Hua Xu
- Artificial Intelligence top 0.2%
- Computational Theory and Mathematics top 0.5%
- Information Systems top 1%
- Industrial and Manufacturing Engineering top 1%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Yuan YuanBo WangXin YaoWenmeng YuZiqi YuanJiele WuPeifa JiaDongwen Zhang
- Topics
- Sentiment Analysis and Opinion Mining (41 papers)Advanced Text Analysis Techniques (32 papers)Topic Modeling (29 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPattern Recognition
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Xu
135 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 3.3k
- Computational Theory and Mathematics 1.1k
- Information Systems 541
- Industrial and Manufacturing Engineering 477
- Experimental and Cognitive Psychology 467
Countries citing papers authored by Hua Xu
This map shows the geographic impact of Hua Xu'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 Hua Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Xu more than expected).
Fields of papers citing papers by Hua Xu
This network shows the impact of papers produced by Hua Xu. 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 Hua Xu. The network helps show where Hua Xu may publish in the future.
Co-authorship network of co-authors of Hua Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Xu. A scholar is included among the top collaborators of Hua Xu 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 Hua Xu. Hua Xu 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 31 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 34 | |
| 15 | 220 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 76 | |
| 20 | 2 |
About Hua Xu
Hua Xu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture, having authored 142 papers that have together received 4.8k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (41 papers), Advanced Text Analysis Techniques (32 papers) and Topic Modeling (29 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Computational Theory and Mathematics (1.1k citations) and Industrial and Manufacturing Engineering (477 citations). Hua Xu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuan Yuan, Bo Wang, Xin Yao, Wenmeng Yu, Ziqi Yuan, Jiele Wu, Peifa Jia, Dongwen Zhang, Kai Gao and Zhongwu Zhai. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.
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.