Linkai Wang
Impact in
- Process Chemistry and Technology top 10%
- Carbon dioxide utilization in catalysis
- Catalysis top 10%
- Catalysts for Methane Reforming
- Catalysis and Oxidation Reactions
Papers in
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- Plant Reproductive Biology 4
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- Advanced Memory and Neural Computing 3
- Co-authors
- Jian Sun (4 shared papers)Qingjie Ge (2 shared papers)Ke Ji (5 shared papers)Qiling Song (5 shared papers)Yu Han (2 shared papers)Wenfang Gong (5 shared papers)Jiafeng Yu (3 shared papers)Jian Wei (1 shared paper)
- Journals
- Journal of Craniofacial Surgery (4 papers)Benchmarking An International Journal (1 paper)IEEE Signal Processing Letters (1 paper)Applied Catalysis B: Environmental (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Linkai Wang
28 papers receiving 372 citations
Peers
Comparison fields: 5 of 95
- Process Chemistry and Technology 46
- Catalysis 102
- Biochemistry 17
- Renewable Energy, Sustainability and the Environment 37
- Biochemistry 12
Countries citing papers authored by Linkai Wang
This map shows the geographic impact of Linkai 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 Linkai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linkai Wang more than expected).
Fields of papers citing papers by Linkai Wang
This network shows the impact of papers produced by Linkai 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 Linkai Wang. The network helps show where Linkai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linkai 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2023 | 53 | |
| 3 | 2023 | 39 | |
| 4 | 2022 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2017 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2019 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2013 | 16 | |
| 11 | 2012 | 14 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2010 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 2 |
About Linkai Wang
Linkai Wang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Pathology and Forensic Medicine, Catalysis and Plant Science, having authored 31 papers that have together received 379 indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (4 papers), Plant Reproductive Biology (4 papers), Catalysts for Methane Reforming (4 papers), Plant Molecular Biology Research (3 papers), Advanced Memory and Neural Computing (3 papers), Trigeminal Neuralgia and Treatments (3 papers), Neuroscience and Neural Engineering (2 papers) and Carbon dioxide utilization in catalysis (2 papers). The work is most often cited by research in Process Chemistry and Technology (46 citations), Catalysis (102 citations), Biochemistry (17 citations), Renewable Energy, Sustainability and the Environment (37 citations) and Biochemistry (12 citations). Linkai Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jian Sun, Qingjie Ge, Ke Ji, Qiling Song, Yu Han, Wenfang Gong, Jiafeng Yu, Jian Wei, Shijian Lu and Yanpeng Mao. Their work appears in journals such as Journal of Craniofacial Surgery, Benchmarking An International Journal, IEEE Signal Processing Letters, Applied Catalysis B: Environmental and BMJ Open.
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.