracking and Assistive Technology (12 papers)
- Journals
- Scientific ReportsIEEE Transactions on Industrial ElectronicsIEEE Transactions on Power Electronics
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Zhi‐Hong Mao
153 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 162
- Electrical and Electronic Engineering 1.1k
- Biomedical Engineering 711
- Control and Systems Engineering 361
- Computer Vision and Pattern Recognition 339
- Cognitive Neuroscience 337
Countries citing papers authored by Zhi‐Hong Mao
This map shows the geographic impact of Zhi‐Hong Mao'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 Zhi‐Hong Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi‐Hong Mao more than expected).
Fields of papers citing papers by Zhi‐Hong Mao
This network shows the impact of papers produced by Zhi‐Hong Mao. 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 Zhi‐Hong Mao. The network helps show where Zhi‐Hong Mao may publish in the future.
Co-authorship network of co-authors of Zhi‐Hong Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Hong Mao. A scholar is included among the top collaborators of Zhi‐Hong Mao 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 Zhi‐Hong Mao. Zhi‐Hong Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 18 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 61 | |
| 11 | 32 | |
| 12 | 36 | |
| 13 | 38 | |
| 14 | 37 | |
| 15 | 12 | |
| 16 | 24 | |
| 17 | 14 | |
| 18 | 48 | |
| 19 | 29 | |
| 20 | 12 |
About Zhi‐Hong Mao
Zhi‐Hong Mao is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 159 papers that have together received 2.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Energy Harvesting in Wireless Networks (13 papers) and Gaze Tracking and Assistive Technology (12 papers). The work is most often cited by research in Human-Computer Interaction (146 citations), Electrical and Electronic Engineering (1.1k citations) and Cognitive Neuroscience (337 citations). Zhi‐Hong Mao has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Mingui Sun, Wenyan Jia, Gregory F. Reed, Ruiping Xia, Chengliu Li, Brandon M. Grainger, Éric Féron, Yicheng Bai, Robert J. Sclabassi and Raghav Khanna. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.
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.