Jun Liang
- Process Chemistry and Technology top 0.1%
- Carbon dioxide utilization in catalysis 13
- Inorganic Chemistry top 0.2%
- Metal-Organic Frameworks: Synthesis and Applications 53
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- CO2 Reduction Techniques and Catalysts 9
- Materials Chemistry top 1%
- Covalent Organic Framework Applications 34
- Catalysis top 2%
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- Advanced Chemical Physics Studies 13
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- Chemical Synthesis and Reactions 9
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- Atmospheric Ozone and Climate 9
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- Spectroscopy and Laser Applications 9
- Cited by
- Process Chemistry and TechnologyInorganic ChemistryRenewable Energy, Sustainability and the Environment
- Journals
- Journal of the American Chemical Society (2 papers)Chemical Society Reviews (2 papers)Angewandte Chemie International Edition (6 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jun Liang
131 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Process Chemistry and Technology 1.4k
- Inorganic Chemistry 4.1k
- Renewable Energy, Sustainability and the Environment 2.0k
- Materials Chemistry 3.8k
- Catalysis 536
Countries citing papers authored by Jun Liang
This map shows the geographic impact of Jun Liang'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 Jun Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liang more than expected).
Fields of papers citing papers by Jun Liang
This network shows the impact of papers produced by Jun Liang. 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 Jun Liang. The network helps show where Jun Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Liang, 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 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 15 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 28 | |
| 7 | Thermo-, Electro-, and Photocatalytic CO2 Conversion to Value-Added Products over Porous Metal/Covalent Organic Frameworksbreakdown → | 2022 | 226 |
| 8 | 2022 | 27 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 39 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 127 | |
| 14 | 2020 | 139 | |
| 15 | 2020 | 16 | |
| 16 | 2019 | 28 | |
| 17 | 2019 | 29 | |
| 18 | 2018 | 7 | |
| 19 | 2018 | 95 | |
| 20 | 2017 | 161 |
About Jun Liang
Jun Liang is a scholar working on Process Chemistry and Technology, Inorganic Chemistry and Materials Chemistry, having authored 134 papers that have together received 7.5k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (53 papers), Covalent Organic Framework Applications (34 papers), Carbon dioxide utilization in catalysis (13 papers), Advanced Chemical Physics Studies (13 papers), CO2 Reduction Techniques and Catalysts (9 papers), Chemical Synthesis and Reactions (9 papers), Atmospheric Ozone and Climate (9 papers) and Spectroscopy and Laser Applications (9 papers). The work is most often cited by research in Process Chemistry and Technology (1.4k citations), Inorganic Chemistry (4.1k citations) and Renewable Energy, Sustainability and the Environment (2.0k citations). Jun Liang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Rong Cao, Yuan‐Biao Huang, Xusheng Wang, Taotao Liu, Yaqiang Xie, Qiu‐Jin Wu, Christoph Janiak, Lan Li, Xiuyun Wang and Qiao Wu. Their work appears in journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.
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.