Xiaokai Wei
Impact in
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- Complex Network Analysis Techniques
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Domain Adaptation and Few-Shot Learning
Papers in
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- Advanced Graph Neural Networks 23
- Topic Modeling 8
- Text and Document Classification Technologies 6
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 3
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- Complex Network Analysis Techniques 17
- Co-authors
- Philip S. Yu (27 shared papers)Linchuan Xu (13 shared papers)Jiannong Cao (12 shared papers)Bokai Cao (7 shared papers)Zhiyuan Chen (1 shared paper)Huayi Li (1 shared paper)Jidong Shao (1 shared paper)Bing Liu (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Optics Express (1 paper)Sensors (1 paper)Computer Networks (1 paper)International Journal of Data Science and Analytics (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Xiaokai Wei
34 papers receiving 671 citations
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 225
- Artificial Intelligence 553
- Information Systems 190
- Computer Vision and Pattern Recognition 121
- Computational Mathematics 3
Countries citing papers authored by Xiaokai Wei
This map shows the geographic impact of Xiaokai Wei'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 Xiaokai Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaokai Wei more than expected).
Fields of papers citing papers by Xiaokai Wei
This network shows the impact of papers produced by Xiaokai Wei. 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 Xiaokai Wei. The network helps show where Xiaokai Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaokai Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2014 | 109 | |
| 3 | 2017 | 99 | |
| 4 | 2021 | 55 | |
| 5 | 2017 | 50 | |
| 6 | 2018 | 21 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2018 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2018 | 13 | |
| 14 | Unsupervised Feature Selection by Preserving Stochastic Neighbors | 2016 | 12 |
| 15 | 2016 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2016 | 10 |
About Xiaokai Wei
Xiaokai Wei is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 696 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (23 papers), Complex Network Analysis Techniques (17 papers), Topic Modeling (8 papers), Text and Document Classification Technologies (6 papers), Bioinformatics and Genomic Networks (5 papers), Natural Language Processing Techniques (3 papers), Face and Expression Recognition (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (225 citations), Artificial Intelligence (553 citations), Information Systems (190 citations), Computer Vision and Pattern Recognition (121 citations) and Computational Mathematics (3 citations). Xiaokai Wei has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Philip S. Yu, Linchuan Xu, Jiannong Cao, Bokai Cao, Zhiyuan Chen, Huayi Li, Jidong Shao, Bing Liu, Bing Xiang and Andrew O. Arnold. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Optics Express, Sensors, Computer Networks and International Journal of Data Science and Analytics.
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.