Xiao Bian

5.5k total citations · 1 hit paper
24 papers, 871 citations indexed

About

Xiao Bian is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Xiao Bian has authored 24 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 5 papers in Artificial Intelligence. Recurrent topics in Xiao Bian's work include Sparse and Compressive Sensing Techniques (8 papers), Advanced Neural Network Applications (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Xiao Bian is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Advanced Neural Network Applications (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). Xiao Bian collaborates with scholars based in United States, China and Brazil. Xiao Bian's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Molecules.

In The Last Decade

Xiao Bian

21 papers receiving 844 citations

Hit Papers

Detection and Tracking Meet Drones Challenge 2021 2026 2022 2024 2021 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Detection and Tracking Meet Drones Challenge
    2021 566 citations Pengfei Zhu, Longyin Wen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiao Bian United States 8 659 268 179 74 68 24 871
Junbo Yin China 13 729 1.1× 304 1.1× 114 0.6× 69 0.9× 41 0.6× 26 965
Zhiqi Li China 8 476 0.7× 123 0.5× 171 1.0× 95 1.3× 49 0.7× 25 783
Qiong Liu China 14 525 0.8× 164 0.6× 109 0.6× 102 1.4× 42 0.6× 67 676
Xinyue Zhao China 17 503 0.8× 173 0.6× 67 0.4× 63 0.9× 49 0.7× 70 785
Tengteng Huang China 7 930 1.4× 203 0.8× 188 1.1× 81 1.1× 18 0.3× 7 1.1k
Jin Fang China 12 721 1.1× 367 1.4× 112 0.6× 77 1.0× 43 0.6× 22 1.0k
Pei An China 11 396 0.6× 275 1.0× 34 0.2× 66 0.9× 63 0.9× 38 767
Ting Rui China 16 376 0.6× 161 0.6× 84 0.5× 93 1.3× 55 0.8× 65 638
Jiaolong Xu Spain 13 681 1.0× 131 0.5× 210 1.2× 126 1.7× 81 1.2× 26 887
Yeqiang Qian China 13 454 0.7× 119 0.4× 113 0.6× 61 0.8× 72 1.1× 36 643

Countries citing papers authored by Xiao Bian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhang, Qingtao, Bo Wang, Yanan Liu, et al.. (2025). Preparation of cellulose-based nano-aerogels and kinetic mechanism of heat-insulating and flame-retarding properties. Polymer Degradation and Stability. 240. 111453–111453. 1 indexed citations
2.
3.
Bian, Xiao, Kaijun Wang, & Hui Gong. (2023). Biochar-enhanced agricultural application of liquid digestate from food waste anaerobic digestion for celery cultivation. The Science of The Total Environment. 869. 161562–161562. 15 indexed citations
4.
Bian, Xiao, et al.. (2023). Effects of Different Flotation Agents on the Nucleation and Growth of Potassium Chloride. Molecules. 28(23). 7923–7923. 1 indexed citations
5.
Kawaguchi, Tomoya, Xiao Bian, Takuya Hatakeyama, Hongyi Li, & Tetsu Ichitsubo. (2022). Influences of Enhanced Entropy in Layered Rocksalt Oxide Cathodes for Lithium-Ion Batteries. ACS Applied Energy Materials. 5(4). 4369–4381. 20 indexed citations
6.
Zhu, Pengfei, Longyin Wen, Dawei Du, et al.. (2021). Detection and Tracking Meet Drones Challenge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 7380–7399. 566 indexed citations breakdown →
7.
Zou, Yuliang, Zizhao Zhang, Han Zhang, et al.. (2021). PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. arXiv (Cornell University). 126 indexed citations
8.
Karigiannis, John, et al.. (2021). Multi-Robot System for Automated Fluorescent Penetrant Indication Inspection with Deep Neural Nets. Procedia Manufacturing. 53. 735–740. 7 indexed citations
9.
Li, Yuezun, Xiao Bian, Ming‐Ching Chang, & Siwei Lyu. (2019). Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches.. British Machine Vision Conference. 218. 5 indexed citations
10.
Li, Yuezun, et al.. (2018). Robust Adversarial Perturbation on Deep Proposal-based Models.. arXiv (Cornell University). 231. 7 indexed citations
11.
Panahi, Ashkan, Xiao Bian, Hamid Krim, & Liyi Dai. (2018). Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm. Chalmers Research (Chalmers University of Technology). 14. 1302–1311.
12.
Li, Yuezun, Xiao Bian, Ming‐Ching Chang, Longyin Wen, & Siwei Lyu. (2018). Pixel Offset Regression (POR) for Single-shot Instance Segmentation. 1–6. 2 indexed citations
13.
Bian, Xiao, Ashkan Panahi, & Hamid Krim. (2018). Bi-sparsity pursuit: A paradigm for robust subspace recovery. Signal Processing. 152. 148–159. 3 indexed citations
14.
Bian, Xiao, Hamid Krim, Alex Bronstein, & Liyi Dai. (2016). Sparsity and Nullity: Paradigms for Analysis Dictionary Learning. SIAM Journal on Imaging Sciences. 9(3). 1107–1126. 6 indexed citations
15.
Bian, Xiao & Hamid Krim. (2015). BI-sparsity pursuit for robust subspace recovery. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3535–3539. 15 indexed citations
16.
17.
Bian, Xiao, Hamid Krim, Alex Bronstein, & Liyi Dai. (2015). Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. 15. 3781–3785. 4 indexed citations
18.
Bian, Xiao, et al.. (2014). Multi-level scene understanding via hierarchical classification. 3951. 966–970. 1 indexed citations
19.
Bian, Xiao, Bradley S. Gibson, & Hamid Krim. (2013). A Probabilistic Approach of Space Objects Detection from Non-Resolved Optical Observation. Advanced Maui Optical and Space Surveillance Technologies Conference. 4 indexed citations
20.
Bian, Xiao. (2000). Two-Tiered Architecture of Enterprise's MIS. Journal of Hebei University.

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.

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