Wanting Yu
Impact in
- Water Science and Technology top 5%
- Adsorption and biosorption for pollutant removal
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
- Co-authors
- Liyuan Chai (16 shared papers)Haiying Wang (15 shared papers)Liyuan Zhang (11 shared papers)Jiexi Wang (3 shared papers)Liyuan Zhang (3 shared papers)Zhen Su (5 shared papers)Shuo Dai (3 shared papers)Liqiang Mai (1 shared paper)
- Journals
- Journal of Integrative Agriculture (3 papers)Veterinary Sciences (3 papers)International Journal of Biological Macromolecules (3 papers)Information Processing & Management (2 papers)RSC Advances (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Wanting Yu
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Water Science and Technology 321
- Animal Science and Zoology 126
- Polymers and Plastics 160
- Electronic, Optical and Magnetic Materials 157
- Biomaterials 105
Countries citing papers authored by Wanting Yu
This map shows the geographic impact of Wanting Yu'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 Wanting Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Yu more than expected).
Fields of papers citing papers by Wanting Yu
This network shows the impact of papers produced by Wanting Yu. 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 Wanting Yu. The network helps show where Wanting Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting Yu, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 198 | |
| 2 | 2015 | 132 | |
| 3 | 2014 | 119 | |
| 4 | 2013 | 102 | |
| 5 | 2011 | 78 | |
| 6 | 2012 | 63 | |
| 7 | 2013 | 44 | |
| 8 | 2020 | 43 | |
| 9 | 2023 | 41 | |
| 10 | 2022 | 38 | |
| 11 | 2014 | 32 | |
| 12 | 2014 | 31 | |
| 13 | 2021 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2016 | 28 | |
| 16 | 2016 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2023 | 27 | |
| 19 | 2022 | 22 | |
| 20 | 2013 | 22 |
About Wanting Yu
Wanting Yu is a scholar working on Molecular Biology, Biomedical Engineering, Animal Science and Zoology, Artificial Intelligence and Electrical and Electronic Engineering, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (10 papers), Virus-based gene therapy research (9 papers), Conducting polymers and applications (8 papers), Topic Modeling (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Covalent Organic Framework Applications (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Water Science and Technology (321 citations), Animal Science and Zoology (126 citations), Polymers and Plastics (160 citations), Electronic, Optical and Magnetic Materials (157 citations) and Biomaterials (105 citations). Wanting Yu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Liyuan Chai, Haiying Wang, Liyuan Zhang, Jiexi Wang, Liyuan Zhang, Zhen Su, Shuo Dai, Liqiang Mai, Yi Yang and Ting Wang. Their work appears in journals such as Journal of Integrative Agriculture, Veterinary Sciences, International Journal of Biological Macromolecules, Information Processing & Management and RSC Advances.
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.