Qinglong Wang
Impact in
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays
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- CAR-T cell therapy research
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 20
- Co-authors
- Zhijun Liu (15 shared papers)Xiaoying Sun (6 shared papers)Wenbo Wang (4 shared papers)Zhipeng Huang (3 shared papers)Xiangshi Ren (3 shared papers)Ying Liu (2 shared papers)Tao Zhang (2 shared papers)Shixiu Feng (4 shared papers)
- Journals
- Blood (4 papers)Mathematical Biosciences & Engineering (4 papers)Chaos Solitons & Fractals (3 papers)Advances in Difference Equations (2 papers)International Journal of Biomathematics (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qinglong Wang
57 papers receiving 677 citations
Peers
Comparison fields: 5 of 111
- Human-Computer Interaction 60
- Oncology 151
- Modeling and Simulation 25
- Orthopedics and Sports Medicine 42
- Cognitive Neuroscience 91
Countries citing papers authored by Qinglong Wang
This map shows the geographic impact of Qinglong 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 Qinglong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinglong Wang more than expected).
Fields of papers citing papers by Qinglong Wang
This network shows the impact of papers produced by Qinglong 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 Qinglong Wang. The network helps show where Qinglong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinglong 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 91 | |
| 2 | 2019 | 44 | |
| 3 | 2023 | 43 | |
| 4 | 2014 | 36 | |
| 5 | 2016 | 31 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2022 | 25 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2015 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2023 | 12 |
About Qinglong Wang
Qinglong Wang is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Applied Mathematics and Cognitive Neuroscience, having authored 63 papers that have together received 687 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Evolution and Genetic Dynamics (9 papers), Nonlinear Differential Equations Analysis (8 papers), CAR-T cell therapy research (7 papers), Tactile and Sensory Interactions (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Interactive and Immersive Displays (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Human-Computer Interaction (60 citations), Oncology (151 citations), Modeling and Simulation (25 citations), Orthopedics and Sports Medicine (42 citations) and Cognitive Neuroscience (91 citations). Qinglong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhijun Liu, Xiaoying Sun, Wenbo Wang, Zhipeng Huang, Xiangshi Ren, Ying Liu, Tao Zhang, Shixiu Feng, Zhipeng Huang and Jianqiang Li. Their work appears in journals such as Blood, Mathematical Biosciences & Engineering, Chaos Solitons & Fractals, Advances in Difference Equations and International Journal of Biomathematics.
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.