Sijia Yu
- Computer Vision and Pattern Recognition top 1%
- Civil and Structural Engineering top 2%
- Aerospace Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Mechanical Engineering top 10%
- Co-authors
- Haibin LingXue MeiFan YangDanil ProkhorovLei ZhangChunyuan LiaoYong XuHexin Bai
- Topics
- Video Surveillance and Tracking Methods (3 papers)Power System Optimization and Stability (3 papers)Smart Grid Security and Resilience (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionCivil and Structural EngineeringSafety, Risk, Reliability and Quality
- Journals
- International Journal of Computer VisionIEEE Transactions on Intelligent Transportation SystemsIEEE Internet of Things Journal
- Partner nations
- United StatesChinaCanada
In The Last Decade
Sijia Yu
12 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 1.1k
- Civil and Structural Engineering 714
- Aerospace Engineering 281
- Safety, Risk, Reliability and Quality 248
- Mechanical Engineering 198
Countries citing papers authored by Sijia Yu
This map shows the geographic impact of Sijia Yu'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 Sijia Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijia Yu more than expected).
Fields of papers citing papers by Sijia Yu
This network shows the impact of papers produced by Sijia Yu. 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 Sijia Yu. The network helps show where Sijia Yu may publish in the future.
Co-authorship network of co-authors of Sijia Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Sijia Yu. A scholar is included among the top collaborators of Sijia Yu 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 Sijia Yu. Sijia Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 151 | |
| 11 | Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detectionbreakdown → | 773 |
| 12 | LaSOT: A High-Quality Benchmark for Large-Scale Single Object Trackingbreakdown → | 970 |
| 13 | 1 |
About Sijia Yu
Sijia Yu is a scholar working on Computer Science Applications, Management Science and Operations Research and Artificial Intelligence, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Power System Optimization and Stability (3 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Civil and Structural Engineering (714 citations) and Safety, Risk, Reliability and Quality (248 citations). Sijia Yu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Haibin Ling, Xue Mei, Fan Yang, Danil Prokhorov, Lei Zhang, Chunyuan Liao, Yong Xu, Hexin Bai, Liting Lin and Fan Yang. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.
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.