Minghao Wang
- Polymers and Plastics top 5%
- Conducting polymers and applications 15
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- Neuroscience and Neural Engineering 35
- Photoreceptor and optogenetics research 18
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- Advanced Memory and Neural Computing 13
- Perovskite Materials and Applications 9
- Materials Chemistry top 10%
- Bioengineering top 5%
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- Advanced Sensor and Energy Harvesting Materials 12
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- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 10
- Co-authors
- Bowen JiShufen ChenWei HuangKun CaoJingquan LiuLihui LiuWei ShenWei Wang
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Biosensors and Bioelectronics (6 papers)IEEE Sensors Journal (4 papers)RSC Advances (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Minghao Wang
85 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Polymers and Plastics 317
- Cellular and Molecular Neuroscience 390
- Electrical and Electronic Engineering 824
- Materials Chemistry 536
- Bioengineering 59
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-authorship network
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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 32 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 28 | |
| 18 | 2020 | 11 | |
| 19 | 2018 | 30 | |
| 20 | 2015 | 6 |
About Minghao Wang
Minghao Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Fuel Technology, Polymers and Plastics and Bioengineering, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (35 papers), Photoreceptor and optogenetics research (18 papers), Conducting polymers and applications (15 papers), Advanced Memory and Neural Computing (13 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (10 papers) and Perovskite Materials and Applications (9 papers). The work is most often cited by research in Polymers and Plastics (317 citations), Cellular and Molecular Neuroscience (390 citations), Electrical and Electronic Engineering (824 citations), Materials Chemistry (536 citations) and Bioengineering (59 citations). Minghao Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bowen Ji, Shufen Chen, Wei Huang, Kun Cao, Jingquan Liu, Lihui Liu, Wei Shen, Wei Wang, Xiaolin Wang and Ben Ma. Their work appears in journals such as Biosensors and Bioelectronics, IEEE Sensors Journal, RSC Advances, Journal of The Electrochemical Society and Microsystems & Nanoengineering.
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.