Wanting Wang
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
Papers in
-
- Advanced Battery Materials and Technologies 3
- Perovskite Materials and Applications 3
- Advanced battery technologies research 3
- Oncology 6
- CAR-T cell therapy research 5
- Co-authors
- Muhammad Altaf Khan (2 shared papers)Xue Cao (1 shared paper)Tony N. Marion (1 shared paper)Yu Cao (1 shared paper)Yanwei Cheng (1 shared paper)Yuwei Pan (1 shared paper)Guangyu Wu (1 shared paper)Yizhen Zhang (1 shared paper)
- Journals
- Frontiers in Immunology (4 papers)Journal of Colloid and Interface Science (2 papers)Separation and Purification Technology (2 papers)Nature Communications (1 paper)Chaos Solitons & Fractals (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wanting Wang
35 papers receiving 498 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 98
- Numerical Analysis 27
- Immunology 72
- Water Science and Technology 41
- Applied Mathematics 31
Countries citing papers authored by Wanting Wang
This map shows the geographic impact of Wanting 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 Wanting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanting Wang more than expected).
Fields of papers citing papers by Wanting Wang
This network shows the impact of papers produced by Wanting 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 Wanting Wang. The network helps show where Wanting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanting 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2024 | 63 | |
| 3 | 2018 | 58 | |
| 4 | 2021 | 42 | |
| 5 | 2019 | 31 | |
| 6 | 2024 | 28 | |
| 7 | 2020 | 28 | |
| 8 | 2021 | 26 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 14 | |
| 12 | 2024 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 4 |
About Wanting Wang
Wanting Wang is a scholar working on Electrical and Electronic Engineering, Oncology, Renewable Energy, Sustainability and the Environment, Immunology and Biomedical Engineering, having authored 40 papers that have together received 502 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Advanced Photocatalysis Techniques (4 papers), Advanced Battery Materials and Technologies (3 papers), Perovskite Materials and Applications (3 papers), Advanced battery technologies research (3 papers), Supramolecular Chemistry and Complexes (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Numerical Analysis (27 citations), Immunology (72 citations), Water Science and Technology (41 citations) and Applied Mathematics (31 citations). Wanting Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Muhammad Altaf Khan, Xue Cao, Tony N. Marion, Yu Cao, Yanwei Cheng, Yuwei Pan, Guangyu Wu, Yizhen Zhang, Jin Li and Quan Cheng. Their work appears in journals such as Frontiers in Immunology, Journal of Colloid and Interface Science, Separation and Purification Technology, Nature Communications and Chaos Solitons & Fractals.
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.