Xiang Yu

6.7k total citations · 2 hit papers
92 papers, 3.0k citations indexed

About

Xiang Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Xiang Yu has authored 92 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 16 papers in Aerospace Engineering. Recurrent topics in Xiang Yu's work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Advanced Neural Network Applications (12 papers). Xiang Yu is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Advanced Neural Network Applications (12 papers). Xiang Yu collaborates with scholars based in China, United States and Germany. Xiang Yu's co-authors include Silvio Savarese, Alexandre Alahi, Roozbeh Mottaghi, Dieter Fox, Wongun Choi, Yuanqing Lin, Arsalan Mousavian, Guoliang Li, Chengliang Chai and Xiaocheng Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Xiang Yu

85 papers receiving 2.9k citations

Hit Papers

Learning to Track: Online Multi-object Tracking by Decisi... 2014 2026 2018 2022 2015 2014 100 200 300 400
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. Learning to Track: Online Multi-object Tracking by Decision Making
    2015 443 citations Xiang Yu, Silvio Savarese et al. profile →
  2. Beyond PASCAL: A benchmark for 3D object detection in the wild
    2014 392 citations Xiang Yu, Roozbeh Mottaghi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Yu China 26 2.0k 825 748 365 224 92 3.0k
Yanan Sun China 23 2.1k 1.1× 666 0.8× 1.8k 2.4× 162 0.4× 225 1.0× 91 4.2k
Jianke Zhu China 31 2.9k 1.5× 522 0.6× 1.1k 1.4× 91 0.2× 60 0.3× 109 4.1k
Hai Wang China 31 1.6k 0.8× 392 0.5× 431 0.6× 370 1.0× 836 3.7× 217 3.4k
Haojie Li China 27 4.0k 2.0× 450 0.5× 1.4k 1.8× 73 0.2× 90 0.4× 179 5.0k
Shiliang Pu China 33 2.9k 1.5× 228 0.3× 1.8k 2.4× 100 0.3× 47 0.2× 150 3.9k
Omar Y. Al-Jarrah United Kingdom 12 515 0.3× 197 0.2× 520 0.7× 183 0.5× 451 2.0× 20 1.8k
Zhenguo Li China 30 2.0k 1.0× 169 0.2× 1.4k 1.9× 54 0.1× 88 0.4× 125 3.1k
Yong Xu China 34 3.5k 1.8× 329 0.4× 1.3k 1.8× 144 0.4× 35 0.2× 156 5.4k
Michael Erdmann United States 26 1.1k 0.6× 333 0.4× 816 1.1× 1.4k 3.8× 44 0.2× 81 3.2k
Kai Sun China 18 624 0.3× 233 0.3× 304 0.4× 195 0.5× 84 0.4× 98 1.4k

Countries citing papers authored by Xiang Yu

Since Specialization
Citations

This map shows the geographic impact of Xiang 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 Xiang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Yu more than expected).

Fields of papers citing papers by Xiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiang 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 Xiang Yu. The network helps show where Xiang Yu may publish in the future.

Co-authorship network of co-authors of Xiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yu. A scholar is included among the top collaborators of Xiang 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 Xiang Yu. Xiang Yu 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.
Yu, Xiang, et al.. (2025). Impermissibility of euthanasia and self-regarding duties to stay alive. Journal of Medical Ethics. 51(4). 243–244.
2.
Zhao, Haitao, Zhangli Hu, Weiwei Zhang, et al.. (2025). Prediction of restrained stress for UHPC: Considering relationship between long-term and in-situ creep. Construction and Building Materials. 484. 141722–141722. 6 indexed citations
3.
Zhao, Haitao, et al.. (2025). Improved TSTM for shrinkage cracking characterization of UHPC with expansive agent under various degrees of restraint. Journal of Building Engineering. 107. 112783–112783.
4.
Huang, Mengyuan, Xiang Yu, Jinzhi Ni, et al.. (2024). The carbon stability and energy characteristics of tea waste-derived biochar: Effects of pyrolytic temperature and co-pyrolysis with nanoscale zero-valent iron. Biomass and Bioenergy. 191. 107458–107458. 2 indexed citations
5.
Geng, Zhe, et al.. (2023). Target Recognition in SAR Images by Deep Learning with Training Data Augmentation. Sensors. 23(2). 941–941. 31 indexed citations
6.
7.
Zhang, Huiying, Jinzhi Ni, Xiang Yu, et al.. (2022). Spectral characteristics coupled with self-organizing maps analysis on different molecular size-fractionated water-soluble organic carbon from biochar. The Science of The Total Environment. 857(Pt 2). 159424–159424. 14 indexed citations
8.
9.
10.
Yu, Xiang, et al.. (2021). Using deep learning method to identify left ventricular hypertrophy on echocardiography. The International Journal of Cardiovascular Imaging. 38(4). 759–769. 20 indexed citations
11.
Liu, Dong, et al.. (2020). MRI Image Segmentation System of Uterine Fibroids Based on AR-Unet Network. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 71(1). 1–10. 7 indexed citations
12.
Xie, Christopher, Xiang Yu, Zaïd Harchaoui, & Dieter Fox. (2019). Object Discovery in Videos as Foreground Motion Clustering. 9986–9995. 26 indexed citations
13.
Xie, Christopher, Xiang Yu, Arsalan Mousavian, & Dieter Fox. (2019). The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation.. 1369–1378. 10 indexed citations
14.
Yu, Xiang, Ngoc Thang Vu, & Jonas Kuhn. (2019). Learning the Dyck Language with Attention-based Seq2Seq Models. 138–146. 16 indexed citations
15.
Zhang, Xiaoyu, et al.. (2018). Target Detection and Classification Based on LiDAR. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 49(1). 28–39.
16.
Yu, Xiang, et al.. (2018). CrowdOTA: An Online Task Assignment System in Crowdsourcing. 1629–1632. 12 indexed citations
17.
Yu, Xiang, Wongun Choi, Yuanqing Lin, & Silvio Savarese. (2017). Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection. 924–933. 193 indexed citations
18.
Yu, Xiang & Kai Liu. (2016). 3-D visual reconstruction without system calibration. High Power Laser and Particle Beams. 28(9). 91004. 1 indexed citations
19.
Yu, Xiang, Roozbeh Mottaghi, & Silvio Savarese. (2014). Beyond PASCAL: A benchmark for 3D object detection in the wild. 75–82. 392 indexed citations breakdown →
20.
Yu, Xiang. (2012). Calibration of Angular Systematic Errors for High Resolution Satellite Imagery. Acta Geodaetica et Cartographica Sinica. 8 indexed citations

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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