Xiang Wan
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- Neuroscience and Neural Engineering 24
- Photoreceptor and optogenetics research 12
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- Advanced Memory and Neural Computing 58
- Ferroelectric and Negative Capacitance Devices 20
- Polymers and Plastics top 5%
- Conducting polymers and applications 13
- Materials Chemistry top 10%
- MXene and MAX Phase Materials 14
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 10
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- Neural Networks and Reservoir Computing 7
- Co-authors
- Yi YangYi ShiQing WanPing FengXiaojuan LianYi TongGuodong WuErtao Hu
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Journals
- SHILAP Revista de lepidopterología (1 paper)Applied Physics Letters (5 papers)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaSingaporeSouth Korea
In The Last Decade
Xiang Wan
63 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 641
- Electrical and Electronic Engineering 1.5k
- Polymers and Plastics 362
- Materials Chemistry 463
- Cognitive Neuroscience 153
Countries citing papers authored by Xiang Wan
This map shows the geographic impact of Xiang Wan'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 Xiang Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Wan more than expected).
Fields of papers citing papers by Xiang Wan
This network shows the impact of papers produced by Xiang Wan. 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 Xiang Wan. The network helps show where Xiang Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiang Wan, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 9 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 40 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 3 |
About Xiang Wan
Xiang Wan is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (58 papers), Neuroscience and Neural Engineering (24 papers), Ferroelectric and Negative Capacitance Devices (20 papers), MXene and MAX Phase Materials (14 papers), Conducting polymers and applications (13 papers), Photoreceptor and optogenetics research (12 papers), Neural dynamics and brain function (10 papers) and Neural Networks and Reservoir Computing (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (641 citations), Electrical and Electronic Engineering (1.5k citations) and Polymers and Plastics (362 citations). Xiang Wan has collaborated with scholars based in China, Singapore and South Korea. Frequent co-authors include Yi Yang, Yi Shi, Qing Wan, Ping Feng, Xiaojuan Lian, Yi Tong, Guodong Wu, Ertao Hu, Haipeng Xie and Jun He. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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.