Jun Miao
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence
- Media Technology top 10%
- Aerospace Engineering
- Safety, Risk, Reliability and Quality top 10%
- Topics
- Video Surveillance and Tracking Methods (13 papers)Advanced Neural Network Applications (9 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologySafety, Risk, Reliability and Quality
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Jun Miao
24 papers receiving 474 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 380
- Artificial Intelligence 73
- Media Technology 54
- Aerospace Engineering 50
- Safety, Risk, Reliability and Quality 33
Countries citing papers authored by Jun Miao
This map shows the geographic impact of Jun 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 Jun Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Miao more than expected).
Fields of papers citing papers by Jun Miao
This network shows the impact of papers produced by Jun 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 Jun Miao. The network helps show where Jun Miao may publish in the future.
Co-authorship network of co-authors of Jun Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Miao. A scholar is included among the top collaborators of Jun 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 Jun Miao. Jun 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 | 0 | |
| 2 | 3 | |
| 3 | 50 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 23 | |
| 9 | 52 | |
| 10 | 161 | |
| 11 | 15 | |
| 12 | 0 | |
| 13 | 14 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 0 | |
| 18 | Research on new type of electric power overhaul grounding line device | 4 |
| 19 | 9 | |
| 20 | A Novel Method to Compensate Variety of Illumination in Face Detection. | 10 |
About Jun Miao
Jun Miao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Safety, Risk, Reliability and Quality, having authored 28 papers that have together received 502 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Neural Network Applications (9 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (380 citations), Media Technology (54 citations) and Safety, Risk, Reliability and Quality (33 citations). Jun Miao has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Jun Chu, Lu Leng, Yiqing Zhang, Baocai Yin, Kongqiao Wang, Shen Lan-sun, Xue-Cun Chen, Lingfeng Wang, Byung‐Gyu Kim and Lu Leng. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.