Hanqing Hu
- Artificial Intelligence top 5%
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- Mehmed KantardzicHuiling ChenChangcheng HuangXuehua ZhaoAli Asghar HeidariMingjing WangTegjyot Singh SethiMa Yu
- Topics
- Data Stream Mining Techniques (7 papers)Anomaly Detection Techniques and Applications (5 papers)Machine Learning and Data Classification (4 papers)
- Cited by
- Artificial IntelligenceRenewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power Technology
- Journals
- IEEE AccessEnergySustainability
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Hanqing Hu
28 papers receiving 380 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 266
- Renewable Energy, Sustainability and the Environment 112
- Electrical and Electronic Engineering 61
- Computational Theory and Mathematics 39
- Computer Networks and Communications 30
Countries citing papers authored by Hanqing Hu
This map shows the geographic impact of Hanqing Hu'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 Hanqing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanqing Hu more than expected).
Fields of papers citing papers by Hanqing Hu
This network shows the impact of papers produced by Hanqing Hu. 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 Hanqing Hu. The network helps show where Hanqing Hu may publish in the future.
Co-authorship network of co-authors of Hanqing Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Hanqing Hu. A scholar is included among the top collaborators of Hanqing Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanqing Hu. Hanqing Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 210 | |
| 12 | 1 | |
| 13 | 72 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
About Hanqing Hu
Hanqing Hu is a scholar working on Horticulture, Business and International Management and Artificial Intelligence, having authored 32 papers that have together received 392 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Artificial Intelligence (266 citations), Renewable Energy, Sustainability and the Environment (112 citations) and Energy Engineering and Power Technology (9 citations). Hanqing Hu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Mehmed Kantardzic, Huiling Chen, Changcheng Huang, Xuehua Zhao, Ali Asghar Heidari, Mingjing Wang, Tegjyot Singh Sethi, Ma Yu, Shuicheng Yan and Weichao Gao. Their work appears in journals such as IEEE Access, Energy and Sustainability.
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.