Z. Wan
Impact in
- Bioengineering top 5%
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- Supercapacitor Materials and Fabrication
Papers in ⓘ
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- Graphene research and applications 9
- Quantum Dots Synthesis And Properties 3
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- Photonic and Optical Devices 3
- Advanced Memory and Neural Computing 3
- Co-authors
- Qin Li (5 shared papers)Nam‐Trung Nguyen (3 shared papers)Yongsheng Gao (3 shared papers)Mirko Lobino (4 shared papers)David V. Thiel (4 shared papers)Shujun Wang (3 shared papers)R. T. Sang (3 shared papers)Ivan Cole (2 shared papers)
In The Last Decade
Z. Wan
26 papers receiving 825 citations
Peers
Comparison fields: 5 of 77
- Bioengineering 80
- Electronic, Optical and Magnetic Materials 200
- Electrochemistry 59
- Biomedical Engineering 404
- Materials Chemistry 388
Countries citing papers authored by Z. Wan
This map shows the geographic impact of Z. 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 Z. Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Wan more than expected).
Fields of papers citing papers by Z. Wan
This network shows the impact of papers produced by Z. 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 Z. Wan. The network helps show where Z. Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 159 | |
| 2 | 2018 | 144 | |
| 3 | 2020 | 118 | |
| 4 | 2018 | 81 | |
| 5 | 2021 | 58 | |
| 6 | 2023 | 57 | |
| 7 | 2023 | 57 | |
| 8 | 2021 | 24 | |
| 9 | 2012 | 23 | |
| 10 | 2024 | 21 | |
| 11 | 2022 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2011 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2012 | 13 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2010 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Z. Wan
Z. Wan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 26 papers that have together received 867 indexed citations. Recurring topics across this work include Graphene research and applications (9 papers), Laser-Ablation Synthesis of Nanoparticles (5 papers), Neural Networks and Reservoir Computing (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Quantum Dots Synthesis And Properties (3 papers), Photonic and Optical Devices (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Bioengineering (80 citations), Electronic, Optical and Magnetic Materials (200 citations), Electrochemistry (59 citations), Biomedical Engineering (404 citations) and Materials Chemistry (388 citations). Z. Wan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Qin Li, Nam‐Trung Nguyen, Yongsheng Gao, Mirko Lobino, David V. Thiel, Shujun Wang, R. T. Sang, Ivan Cole, Adrian Trinchi and Min Gu. Their work appears in journals such as Advanced Materials Technologies, Laser & Photonics Review, Carbon, Advanced Optical Materials and Optics Express.
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.