Xiaofei Zhu
- Artificial Intelligence top 5%
- Information Systems top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Jiafeng GuoStefan DietzeXueqi ChengMihai GéorgescuShouming ZhongWanping LiuWolfgang NejdlGu Xu
- Topics
- Topic Modeling (11 papers)Sentiment Analysis and Opinion Mining (7 papers)Recommender Systems and Techniques (6 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiaofei Zhu
51 papers receiving 625 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 249
- Information Systems 156
- Statistical and Nonlinear Physics 143
- Computer Vision and Pattern Recognition 115
- Sociology and Political Science 80
Countries citing papers authored by Xiaofei Zhu
This map shows the geographic impact of Xiaofei Zhu'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 Xiaofei Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Zhu more than expected).
Fields of papers citing papers by Xiaofei Zhu
This network shows the impact of papers produced by Xiaofei Zhu. 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 Xiaofei Zhu. The network helps show where Xiaofei Zhu may publish in the future.
Co-authorship network of co-authors of Xiaofei Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Zhu. A scholar is included among the top collaborators of Xiaofei Zhu 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 Xiaofei Zhu. Xiaofei Zhu 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 | 4 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 23 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | L3S at MediaEval 2013 Crowdsourcing for Social Multimedia Task. | 1 |
| 18 | Design of the Transactions Editorial Platform Based on B/S Mode | 0 |
| 19 | Design of data acquisition system for12-electrode electrical capacitance tomography | 1 |
| 20 | The Application of IOCP in the P2P Network Game | 2 |
About Xiaofei Zhu
Xiaofei Zhu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 647 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (7 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (143 citations), Artificial Intelligence (249 citations) and Information Systems (156 citations). Xiaofei Zhu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jiafeng Guo, Stefan Dietze, Xueqi Cheng, Mihai Géorgescu, Shouming Zhong, Wanping Liu, Wolfgang Nejdl, Gu Xu, Shangsong Liang and Jue Wang. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.
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.