Shuo Xu

690 total citations · 1 hit paper
22 papers, 451 citations indexed

About

Shuo Xu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shuo Xu has authored 22 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Shuo Xu's work include Biofuel production and bioconversion (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Fault Diagnosis Techniques (2 papers). Shuo Xu is often cited by papers focused on Biofuel production and bioconversion (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Machine Fault Diagnosis Techniques (2 papers). Shuo Xu collaborates with scholars based in China, United Kingdom and United Arab Emirates. Shuo Xu's co-authors include Ling Shao, Jinbao Wang, Feng Zheng, Zhenyu He, Shujie Tan, Xiantong Zhen, Shun Zhang, Aidong Deng, Xue Ding and Jing Li and has published in prestigious journals such as Applied and Environmental Microbiology, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Shuo Xu

18 papers receiving 433 citations

Hit Papers

align trajectories

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.

Deep 3D human pose estimation: A review

2021 209 citations Jinbao Wang, Shujie Tan et al. Computer Vision and Image Understanding profile →

Peers

Shuo Xu

CVPR

CSE

BE

MB

HI

Mitchell Yuwono Australia

Brojeshwar Bhowmick India

Daniele Pucci Italy

Wenqing Zheng China

Mark Dunn Australia

Yingnan Sun United Kingdom

Claudio Gaz Italy

Gu‐Min Jeong South Korea

Guodong Lu China

Mitchell Yuwono Australia

Shuo Xu

101 ×0.7

CVPR

115 ×1.0

CSE

129 ×1.3

BE

21 ×0.2

MB

38 ×0.6

HI

Citations per year, relative to Shuo Xu Shuo Xu (= 1×) peers Mitchell Yuwono

Countries citing papers authored by Shuo Xu

Since Specialization

Citations

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

Fields of papers citing papers by Shuo Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Xu. A scholar is included among the top collaborators of Shuo Xu 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 Shuo Xu. Shuo Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ma, Leilei, et al.. (2025). Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning. 25434–25443.

2.

Xu, Shuo, Qian Li, Ye Li, et al.. (2025). Synergistic effect of transporter and pathway engineering on the key performance indicators of erythritol synthesis by the yeast Yarrowia lipolytica. Applied and Environmental Microbiology. 91(4). e0006125–e0006125. 3 indexed citations

3.

Fan, Xingming, et al.. (2025). Tunable T-type network parameters determination method based on improved beluga whale optimization for a MHz WPT System’s adaptive impedance matching. AEU - International Journal of Electronics and Communications. 204. 156091–156091.

4.

Li, Qing Yun, Shuo Xu, Tong Li, Liyun Ji, & Hairong Cheng. (2025). Threitol, a Novel Functional Sugar Alcohol Biosynthesized by Engineered Yarrowia lipolytica, Has the Potential as a Low-Calorie Sugar-Reducing Sweetener. Foods. 14(14). 2539–2539.

5.

Qiu, Ting, et al.. (2025). Research Evolution, Current Status, Trends, and Sustainable Development of Smart Product-Service Systems. IEEE Access. 13. 5974–5994. 3 indexed citations

6.

Xia, Hui, et al.. (2024). FMDADA: Federated multi-discriminative adversarial domain adaptation. Applied Intelligence. 54(17-18). 7849–7863.

7.

Xu, Shuo, et al.. (2022). Dual branch feature fusion network based gait recognition algorithm. Journal of Image and Graphics. 27(7). 2263–2273. 1 indexed citations

8.

Bilal, Muhammad, Liyun Ji, Shuo Xu, et al.. (2022). Bioprospecting Kluyveromyces marxianus as a Robust Host for Industrial Biotechnology. Frontiers in Bioengineering and Biotechnology. 10. 851768–851768. 43 indexed citations

9.

Wang, Zheng & Shuo Xu. (2021). Bureau for Rapid Annotation Tool: Collaboration can do More over Variety-oriented Annotations.. 80–82. 1 indexed citations

10.

Wang, Jinbao, Shujie Tan, Xiantong Zhen, et al.. (2021). Deep 3D human pose estimation: A review. Computer Vision and Image Understanding. 210. 103225–103225. 209 indexed citations breakdown →

11.

Wang, Jinbao, Shuo Xu, Feng Zheng, et al.. (2021). Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval. IEEE Transactions on Image Processing. 30. 6321–6334. 5 indexed citations

12.

Luo, Simin, et al.. (2021). Study on Optimal Operation of AC-DC Hybrid Distribution Network. Journal of Physics Conference Series. 1952(3). 32025–32025. 2 indexed citations

13.

Shi, Yaowei, Aidong Deng, Xue Ding, et al.. (2021). Multisource domain factorization network for cross-domain fault diagnosis of rotating machinery: An unsupervised multisource domain adaptation method. Mechanical Systems and Signal Processing. 164. 108219–108219. 64 indexed citations

14.

Li, Bin, et al.. (2020). Workspace Analysis of 2-RPU & 2-SPS Spatial Parallel Mechanism. 39. 130–135. 1 indexed citations

15.

Hou, Guisheng, et al.. (2020). Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme. Computational Intelligence and Neuroscience. 2020. 1–14. 36 indexed citations

16.

Xu, Shuo, et al.. (2019). Enhanced protopanaxadiol production from xylose by engineered Yarrowia lipolytica. Microbial Cell Factories. 18(1). 56 indexed citations

17.

Xu, Shuo, Junwan Liu, & Zheng Wang. (2017). Overlapping Thematic Structures Extraction with Mixed-Membership Stochastic Blockmodel.. ISSI. 1007–1012. 2 indexed citations

18.

Feng, Xiaofeng, et al.. (2017). The Measurement of Three-Dimensional Points Based on the Single Camera Stereo Vision Sensor. 62. 278–281. 1 indexed citations

19.

Xu, Shuo, et al.. (2012). Stereo Matching Algorithm Based on Detecting Feature Points. Advanced materials research. 433-440. 6190–6194. 3 indexed citations

20.

Xu, Shuo, et al.. (2010). Bio-Inspired Binary Bees Algorithm for a Two-Level Distribution Optimisation Problem. Journal of Bionic Engineering. 7(2). 161–167. 5 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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