Xiao Bian
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Co-authors
- Longyin WenDawei DuQinghua HuHaibin LingPengfei ZhuHeng FanJia‐Bin HuangHan Zhang
- Topics
- Sparse and Compressive Sensing Techniques (8 papers)Advanced Neural Network Applications (4 papers)Photoacoustic and Ultrasonic Imaging (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Science of The Total EnvironmentMolecules
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Xiao Bian
21 papers receiving 844 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 659
- Aerospace Engineering 268
- Artificial Intelligence 179
- Media Technology 74
- Electrical and Electronic Engineering 68
Countries citing papers authored by Xiao Bian
This map shows the geographic impact of Xiao Bian'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 Xiao Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Bian more than expected).
Fields of papers citing papers by Xiao Bian
This network shows the impact of papers produced by Xiao Bian. 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 Xiao Bian. The network helps show where Xiao Bian may publish in the future.
Co-authorship network of co-authors of Xiao Bian
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Bian. A scholar is included among the top collaborators of Xiao Bian 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 Xiao Bian. Xiao Bian 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 | 15 | |
| 4 | 1 | |
| 5 | 20 | |
| 6 | Detection and Tracking Meet Drones Challengebreakdown → | 566 |
| 7 | PseudoSeg: Designing Pseudo Labels for Semantic Segmentation | 126 |
| 8 | 7 | |
| 9 | Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. | 5 |
| 10 | Robust Adversarial Perturbation on Deep Proposal-based Models. | 7 |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | A Probabilistic Approach of Space Objects Detection from Non-Resolved Optical Observation | 4 |
| 20 | Two-Tiered Architecture of Enterprise's MIS | 0 |
About Xiao Bian
Xiao Bian is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Media Technology, having authored 24 papers that have together received 871 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Advanced Neural Network Applications (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (659 citations), Aerospace Engineering (268 citations) and Media Technology (74 citations). Xiao Bian has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Longyin Wen, Dawei Du, Qinghua Hu, Haibin Ling, Pengfei Zhu, Heng Fan, Jia‐Bin Huang, Han Zhang, Tomas Pfister and Zizhao Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Molecules.
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.