N. Shan
Impact in
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- Crystallography and molecular interactions
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
- Crystal structures of chemical compounds
Papers in
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- Data Mining Algorithms and Applications 2
- Blockchain Technology Applications and Security 1
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- Photochemistry and Electron Transfer Studies 2
- Co-authors
- Weitao Zheng (2 shared papers)Lingling Wang (1 shared paper)Liang Yu (1 shared paper)William Jones (1 shared paper)Andrew D. Bond (1 shared paper)Wojciech Ziarko (2 shared papers)N. Cercone (1 shared paper)Christine W. Chan (1 shared paper)
- Journals
- Dyes and Pigments (1 paper)International Journal of Sensor Networks (1 paper)Chemical Research in Chinese Universities (1 paper)Noise & Vibration Worldwide (1 paper)PubMed (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
N. Shan
7 papers receiving 376 citations
Peers
Comparison fields: 5 of 60
- Physical and Theoretical Chemistry 127
- Inorganic Chemistry 136
- Materials Chemistry 190
- Renewable Energy, Sustainability and the Environment 47
- Process Chemistry and Technology 6
Countries citing papers authored by N. Shan
This map shows the geographic impact of N. Shan'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 N. Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Shan more than expected).
Fields of papers citing papers by N. Shan
This network shows the impact of papers produced by N. Shan. 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 N. Shan. The network helps show where N. Shan may publish in the future.
Co-authors
The 19 scholars most cited alongside N. Shan, 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 | 2007 | 189 | |
| 2 | 2002 | 132 | |
| 3 | 1997 | 32 | |
| 4 | Knowledge discovery in clinical databases based on variable precision rough set model. | 1995 | 12 |
| 5 | 2012 | 9 | |
| 6 | 2010 | 2 | |
| 7 | 2006 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2022 | 0 |
About N. Shan
N. Shan is a scholar working on Information Systems, Physical and Theoretical Chemistry, Computational Theory and Mathematics, Materials Chemistry and Computer Networks and Communications, having authored 9 papers that have together received 378 indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (2 papers), Data Mining Algorithms and Applications (2 papers), Rough Sets and Fuzzy Logic (2 papers), Photochemistry and Electron Transfer Studies (2 papers), Photodynamic Therapy Research Studies (1 paper), Metal-Organic Frameworks: Synthesis and Applications (1 paper), Antenna Design and Analysis (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (127 citations), Inorganic Chemistry (136 citations), Materials Chemistry (190 citations), Renewable Energy, Sustainability and the Environment (47 citations) and Process Chemistry and Technology (6 citations). N. Shan has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Weitao Zheng, Lingling Wang, Liang Yu, William Jones, Andrew D. Bond, Wojciech Ziarko, N. Cercone, Christine W. Chan, Aijun An and Shusaku Tsumoto. Their work appears in journals such as Dyes and Pigments, International Journal of Sensor Networks, Chemical Research in Chinese Universities, Noise & Vibration Worldwide and PubMed.
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.