Qili Wang
Impact in
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- Stock Market Forecasting Methods
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Lipid Membrane Structure and Behavior 6
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- Fiber-reinforced polymer composites 5
- Aluminum Alloys Composites Properties 4
- Co-authors
- Wei Xu (8 shared papers)Xinwei Zhang (1 shared paper)Nicolas Vitale (10 shared papers)Émeline Tanguy (8 shared papers)Hervé Moine (1 shared paper)Runyu Chen (2 shared papers)Han Zheng (1 shared paper)Xinting Huang (1 shared paper)
- Journals
- Information Systems Research (3 papers)Advances in Biological Regulation (2 papers)Neurocomputing (2 papers)Advanced Composites Letters (2 papers)Journal of Immunology Research (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Qili Wang
51 papers receiving 815 citations
Peers
Comparison fields: 5 of 144
- Management Science and Operations Research 109
- Artificial Intelligence 250
- Accounting 85
- Cell Biology 99
- Finance 48
Countries citing papers authored by Qili Wang
This map shows the geographic impact of Qili 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 Qili Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qili Wang more than expected).
Fields of papers citing papers by Qili Wang
This network shows the impact of papers produced by Qili 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 Qili Wang. The network helps show where Qili Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qili 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 195 | |
| 2 | 2019 | 96 | |
| 3 | 2018 | 59 | |
| 4 | 2019 | 59 | |
| 5 | 2016 | 42 | |
| 6 | 2019 | 34 | |
| 7 | 2014 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2020 | 23 | |
| 11 | 2021 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2018 | 17 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2025 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 8 |
About Qili Wang
Qili Wang is a scholar working on Molecular Biology, Mechanical Engineering, Cell Biology, Sociology and Political Science and Mechanics of Materials, having authored 57 papers that have together received 836 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (6 papers), Digital Marketing and Social Media (5 papers), Fiber-reinforced polymer composites (5 papers), Aluminum Alloys Composites Properties (4 papers), Graphite, nuclear technology, radiation studies (3 papers), Stock Market Forecasting Methods (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Management Science and Operations Research (109 citations), Artificial Intelligence (250 citations), Accounting (85 citations), Cell Biology (99 citations) and Finance (48 citations). Qili Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Wei Xu, Xinwei Zhang, Nicolas Vitale, Émeline Tanguy, Hervé Moine, Runyu Chen, Han Zheng, Xinting Huang, Sylvette Chasserot‐Golaz and Liangfei Qiu. Their work appears in journals such as Information Systems Research, Advances in Biological Regulation, Neurocomputing, Advanced Composites Letters and Journal of Immunology Research.
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.