Jing Wei
Impact in
- Polymers and Plastics top 1%
- Conducting polymers and applications
- Materials Chemistry top 2%
- Quantum Dots Synthesis And Properties
- Machine Learning in Materials Science
- Solid-state spectroscopy and crystallography
Papers in
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- Conducting polymers and applications 26
-
- Quantum Dots Synthesis And Properties 31
- Solid-state spectroscopy and crystallography 10
- Copper-based nanomaterials and applications 4
Jing Wei
86 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Polymers and Plastics 1.2k
- Materials Chemistry 2.2k
- Electrical and Electronic Engineering 2.6k
- Renewable Energy, Sustainability and the Environment 205
- Electronic, Optical and Magnetic Materials 221
Countries citing papers authored by Jing Wei
This map shows the geographic impact of Jing Wei'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 Jing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Wei more than expected).
Fields of papers citing papers by Jing Wei
This network shows the impact of papers produced by Jing Wei. 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 Jing Wei. The network helps show where Jing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Wei, 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 | 2024 | 5 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 88 | |
| 12 | 2022 | 30 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 170 | |
| 15 | 2020 | 17 | |
| 16 | 2019 | 14 | |
| 17 | 2019 | 56 | |
| 18 | 2019 | 43 | |
| 19 | 2016 | 1 | |
| 20 | Measurement and calculation for detective quantum efficiency of medical digital X-ray imaging devices | 2011 | 5 |
About Jing Wei
Jing Wei is a scholar working on Polymers and Plastics, Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Ceramics and Composites, having authored 93 papers that have together received 3.9k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (56 papers), Quantum Dots Synthesis And Properties (31 papers), Chalcogenide Semiconductor Thin Films (29 papers), Conducting polymers and applications (26 papers), Solid-state spectroscopy and crystallography (10 papers), Crystal Structures and Properties (5 papers), Copper-based nanomaterials and applications (4 papers) and Organic Electronics and Photovoltaics (4 papers). The work is most often cited by research in Polymers and Plastics (1.2k citations), Materials Chemistry (2.2k citations), Electrical and Electronic Engineering (2.6k citations), Renewable Energy, Sustainability and the Environment (205 citations) and Electronic, Optical and Magnetic Materials (221 citations). Jing Wei has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yicheng Zhao, Qing Zhao, Dapeng Yu, Hongbo Li, Kun Xu, Xuan Chu, Wenke Zhou, Heng Li, Xiangyu Sun and Hui‐Xiong Deng. Their work appears in journals such as Inorganic Chemistry, Advanced Materials, Advanced Energy Materials, Materials Letters and Angewandte Chemie International Edition.
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.