Kun Dang
Impact in
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- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
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- Ammonia Synthesis and Nitrogen Reduction
Papers in
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- Advanced Photocatalysis Techniques 16
- Electrocatalysts for Energy Conversion 5
- Iron oxide chemistry and applications 2
-
- Copper-based nanomaterials and applications 5
- Catalytic Processes in Materials Science 3
- Co-authors
- Yang Tian (5 shared papers)Wenming Sun (3 shared papers)Jincai Zhao (13 shared papers)Yuchao Zhang (13 shared papers)Chuncheng Chen (9 shared papers)Daojian Tang (6 shared papers)Lei Wu (10 shared papers)Sihui Zhan (2 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)Nano Research (2 papers)Angewandte Chemie International Edition (2 papers)Analytica Chimica Acta (1 paper)Nature Communications (1 paper)
- Partner nations
- China
In The Last Decade
Kun Dang
19 papers receiving 294 citations
Peers
Comparison fields: 5 of 34
- Renewable Energy, Sustainability and the Environment 185
- Catalysis 43
- Inorganic Chemistry 58
- Electrochemistry 23
- Materials Chemistry 132
Countries citing papers authored by Kun Dang
This map shows the geographic impact of Kun Dang'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 Kun Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Dang more than expected).
Fields of papers citing papers by Kun Dang
This network shows the impact of papers produced by Kun Dang. 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 Kun Dang. The network helps show where Kun Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Dang, 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 | 2021 | 48 | |
| 2 | 2022 | 43 | |
| 3 | 2023 | 34 | |
| 4 | 2023 | 29 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 24 | |
| 7 | 2023 | 23 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 |
About Kun Dang
Kun Dang is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Catalysis, Biomedical Engineering and Computer Networks and Communications, having authored 19 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (16 papers), Electrocatalysts for Energy Conversion (5 papers), Copper-based nanomaterials and applications (5 papers), Ammonia Synthesis and Nitrogen Reduction (4 papers), Catalytic Processes in Materials Science (3 papers), Iron oxide chemistry and applications (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (185 citations), Catalysis (43 citations), Inorganic Chemistry (58 citations), Electrochemistry (23 citations) and Materials Chemistry (132 citations). Kun Dang has collaborated with scholars based in China. Frequent co-authors include Yang Tian, Wenming Sun, Jincai Zhao, Yuchao Zhang, Chuncheng Chen, Daojian Tang, Lei Wu, Sihui Zhan, Xuewei Wang and Ligang Wang. Their work appears in journals such as Journal of the American Chemical Society, Nano Research, Angewandte Chemie International Edition, Analytica Chimica Acta and Nature Communications.
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.