Baidong Yang
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Conducting polymers and applications 6
- Transition Metal Oxide Nanomaterials 2
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- Advanced Memory and Neural Computing 10
- Ferroelectric and Negative Capacitance Devices 4
- Gas Sensing Nanomaterials and Sensors 2
- Co-authors
- Ye Bo Zhou (11 shared papers)Su‐Ting Han (10 shared papers)Ding Guang-long (10 shared papers)Kui Zhou (9 shared papers)Ruosi Chen (5 shared papers)Yongbiao Zhai (5 shared papers)Chen Zhang (3 shared papers)Gang Shang (3 shared papers)
In The Last Decade
Baidong Yang
11 papers receiving 434 citations
Peers
Comparison fields: 5 of 35
- Polymers and Plastics 104
- Electrical and Electronic Engineering 336
- Cellular and Molecular Neuroscience 103
- Materials Chemistry 141
- Inorganic Chemistry 41
Countries citing papers authored by Baidong Yang
This map shows the geographic impact of Baidong Yang'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 Baidong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baidong Yang more than expected).
Fields of papers citing papers by Baidong Yang
This network shows the impact of papers produced by Baidong Yang. 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 Baidong Yang. The network helps show where Baidong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baidong Yang, 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 | 109 | |
| 2 | 2021 | 97 | |
| 3 | 2019 | 60 | |
| 4 | 2022 | 53 | |
| 5 | 2021 | 41 | |
| 6 | 2021 | 38 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 1 |
About Baidong Yang
Baidong Yang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering and Materials Chemistry, having authored 11 papers that have together received 444 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Conducting polymers and applications (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers), MXene and MAX Phase Materials (2 papers), Photoreceptor and optogenetics research (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Polymers and Plastics (104 citations), Electrical and Electronic Engineering (336 citations), Cellular and Molecular Neuroscience (103 citations), Materials Chemistry (141 citations) and Inorganic Chemistry (41 citations). Baidong Yang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Ye Bo Zhou, Su‐Ting Han, Ding Guang-long, Kui Zhou, Ruosi Chen, Yongbiao Zhai, Chen Zhang, Gang Shang, Yang Liu and Qiufan Liao. Their work appears in journals such as Small, Advanced Electronic Materials, Journal of Materials Chemistry C, Applied Physics Reviews and Advanced Functional Materials.
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.