Changqiang Huang
- Aerospace Engineering top 5%
- Guidance and Control Systems 15
- Military Defense Systems Analysis 10
- Aerospace and Aviation Technology 5
- Robotics and Sensor-Based Localization 3
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 5
- Evolutionary Algorithms and Applications 3
- Target Tracking and Data Fusion in Sensor Networks 3
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- Advanced Decision-Making Techniques 3
- Co-authors
- Zhuoran ZhangShangqin TangBo HanHanqiao HuangLei LeiHuan ZhouYuan WangZhenglei Wei
- Journals
- IEEE Access (3 papers)Complex & Intelligent Systems (2 papers)Separation and Purification Technology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Changqiang Huang
26 papers receiving 383 citations
Peers
Comparison fields: 5 of 58
- Aerospace Engineering 218
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 82
- Automotive Engineering 37
- Control and Systems Engineering 46
Countries citing papers authored by Changqiang Huang
This map shows the geographic impact of Changqiang Huang'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 Changqiang Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changqiang Huang more than expected).
Fields of papers citing papers by Changqiang Huang
This network shows the impact of papers produced by Changqiang Huang. 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 Changqiang Huang. The network helps show where Changqiang Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changqiang Huang, 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 | 2024 | 6 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2019 | 26 | |
| 10 | 2019 | 55 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 4 | |
| 14 | 2018 | 32 | |
| 15 | 2018 | 24 | |
| 16 | 2018 | 1 | |
| 17 | 2014 | 1 | |
| 18 | A Synthesized Tactical Gray-rough Decision-making Method for UCAV Based on Extended Incomplete Information | 2010 | 0 |
| 19 | 2007 | 3 | |
| 20 | The Study on Calculating Method of Kill Probability for the Missile with the Discrete Rod Warhead | 2003 | 1 |
About Changqiang Huang
Changqiang Huang is a scholar working on Aerospace Engineering, Artificial Intelligence and Numerical Analysis, having authored 27 papers that have together received 390 indexed citations. Recurring topics across this work include Guidance and Control Systems (15 papers), Military Defense Systems Analysis (10 papers), Metaheuristic Optimization Algorithms Research (5 papers), Aerospace and Aviation Technology (5 papers), Advanced Decision-Making Techniques (3 papers), Evolutionary Algorithms and Applications (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Aerospace Engineering (218 citations), Artificial Intelligence (183 citations) and Computer Vision and Pattern Recognition (82 citations). Changqiang Huang has collaborated with scholars based in China and United States. Frequent co-authors include Zhuoran Zhang, Shangqin Tang, Bo Han, Hanqiao Huang, Lei Lei, Huan Zhou, Yuan Wang, Zhenglei Wei, Xiaofei Wang and Yintong Li. Their work appears in journals such as IEEE Access, Complex & Intelligent Systems, Separation and Purification Technology, Applied Sciences and Soft Computing.
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.