Jiangtao Qi
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- stochastic dynamics and bifurcation 8
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- Neural Networks Stability and Synchronization 10
- Artificial Intelligence top 10%
- Topic Modeling 8
- Sentiment Analysis and Opinion Mining 4
- Advanced Text Analysis Techniques 4
- Neural Networks and Applications 3
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- Advanced Memory and Neural Computing 3
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- Multimodal Machine Learning Applications 3
- Co-authors
- Tingwen HuangChuandong LiWei ZhangPeiyu LiuWen-Ling WangGuangyuan ZhangZhenfang ZhuLin Li
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Partner nations
- ChinaQatarUnited States
In The Last Decade
Jiangtao Qi
22 papers receiving 343 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 142
- Computer Networks and Communications 216
- Artificial Intelligence 150
- Control and Systems Engineering 36
- Electrical and Electronic Engineering 74
Countries citing papers authored by Jiangtao Qi
This map shows the geographic impact of Jiangtao Qi'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 Jiangtao Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangtao Qi more than expected).
Fields of papers citing papers by Jiangtao Qi
This network shows the impact of papers produced by Jiangtao Qi. 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 Jiangtao Qi. The network helps show where Jiangtao Qi may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Jiangtao Qi, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 57 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 23 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2015 | 16 | |
| 18 | 2014 | 43 | |
| 19 | 2014 | 20 | |
| 20 | Positioning method of variable rate fertilizer applicator based on sensors. | 2009 | 6 |
About Jiangtao Qi
Jiangtao Qi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 23 papers that have together received 346 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (10 papers), Topic Modeling (8 papers), stochastic dynamics and bifurcation (8 papers), Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (4 papers), Neural Networks and Applications (3 papers), Advanced Memory and Neural Computing (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (142 citations), Computer Networks and Communications (216 citations) and Artificial Intelligence (150 citations). Jiangtao Qi has collaborated with scholars based in China, Qatar and United States. Frequent co-authors include Tingwen Huang, Chuandong Li, Wei Zhang, Peiyu Liu, Wen-Ling Wang, Guangyuan Zhang, Zhenfang Zhu, Wei Zhang, Lin Li and Wei Zhang. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Neurocomputing.
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.