Jiaqiang Wang
- Building and Construction top 2%
- Building Energy and Comfort Optimization 22
- Mechanical Engineering top 5%
- Heat Transfer and Optimization 17
- Heat Transfer and Boiling Studies 9
- Environmental Engineering top 10%
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- Integrated Energy Systems Optimization 6
- Smart Grid Energy Management 5
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- Robotics and Sensor-Based Localization 5
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- Water Systems and Optimization 4
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- Probabilistic and Robust Engineering Design 4
- Co-authors
- Sungmin YoonChang YueYuebin YuQuan ZhangZhiqiang LiuYawovi Souley AgbodjanSikai ZouFulong Ning
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Cleaner Production (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jiaqiang Wang
59 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Energy Engineering and Power Technology 71
- Building and Construction 295
- Mechanical Engineering 397
- Environmental Engineering 115
- Renewable Energy, Sustainability and the Environment 125
Countries citing papers authored by Jiaqiang Wang
This map shows the geographic impact of Jiaqiang 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 Jiaqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaqiang Wang more than expected).
Fields of papers citing papers by Jiaqiang Wang
This network shows the impact of papers produced by Jiaqiang 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 Jiaqiang Wang. The network helps show where Jiaqiang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiaqiang 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 | 4 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 17 | |
| 16 | 2023 | 21 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 17 | |
| 19 | 2018 | 37 | |
| 20 | Variational bayes learning for models with linear equality constraints | 2013 | 1 |
About Jiaqiang Wang
Jiaqiang Wang is a scholar working on Building and Construction, Energy Engineering and Power Technology and Mechanical Engineering, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (22 papers), Heat Transfer and Optimization (17 papers), Heat Transfer and Boiling Studies (9 papers), Integrated Energy Systems Optimization (6 papers), Smart Grid Energy Management (5 papers), Robotics and Sensor-Based Localization (5 papers), Water Systems and Optimization (4 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (71 citations), Building and Construction (295 citations) and Mechanical Engineering (397 citations). Jiaqiang Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Sungmin Yoon, Chang Yue, Yuebin Yu, Quan Zhang, Zhiqiang Liu, Yawovi Souley Agbodjan, Sikai Zou, Fulong Ning, Guodong Cui and Liping Zeng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Scientific Reports.
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.