Yalong Pi
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
-
- Video Surveillance and Tracking Methods 4
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Amir H. Behzadan (6 shared papers)Nipun D. Nath (4 shared papers)Nick Duffield (4 shared papers)Tim Lomax (3 shared papers)Xinyue Ye (1 shared paper)Wei Yan (1 shared paper)Luís O Tedeschi (3 shared papers)Jian Tao (3 shared papers)
- Journals
- Journal of Animal Science (3 papers)Advanced Engineering Informatics (1 paper)Journal of Computing in Civil Engineering (1 paper)Traffic Injury Prevention (1 paper)Natural Hazards Review (1 paper)
- Partner nations
- United States
In The Last Decade
Yalong Pi
11 papers receiving 300 citations
Peers
Comparison fields: 5 of 75
- Media Technology 66
- Computer Vision and Pattern Recognition 120
- Geology 28
- Environmental Engineering 50
- Safety, Risk, Reliability and Quality 23
Countries citing papers authored by Yalong Pi
This map shows the geographic impact of Yalong Pi'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 Yalong Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalong Pi more than expected).
Fields of papers citing papers by Yalong Pi
This network shows the impact of papers produced by Yalong Pi. 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 Yalong Pi. The network helps show where Yalong Pi may publish in the future.
Co-authors
The 8 scholars most cited alongside Yalong Pi, 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 | 2019 | 212 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 9 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2024 | 0 |
About Yalong Pi
Yalong Pi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Media Technology and Building and Construction, having authored 12 papers that have together received 305 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Advanced Neural Network Applications (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Remote-Sensing Image Classification (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Disaster Management and Resilience (1 paper), COVID-19 epidemiological studies (1 paper) and Public Relations and Crisis Communication (1 paper). The work is most often cited by research in Media Technology (66 citations), Computer Vision and Pattern Recognition (120 citations), Geology (28 citations), Environmental Engineering (50 citations) and Safety, Risk, Reliability and Quality (23 citations). Yalong Pi has collaborated with scholars based in United States. Frequent co-authors include Amir H. Behzadan, Nipun D. Nath, Nick Duffield, Tim Lomax, Xinyue Ye, Wei Yan, Luís O Tedeschi and Jian Tao. Their work appears in journals such as Journal of Animal Science, Advanced Engineering Informatics, Journal of Computing in Civil Engineering, Traffic Injury Prevention and Natural Hazards Review.
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.