Jun Wei
Impact in
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- Supramolecular Chemistry and Complexes
- Synthesis and Properties of Aromatic Compounds
- Sulfur-Based Synthesis Techniques
- Synthesis of Indole Derivatives
- Synthesis and Catalytic Reactions
Papers in
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- Supramolecular Chemistry and Complexes 2
- Synthesis and Properties of Aromatic Compounds 2
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- Fluid Dynamics Simulations and Interactions 3
- Fluid Dynamics and Heat Transfer 1
- Co-authors
- Xiao‐Ping Cao (3 shared papers)Dietmar Kuck (3 shared papers)Hak‐Fun Chow (2 shared papers)Zhimin Li (2 shared papers)Jing Kang (1 shared paper)Jianmin Liang (1 shared paper)Mingxian Li (1 shared paper)Yanli Chen (3 shared papers)
- Journals
- Drones (2 papers)European Journal of Organic Chemistry (1 paper)Medicine (1 paper)Maturitas (1 paper)Chemistry - An Asian Journal (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Jun Wei
14 papers receiving 112 citations
Peers
Comparison fields: 5 of 51
- Organic Chemistry 53
- Complementary and Manual Therapy 2
- Endocrine and Autonomic Systems 6
- Spectroscopy 12
- Inorganic Chemistry 9
Countries citing papers authored by Jun Wei
This map shows the geographic impact of Jun 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 Jun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei more than expected).
Fields of papers citing papers by Jun Wei
This network shows the impact of papers produced by Jun 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 Jun Wei. The network helps show where Jun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 | 2018 | 29 | |
| 2 | 2022 | 25 | |
| 3 | 2015 | 17 | |
| 4 | 2024 | 9 | |
| 5 | 2015 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 5 | |
| 9 | 2013 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Jun Wei
Jun Wei is a scholar working on Organic Chemistry, Computational Mechanics, Spectroscopy, Surgery and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 114 indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (3 papers), Supramolecular Chemistry and Complexes (2 papers), Molecular Sensors and Ion Detection (2 papers), Luminescence and Fluorescent Materials (2 papers), Robotic Path Planning Algorithms (2 papers), Synthesis and Properties of Aromatic Compounds (2 papers), Fluid Dynamics and Heat Transfer (1 paper) and Organ and Tissue Transplantation Research (1 paper). The work is most often cited by research in Organic Chemistry (53 citations), Complementary and Manual Therapy (2 citations), Endocrine and Autonomic Systems (6 citations), Spectroscopy (12 citations) and Inorganic Chemistry (9 citations). Jun Wei has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Xiao‐Ping Cao, Dietmar Kuck, Hak‐Fun Chow, Zhimin Li, Jing Kang, Jianmin Liang, Mingxian Li, Yanli Chen, Xiaojie Jin and Xiu‐Qin Dong. Their work appears in journals such as Drones, European Journal of Organic Chemistry, Medicine, Maturitas and Chemistry - An Asian Journal.
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.