Siming Wang
Impact in
- Organic Chemistry top 5%
- Multicomponent Synthesis of Heterocycles
- Carbohydrate Chemistry and Synthesis
- Synthesis and biological activity
- Synthetic Organic Chemistry Methods
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- IoT and Edge/Fog Computing
Papers in
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- Carbohydrate Chemistry and Synthesis 6
- Asymmetric Synthesis and Catalysis 3
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- IoT and Edge/Fog Computing 9
- Co-authors
- Xue‐Wei Liu (13 shared papers)Rong Yu (11 shared papers)Ronny William (7 shared papers)Xumin Huang (4 shared papers)Bala Kishan Gorityala (3 shared papers)Dongdong Ye (5 shared papers)Kalyan Kumar Pasunooti (3 shared papers)Feiqing Ding (4 shared papers)
In The Last Decade
Siming Wang
42 papers receiving 844 citations
Peers
Comparison fields: 5 of 86
- Organic Chemistry 419
- Computer Networks and Communications 257
- Information Systems 152
- Inorganic Chemistry 47
- Artificial Intelligence 108
Countries citing papers authored by Siming Wang
This map shows the geographic impact of Siming Wang'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 Siming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siming Wang more than expected).
Fields of papers citing papers by Siming Wang
This network shows the impact of papers produced by Siming Wang. 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 Siming Wang. The network helps show where Siming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Siming Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 118 | |
| 2 | 2022 | 81 | |
| 3 | 2020 | 76 | |
| 4 | 2018 | 73 | |
| 5 | 2012 | 57 | |
| 6 | 2014 | 41 | |
| 7 | 2010 | 40 | |
| 8 | 2016 | 39 | |
| 9 | 2011 | 32 | |
| 10 | 2005 | 29 | |
| 11 | 2013 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 2016 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2025 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2011 | 18 | |
| 18 | 2012 | 18 | |
| 19 | 2014 | 15 | |
| 20 | 2023 | 12 |
About Siming Wang
Siming Wang is a scholar working on Organic Chemistry, Computer Networks and Communications, Molecular Biology, Information Systems and Electrical and Electronic Engineering, having authored 47 papers that have together received 859 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Chemical Synthesis and Analysis (6 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Asymmetric Synthesis and Catalysis (3 papers). The work is most often cited by research in Organic Chemistry (419 citations), Computer Networks and Communications (257 citations), Information Systems (152 citations), Inorganic Chemistry (47 citations) and Artificial Intelligence (108 citations). Siming Wang has collaborated with scholars based in China, Singapore and Norway. Frequent co-authors include Xue‐Wei Liu, Rong Yu, Ronny William, Xumin Huang, Bala Kishan Gorityala, Dongdong Ye, Kalyan Kumar Pasunooti, Feiqing Ding, Hua Chai and Chantel Nixon Jensen. Their work appears in journals such as Angewandte Chemie International Edition, IEEE Transactions on Network Science and Engineering, Tetrahedron Letters, IEEE Internet of Things Journal 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.