Qingyu Xiong
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 2%
- Automotive Engineering top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Min GaoShan LiangYang YuJunhao WenPenghua LiHualing YiKai WangShuaiyong Li
- Topics
- Recommender Systems and Techniques (23 papers)Flow Measurement and Analysis (17 papers)Neural Networks and Applications (12 papers)
- Partner nations
- ChinaSaudi ArabiaAustralia
In The Last Decade
Qingyu Xiong
135 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Electrical and Electronic Engineering 622
- Artificial Intelligence 576
- Automotive Engineering 379
- Information Systems 350
- Computer Networks and Communications 313
Countries citing papers authored by Qingyu Xiong
This map shows the geographic impact of Qingyu Xiong'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 Qingyu Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingyu Xiong more than expected).
Fields of papers citing papers by Qingyu Xiong
This network shows the impact of papers produced by Qingyu Xiong. 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 Qingyu Xiong. The network helps show where Qingyu Xiong may publish in the future.
Co-authorship network of co-authors of Qingyu Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Qingyu Xiong. A scholar is included among the top collaborators of Qingyu Xiong 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 Qingyu Xiong. Qingyu Xiong 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 | 6 | |
| 3 | 75 | |
| 4 | 18 | |
| 5 | 9 | |
| 6 | 28 | |
| 7 | 37 | |
| 8 | 26 | |
| 9 | 15 | |
| 10 | 32 | |
| 11 | 8 | |
| 12 | 11 | |
| 13 | 20 | |
| 14 | 34 | |
| 15 | An Shilling Attack Detection Algorithm Based on Popularity Degree Features | 12 |
| 16 | 1 | |
| 17 | Short-term load forecasting using hybrid quantized Elman neural model | 2 |
| 18 | Chaotic Vibration of Vehicle Suspension Excited by Consecutive Speed Control Hump | 3 |
| 19 | The influence of parameters of consecutive speed control humps ... | 7 |
| 20 | On Access Right:Also Concerning the Defects of Classification of Property Right of Copyright and Its Overcoming | 1 |
About Qingyu Xiong
Qingyu Xiong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 143 papers that have together received 2.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (23 papers), Flow Measurement and Analysis (17 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Automotive Engineering (379 citations), Artificial Intelligence (576 citations) and Environmental Engineering (233 citations). Qingyu Xiong has collaborated with scholars based in China, Saudi Arabia and Australia. Frequent co-authors include Min Gao, Shan Liang, Yang Yu, Junhao Wen, Penghua Li, Hualing Yi, Kai Wang, Shuaiyong Li, Zijian Zhang and Jie Hou. Their work appears in journals such as PLoS ONE, Water Research and Journal of Power Sources.
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.