Xiaoyong Jin
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- Stock Market Forecasting Methods 1
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- Advanced Text Analysis Techniques 1
- Natural Language Processing Techniques 1
- Anomaly Detection Techniques and Applications 1
- Topic Modeling 1
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- COVID-19 epidemiological studies 1
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- Advanced Neural Network Applications 1
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- COVID-19 diagnosis using AI 1
- Journals
- Society for Industrial and Applied Mathematics eBooks (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Xiaoyong Jin
3 papers receiving 60 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 25
- Health Informatics 3
- Management Science and Operations Research 24
- Artificial Intelligence 33
- Computer Science Applications 4
Countries citing papers authored by Xiaoyong Jin
This map shows the geographic impact of Xiaoyong Jin'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 Xiaoyong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyong Jin more than expected).
Fields of papers citing papers by Xiaoyong Jin
This network shows the impact of papers produced by Xiaoyong Jin. 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 Xiaoyong Jin. The network helps show where Xiaoyong Jin may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Xiaoyong Jin, 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 | 2021 | 15 | |
| 2 | 2021 | 4 | |
| 3 | Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting | 2019 | 47 |
About Xiaoyong Jin
Xiaoyong Jin is a scholar working on Modeling and Simulation, Artificial Intelligence and Signal Processing, having authored 3 papers that have together received 66 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (1 paper), COVID-19 epidemiological studies (1 paper), Natural Language Processing Techniques (1 paper), Advanced Neural Network Applications (1 paper), Anomaly Detection Techniques and Applications (1 paper), COVID-19 diagnosis using AI (1 paper), Stock Market Forecasting Methods (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (25 citations), Health Informatics (3 citations) and Management Science and Operations Research (24 citations). Xiaoyong Jin has collaborated with scholars based in United States. Frequent co-authors include Xiyou Zhou, Xifeng Yan, Yu-Xiang Wang, Yao Xuan, Shiyang Li, Wenhu Chen, Zhiyu Chen and William Yang Wang. Their work appears in journals such as Society for Industrial and Applied Mathematics eBooks and arXiv (Cornell University).
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.