Yaping Wang
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
-
- Carbon and Quantum Dots Applications 7
- Advanced Nanomaterials in Catalysis 3
- Luminescence and Fluorescent Materials 3
- Co-authors
- Danni Cheng (2 shared papers)Manhua Liu (2 shared papers)Kundong Wang (1 shared paper)Fangxia Guan (7 shared papers)Shanshan Ma (7 shared papers)Yuanbo Cui (6 shared papers)Jianliang Fu (1 shared paper)Ran Yang (3 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Organic Letters (2 papers)Progress in Neuro-Psychopharmacology and Biological Psychiatry (1 paper)Analytica Chimica Acta (1 paper)Molecules (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yaping Wang
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Neurology 254
- Energy Engineering and Power Technology 37
- Psychiatry and Mental health 127
- Health Information Management 41
- Catalysis 55
Countries citing papers authored by Yaping Wang
This map shows the geographic impact of Yaping 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 Yaping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaping Wang more than expected).
Fields of papers citing papers by Yaping Wang
This network shows the impact of papers produced by Yaping 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 Yaping Wang. The network helps show where Yaping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaping 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 315 | |
| 2 | 2021 | 119 | |
| 3 | 2017 | 68 | |
| 4 | 2019 | 55 | |
| 5 | 2013 | 51 | |
| 6 | 2012 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2018 | 41 | |
| 9 | 2017 | 34 | |
| 10 | 2013 | 29 | |
| 11 | 2019 | 28 | |
| 12 | 2019 | 22 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2023 | 21 | |
| 16 | 2016 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 2013 | 14 | |
| 20 | 2022 | 13 |
About Yaping Wang
Yaping Wang is a scholar working on Materials Chemistry, Molecular Biology, Organic Chemistry, Neurology and Immunology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (7 papers), Advanced Photocatalysis Techniques (3 papers), Immune cells in cancer (3 papers), Catalytic Cross-Coupling Reactions (3 papers), Brain Tumor Detection and Classification (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Luminescence and Fluorescent Materials (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Neurology (254 citations), Energy Engineering and Power Technology (37 citations), Psychiatry and Mental health (127 citations), Health Information Management (41 citations) and Catalysis (55 citations). Yaping Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Danni Cheng, Manhua Liu, Kundong Wang, Fangxia Guan, Shanshan Ma, Yuanbo Cui, Jianliang Fu, Ran Yang, Lingbo Qu and Hua‐jin Zeng. Their work appears in journals such as International Journal of Biological Macromolecules, Organic Letters, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Analytica Chimica Acta and Molecules.
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.