Xiao Wei
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Artificial Intelligence top 2%
- Cognitive Computing and Networks
- Advanced Text Analysis Techniques
Papers in
-
- Cognitive Computing and Networks 15
- Topic Modeling 12
- Advanced Text Analysis Techniques 7
- Natural Language Processing Techniques 5
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- Web Data Mining and Analysis 9
- Service-Oriented Architecture and Web Services 8
Xiao Wei
101 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 173
- Signal Processing 249
- Artificial Intelligence 586
- Computer Vision and Pattern Recognition 312
- Developmental Biology 33
- Information Systems 299
Countries citing papers authored by Xiao Wei
This map shows the geographic impact of Xiao 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 Xiao Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Wei more than expected).
Fields of papers citing papers by Xiao Wei
This network shows the impact of papers produced by Xiao 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 Xiao Wei. The network helps show where Xiao Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 2 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 17 | |
| 16 | Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification | 2017 | 2 |
| 17 | 2017 | 24 | |
| 18 | 2016 | 0 | |
| 19 | The in vitro study of LPS-induced IL-23 expression in murine osteoblast | 2011 | 1 |
| 20 | APPLICATION OF THE SET PAIR ANALYSIS THEORY IN MULTIPLE ATTRIBUTE DECISION-MAKING | 2007 | 12 |
About Xiao Wei
Xiao Wei is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Software and Signal Processing, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cognitive Computing and Networks (15 papers), Topic Modeling (12 papers), Web Data Mining and Analysis (9 papers), Service-Oriented Architecture and Web Services (8 papers), Advanced Text Analysis Techniques (7 papers), Image Retrieval and Classification Techniques (5 papers), Infrastructure Maintenance and Monitoring (5 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Signal Processing (249 citations), Artificial Intelligence (586 citations), Computer Vision and Pattern Recognition (312 citations), Developmental Biology (33 citations) and Information Systems (299 citations). Xiao Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiangfeng Luo, Zheng Xu, Lin Mei, Chuanping Hu, Hong Liu, Haomin Zhang, Zhipeng Xie, Ian McLoughlin, Yan Song and Hao Tang. Their work appears in journals such as Future Generation Computer Systems, Service Oriented Computing and Applications, Frontiers in Big Data, Journal of Civil Structural Health Monitoring and Materials & Design.
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.