Xiaodong Qiao
- Artificial Intelligence top 10%
- Text and Document Classification Technologies 3
- Natural Language Processing Techniques 3
- Machine Learning and ELM 2
- Topic Modeling 2
- Advanced Text Analysis Techniques 2
-
- Face and Expression Recognition 3
-
- Complex Network Analysis Techniques 2
-
- Spectroscopy and Chemometric Analyses 2
- Co-authors
- Shuo XuLijun ZhuXin AnLin LiJunsheng ZhangXinyue ZhangYunchuan SunJie Gui
- Journals
- International journal of agricultural and biological engineering (2 papers)ACS Applied Polymer Materials (1 paper)Journal of Data and Information Science (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Xiaodong Qiao
20 papers receiving 348 citations
Peers
Comparison fields: 5 of 95
- Statistics, Probability and Uncertainty 26
- Artificial Intelligence 114
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 59
- Control and Systems Engineering 45
Countries citing papers authored by Xiaodong Qiao
This map shows the geographic impact of Xiaodong Qiao'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 Xiaodong Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Qiao more than expected).
Fields of papers citing papers by Xiaodong Qiao
This network shows the impact of papers produced by Xiaodong Qiao. 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 Xiaodong Qiao. The network helps show where Xiaodong Qiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaodong Qiao, 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 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2019 | 0 | |
| 7 | 2017 | 4 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 35 | |
| 10 | The analytic network processes method & fuzzy cognitive map method in decision making: a comparative study | 2014 | 1 |
| 11 | Mining Technical Topic Networks from Chinese Patents | 2014 | 1 |
| 12 | 2014 | 10 | |
| 13 | 2013 | 47 | |
| 14 | 2013 | 200 | |
| 15 | A Novel Approach for Co-occurrence Clustering Analysis: Maximal Frequent Itemset Mining | 2012 | 3 |
| 16 | [Multi-task least-squares support vector regression machines and their applications in NIR spectral analysis]. | 2011 | 2 |
| 17 | Semi-supervised Least-squares Support Vector Regression Machines ★ | 2011 | 16 |
| 18 | 2009 | 3 | |
| 19 | 2009 | 1 | |
| 20 | 2009 | 5 |
About Xiaodong Qiao
Xiaodong Qiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 25 papers that have together received 363 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Text and Document Classification Technologies (3 papers), Natural Language Processing Techniques (3 papers), Machine Learning and ELM (2 papers), Topic Modeling (2 papers), Advanced Text Analysis Techniques (2 papers), Complex Network Analysis Techniques (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (26 citations), Artificial Intelligence (114 citations) and Computational Mathematics (2 citations). Xiaodong Qiao has collaborated with scholars based in China and South Korea. Frequent co-authors include Shuo Xu, Lijun Zhu, Xin An, Lin Li, Lijun Zhu, Junsheng Zhang, Xinyue Zhang, Yunchuan Sun, Lin Li and Jie Gui. Their work appears in journals such as International journal of agricultural and biological engineering, ACS Applied Polymer Materials, Journal of Data and Information Science, Multimedia Tools and Applications and Pattern Recognition Letters.
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.