Xin Miao
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Topics
- Molecular Sensors and Ion Detection (4 papers)Remote-Sensing Image Classification (4 papers)Advanced Chemical Sensor Technologies (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaAdvanced Functional Materials
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Xin Miao
19 papers receiving 711 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 220
- Biomedical Engineering 210
- Artificial Intelligence 136
- Media Technology 84
- Electrical and Electronic Engineering 68
Countries citing papers authored by Xin Miao
This map shows the geographic impact of Xin Miao'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 Xin Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Miao more than expected).
Fields of papers citing papers by Xin Miao
This network shows the impact of papers produced by Xin Miao. 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 Xin Miao. The network helps show where Xin Miao may publish in the future.
Co-authorship network of co-authors of Xin Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Miao. A scholar is included among the top collaborators of Xin Miao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Miao. Xin Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 23 | |
| 9 | 8 | |
| 10 | 79 | |
| 11 | 1 | |
| 12 | Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challengesbreakdown → | 452 |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 25 | |
| 16 | Attentional Alignment Networks. | 16 |
| 17 | 3 | |
| 18 | Detection of yellow starthistle through band selection and feature extraction from hyperspectral imagery | 19 |
| 19 | 5 | |
| 20 | 74 |
About Xin Miao
Xin Miao is a scholar working on Media Technology, Computer Science Applications and Human-Computer Interaction, having authored 21 papers that have together received 739 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (4 papers), Remote-Sensing Image Classification (4 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Human-Computer Interaction (57 citations) and Media Technology (84 citations). Xin Miao has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Sen Qiu, Long Liu, Ruichen Liu, Hongkai Zhao, Giancarlo Fortino, Nan Jiang, Hongyu Zhao, Yi An, Zhelong Wang and Feng Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.
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.