Jiangmiao Pang
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Aerospace Engineering top 2%
- Media Technology top 1%
- Industrial and Manufacturing Engineering top 2%
- Topics
- Advanced Neural Network Applications (12 papers)Video Surveillance and Tracking Methods (7 papers)Robotics and Sensor-Based Localization (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on GraphicsInternational Journal of Computer Vision
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiangmiao Pang
26 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 847
- Aerospace Engineering 691
- Media Technology 305
- Industrial and Manufacturing Engineering 227
Countries citing papers authored by Jiangmiao Pang
This map shows the geographic impact of Jiangmiao Pang'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 Jiangmiao Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangmiao Pang more than expected).
Fields of papers citing papers by Jiangmiao Pang
This network shows the impact of papers produced by Jiangmiao Pang. 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 Jiangmiao Pang. The network helps show where Jiangmiao Pang may publish in the future.
Co-authorship network of co-authors of Jiangmiao Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangmiao Pang. A scholar is included among the top collaborators of Jiangmiao Pang 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 Jiangmiao Pang. Jiangmiao Pang 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 63 | |
| 11 | 16 | |
| 12 | 34 | |
| 13 | Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Trackingbreakdown → | 407 |
| 14 | 83 | |
| 15 | 47 | |
| 16 | FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detectionbreakdown → | 392 |
| 17 | Quasi-Dense Similarity Learning for Multiple Object Trackingbreakdown → | 268 |
| 18 | 149 | |
| 19 | FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction | 23 |
| 20 | 0 |
About Jiangmiao Pang
Jiangmiao Pang is a scholar working on Computer Vision and Pattern Recognition, Geology and Instrumentation, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (7 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.5k citations), Media Technology (305 citations) and Aerospace Engineering (691 citations). Jiangmiao Pang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dahua Lin, Jianping Shi, Kai Chen, Wanli Ouyang, Huajun Feng, Xinge Zhu, Tai Wang, Jinkun Cao, Kris Kitani and Rawal Khirodkar. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.
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.