Xinyan Xiao
- Artificial Intelligence top 1%
- Topic Modeling 32
- Natural Language Processing Techniques 29
- Advanced Text Analysis Techniques 7
- Speech and dialogue systems 5
- Text and Document Classification Technologies 5
- Sentiment Analysis and Opinion Mining 3
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- Multimodal Machine Learning Applications 13
- Video Analysis and Summarization 3
- Information Systems top 5%
- General Social Sciences top 5%
Xinyan Xiao
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 346
- Management Science and Operations Research 89
- Information Systems 125
- General Social Sciences 13
Countries citing papers authored by Xinyan Xiao
This map shows the geographic impact of Xinyan Xiao'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 Xinyan Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyan Xiao more than expected).
Fields of papers citing papers by Xinyan Xiao
This network shows the impact of papers produced by Xinyan Xiao. 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 Xinyan Xiao. The network helps show where Xinyan Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinyan Xiao, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 9 | |
| 5 | Unified Structure Generation for Universal Information Extractionbreakdown → | 2022 | 215 |
| 6 | 2022 | 3 | |
| 7 | 2021 | 2 | |
| 8 | Learning with Noisy Correspondence for Cross-modal Matching | 2021 | 44 |
| 9 | 2021 | 14 | |
| 10 | 2021 | 166 | |
| 11 | 2020 | 159 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 72 | |
| 14 | 2018 | 38 | |
| 15 | 2018 | 23 | |
| 16 | 2013 | 2 | |
| 17 | A Topic Similarity Model for Hierarchical Phrase-based Translation | 2012 | 22 |
| 18 | Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation | 2012 | 3 |
| 19 | Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training | 2011 | 7 |
| 20 | Joint Tokenization and Translation | 2010 | 14 |
About Xinyan Xiao
Xinyan Xiao is a scholar working on Artificial Intelligence, General Engineering, Computer Vision and Pattern Recognition, Otorhinolaryngology and Radiation, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (29 papers), Multimodal Machine Learning Applications (13 papers), Advanced Text Analysis Techniques (7 papers), Speech and dialogue systems (5 papers), Text and Document Classification Technologies (5 papers), Sentiment Analysis and Opinion Mining (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (346 citations), Management Science and Operations Research (89 citations), Information Systems (125 citations) and General Social Sciences (13 citations). Xinyan Xiao has collaborated with scholars based in China, Singapore and Macao. Frequent co-authors include Hua Wu, Haifeng Wang, Jiachen Liu, Yajuan Lyu, Guocheng Niu, Le Sun, Q. Liu, Yaojie Lu, Hongyu Lin and Xianpei Han. Their work appears in journals such as BMJ Open, Journal of Artificial Intelligence Research, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Sciences.
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.