Mingjun Nie
Impact in
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- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
- Luminescence and Fluorescent Materials
- Quantum Dots Synthesis And Properties
Papers in
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- Carbon and Quantum Dots Applications 5
- Luminescence and Fluorescent Materials 5
- Nanocluster Synthesis and Applications 4
- Graphene research and applications 1
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- Perovskite Materials and Applications 2
- Advanced Memory and Neural Computing 1
- Organic Electronics and Photovoltaics 1
- Chalcogenide Semiconductor Thin Films 1
- Co-authors
- Siyu Lu (6 shared papers)Lin Ai (6 shared papers)Ziqi Song (5 shared papers)Geoffrey I. N. Waterhouse (4 shared papers)Haoqiang Song (4 shared papers)Fukang Liu (2 shared papers)Biao Zhang (2 shared papers)Jingkun Yu (2 shared papers)
- Journals
- Advanced Science (2 papers)Solar Energy Materials and Solar Cells (1 paper)Angewandte Chemie International Edition (1 paper)Chemistry - A European Journal (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- ChinaNew ZealandJapan
In The Last Decade
Mingjun Nie
8 papers receiving 302 citations
Peers
Comparison fields: 5 of 36
- Materials Chemistry 251
- Biomaterials 15
- Electrical and Electronic Engineering 63
- Spectroscopy 17
- Cellular and Molecular Neuroscience 16
Countries citing papers authored by Mingjun Nie
This map shows the geographic impact of Mingjun Nie'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 Mingjun Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Nie more than expected).
Fields of papers citing papers by Mingjun Nie
This network shows the impact of papers produced by Mingjun Nie. 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 Mingjun Nie. The network helps show where Mingjun Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun Nie, 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 | 2022 | 160 | |
| 2 | 2023 | 62 | |
| 3 | 2022 | 33 | |
| 4 | 2023 | 32 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2026 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Mingjun Nie
Mingjun Nie is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Spectroscopy and Polymers and Plastics, having authored 10 papers that have together received 303 indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (5 papers), Luminescence and Fluorescent Materials (5 papers), Nanocluster Synthesis and Applications (4 papers), Perovskite Materials and Applications (2 papers), Advanced Memory and Neural Computing (1 paper), Organic Electronics and Photovoltaics (1 paper), Graphene research and applications (1 paper) and Chalcogenide Semiconductor Thin Films (1 paper). The work is most often cited by research in Materials Chemistry (251 citations), Biomaterials (15 citations), Electrical and Electronic Engineering (63 citations), Spectroscopy (17 citations) and Cellular and Molecular Neuroscience (16 citations). Mingjun Nie has collaborated with scholars based in China, New Zealand and Japan. Frequent co-authors include Siyu Lu, Lin Ai, Ziqi Song, Geoffrey I. N. Waterhouse, Haoqiang Song, Fukang Liu, Biao Zhang, Jingkun Yu, Xiaobing Yan and Gongjie Liu. Their work appears in journals such as Advanced Science, Solar Energy Materials and Solar Cells, Angewandte Chemie International Edition, Chemistry - A European Journal and Journal of the American Chemical Society.
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.