Aijuan Wang
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- Distributed Control Multi-Agent Systems 13
- Neural Networks Stability and Synchronization 12
- Nonlinear Dynamics and Pattern Formation 3
- Energy Efficient Wireless Sensor Networks 3
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- Adaptive Control of Nonlinear Systems 3
- Soil Science top 10%
- Soil erosion and sediment transport 6
- Soil Carbon and Nitrogen Dynamics 3
- Automotive Engineering top 10%
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- Advanced Memory and Neural Computing 3
- Journals
- Materials Science and Engineering A (1 paper)Expert Systems with Applications (1 paper)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Aijuan Wang
40 papers receiving 859 citations
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 446
- Control and Systems Engineering 230
- Soil Science 73
- Statistical and Nonlinear Physics 90
- Automotive Engineering 83
Countries citing papers authored by Aijuan Wang
This map shows the geographic impact of Aijuan 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 Aijuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijuan Wang more than expected).
Fields of papers citing papers by Aijuan Wang
This network shows the impact of papers produced by Aijuan 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 Aijuan Wang. The network helps show where Aijuan Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aijuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 20 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 48 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 42 | |
| 16 | 2019 | 48 | |
| 17 | 2018 | 30 | |
| 18 | 2017 | 27 | |
| 19 | Study on Rill Erosion Parameters of Purple Soil in the Physical Erosion Model | 2016 | 1 |
| 20 | Occurrence regularity and prediction model of underground pest adults in Hangzhou district of China. | 2013 | 0 |
About Aijuan Wang
Aijuan Wang is a scholar working on Computer Networks and Communications, Soil Science and Control and Systems Engineering, having authored 42 papers that have together received 880 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (13 papers), Neural Networks Stability and Synchronization (12 papers), Soil erosion and sediment transport (6 papers), Adaptive Control of Nonlinear Systems (3 papers), Advanced Memory and Neural Computing (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (446 citations), Control and Systems Engineering (230 citations) and Soil Science (73 citations). Aijuan Wang has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Tao Dong, Xiaofeng Liao, Xiaofeng Liao, Xiaofeng Liao, Haibo He, Wanping Liu, Tingwen Huang, Yu‐peng Lu, Ruixue Sun and Jianwei Tan. Their work appears in journals such as Materials Science and Engineering A, Expert Systems with Applications and IEEE Access.
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.