Xiaolong Xie
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Mechanical Engineering
- Organic Chemistry
- Co-authors
- Shisheng ZhongLin LinFang WangLiying TanJing MaBin LuoFeng GuoQingtang Zhang
- Topics
- Optical Wireless Communication Technologies (6 papers)Neural Networks and Applications (6 papers)Advancements in Semiconductor Devices and Circuit Design (3 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchElectrical and Electronic Engineering
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Xiaolong Xie
31 papers receiving 464 citations
Peers
Comparison fields: 5 of 107
- Electrical and Electronic Engineering 187
- Artificial Intelligence 164
- Control and Systems Engineering 47
- Mechanical Engineering 46
- Organic Chemistry 43
Countries citing papers authored by Xiaolong Xie
This map shows the geographic impact of Xiaolong Xie'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 Xiaolong Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Xie more than expected).
Fields of papers citing papers by Xiaolong Xie
This network shows the impact of papers produced by Xiaolong Xie. 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 Xiaolong Xie. The network helps show where Xiaolong Xie may publish in the future.
Co-authorship network of co-authors of Xiaolong Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Xie. A scholar is included among the top collaborators of Xiaolong Xie 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 Xiaolong Xie. Xiaolong Xie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 20 | |
| 9 | 21 | |
| 10 | 9 | |
| 11 | 81 | |
| 12 | 3 | |
| 13 | 103 | |
| 14 | 15 | |
| 15 | 19 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | 27 | |
| 20 | A Type Design Method of Large Hydraulic Turbine Based on The Gaussian Mixture Model | 2 |
About Xiaolong Xie
Xiaolong Xie is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 34 papers that have together received 479 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (6 papers), Neural Networks and Applications (6 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Artificial Intelligence (164 citations), Management Science and Operations Research (42 citations) and Electrical and Electronic Engineering (187 citations). Xiaolong Xie has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Shisheng Zhong, Lin Lin, Fang Wang, Fang Wang, Lin Lin, Liying Tan, Jing Ma, Bin Luo, Feng Guo and Qingtang Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, Polymer and Expert Systems with Applications.
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.