Jian Yao
- Polymers and Plastics top 10%
- Inorganic Chemistry top 10%
- Materials Chemistry top 10%
- Polyoxometalates: Synthesis and Applications 13
- Carbon Nanotubes in Composites 5
- Graphene research and applications 5
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods 7
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- Air Quality and Health Impacts 8
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- Atmospheric chemistry and aerosols 12
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- Advanced Memory and Neural Computing 8
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- Radiomics and Machine Learning in Medical Imaging 5
In The Last Decade
Jian Yao
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Polymers and Plastics 141
- Inorganic Chemistry 139
- Materials Chemistry 460
- Organic Chemistry 234
- Health, Toxicology and Mutagenesis 96
Countries citing papers authored by Jian Yao
This map shows the geographic impact of Jian Yao'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 Jian Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Yao more than expected).
Fields of papers citing papers by Jian Yao
This network shows the impact of papers produced by Jian Yao. 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 Jian Yao. The network helps show where Jian Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian Yao, 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 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 24 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 46 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 85 | |
| 13 | 2021 | 35 | |
| 14 | 2019 | 39 | |
| 15 | 2017 | 7 | |
| 16 | [Size distribution of carbonaceous particulate matter in atmosphere of Shanghai, China]. | 2013 | 1 |
| 17 | [Size distributions of organic carbon (OC) and elemental carbon (EC) in Shanghai atmospheric particles]. | 2010 | 2 |
| 18 | Characterization of major water-soluble ions in size-fractionated particulate matters in Shanghai | 2010 | 2 |
| 19 | Extraction and analysis of total flavonoids from roots of cultivated Glycyrrhiza pallidiflora | 2006 | 2 |
| 20 | Chemical constituents of essential oil from Forsythia suspensa (Thunb.) Vahl | 2001 | 1 |
About Jian Yao
Jian Yao is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Polymers and Plastics, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Polyoxometalates: Synthesis and Applications (13 papers), Atmospheric chemistry and aerosols (12 papers), Air Quality and Health Impacts (8 papers), Advanced Memory and Neural Computing (8 papers), Catalytic C–H Functionalization Methods (7 papers), Carbon Nanotubes in Composites (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Graphene research and applications (5 papers). The work is most often cited by research in Polymers and Plastics (141 citations), Inorganic Chemistry (139 citations) and Materials Chemistry (460 citations). Jian Yao has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Tierui Zhang, Ran Lu, Ying Zhao, Tie Jin Li, Wei Feng, Xiaowei Dou, Qingwen Li, Tao Lu, Na Liu and Song Qiu. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials 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.