Wan‐Jian Yin
- Materials Chemistry top 0.1%
- Quantum Dots Synthesis And Properties 56
- Graphene research and applications 21
- Machine Learning in Materials Science 20
- ZnO doping and properties 19
- Electronic and Structural Properties of Oxides 18
- Solid-state spectroscopy and crystallography 16
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- Perovskite Materials and Applications 69
- Chalcogenide Semiconductor Thin Films 60
- Polymers and Plastics top 0.5%
Wan‐Jian Yin
159 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Materials Chemistry 12.1k
- Electrical and Electronic Engineering 13.4k
- Polymers and Plastics 2.7k
- Renewable Energy, Sustainability and the Environment 1.9k
- Electronic, Optical and Magnetic Materials 1.9k
Countries citing papers authored by Wan‐Jian Yin
This map shows the geographic impact of Wan‐Jian Yin'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 Wan‐Jian Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Jian Yin more than expected).
Fields of papers citing papers by Wan‐Jian Yin
This network shows the impact of papers produced by Wan‐Jian Yin. 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 Wan‐Jian Yin. The network helps show where Wan‐Jian Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wan‐Jian Yin, 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 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 40 | |
| 9 | 2022 | 42 | |
| 10 | 2021 | 75 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 87 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 106 | |
| 16 | 2019 | 128 | |
| 17 | Oxide perovskites, double perovskites and derivatives for electrocatalysis, photocatalysis, and photovoltaicsbreakdown → | 2018 | 592 |
| 18 | Stability Trend of Tilted Perovskites C | 2018 | 6 |
| 19 | 2017 | 179 | |
| 20 | Origin of the unusually large band gap bowing and the breakdown of the band-edge distribution rule in the SnxGe1-x alloys | 2009 | 2 |
About Wan‐Jian Yin
Wan‐Jian Yin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 166 papers that have together received 16.0k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (69 papers), Chalcogenide Semiconductor Thin Films (60 papers), Quantum Dots Synthesis And Properties (56 papers), Graphene research and applications (21 papers), Machine Learning in Materials Science (20 papers), ZnO doping and properties (19 papers), Electronic and Structural Properties of Oxides (18 papers) and Solid-state spectroscopy and crystallography (16 papers). The work is most often cited by research in Materials Chemistry (12.1k citations), Electrical and Electronic Engineering (13.4k citations) and Polymers and Plastics (2.7k citations). Wan‐Jian Yin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanfa Yan, Tingting Shi, Su‐Huai Wei, Qingde Sun, Ji‐Hui Yang, Mowafak Al‐Jassim, Joongoo Kang, Zhenzhu Li, Xin-Gao Gong and Baicheng Weng. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced 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.