Fangling Yang
Impact in
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- Crystallography and molecular interactions
Papers in
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- Machine Learning in Materials Science 3
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- Asymmetric Synthesis and Catalysis 4
- Co-authors
- Panpan Zhou (16 shared papers)Chaoxian Yan (9 shared papers)Hao Li (5 shared papers)Ryuhei Sato (4 shared papers)Kazuaki Kisu (4 shared papers)Shin‐ichi Orimo (4 shared papers)Xing Yang (8 shared papers)Bingjie Yang (1 shared paper)
- Journals
- New Journal of Chemistry (5 papers)Organic Chemistry Frontiers (4 papers)Vacuum (2 papers)Journal of Physics and Chemistry of Solids (2 papers)Journal of Nuclear Materials (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Fangling Yang
29 papers receiving 327 citations
Peers
Comparison fields: 5 of 60
- Physical and Theoretical Chemistry 48
- Inorganic Chemistry 59
- Renewable Energy, Sustainability and the Environment 62
- Process Chemistry and Technology 9
- Materials Chemistry 135
Countries citing papers authored by Fangling Yang
This map shows the geographic impact of Fangling Yang'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 Fangling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangling Yang more than expected).
Fields of papers citing papers by Fangling Yang
This network shows the impact of papers produced by Fangling Yang. 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 Fangling Yang. The network helps show where Fangling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangling Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2023 | 37 | |
| 3 | 2020 | 25 | |
| 4 | 2024 | 20 | |
| 5 | 2018 | 20 | |
| 6 | 2025 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 3 |
About Fangling Yang
Fangling Yang is a scholar working on Materials Chemistry, Organic Chemistry, Electrical and Electronic Engineering, Physical and Theoretical Chemistry and Mechanics of Materials, having authored 33 papers that have together received 338 indexed citations. Recurring topics across this work include Crystallography and molecular interactions (6 papers), Asymmetric Synthesis and Catalysis (4 papers), Fluorine in Organic Chemistry (3 papers), Advancements in Battery Materials (3 papers), Energetic Materials and Combustion (3 papers), Advanced Battery Materials and Technologies (3 papers), CO2 Reduction Techniques and Catalysts (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (48 citations), Inorganic Chemistry (59 citations), Renewable Energy, Sustainability and the Environment (62 citations), Process Chemistry and Technology (9 citations) and Materials Chemistry (135 citations). Fangling Yang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Panpan Zhou, Chaoxian Yan, Hao Li, Ryuhei Sato, Kazuaki Kisu, Shin‐ichi Orimo, Xing Yang, Bingjie Yang, Bing Wang and Ka Lu. Their work appears in journals such as New Journal of Chemistry, Organic Chemistry Frontiers, Vacuum, Journal of Physics and Chemistry of Solids and Journal of Nuclear Materials.
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.