Xu Cao

965 total citations · 2 hit papers
59 papers, 591 citations indexed

About

Xu Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xu Cao has authored 59 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Xu Cao's work include Advanced Neural Network Applications (10 papers), Plasma Applications and Diagnostics (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Xu Cao is often cited by papers focused on Advanced Neural Network Applications (10 papers), Plasma Applications and Diagnostics (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Xu Cao collaborates with scholars based in China, United States and Germany. Xu Cao's co-authors include Wenqian Ye, Yunsheng Ma, Ziran Wang, Michael J. Black, Jinlong Yang, Dimitrios Tzionas, Yuliang Xiu, Can Cui, Can Cui and Renxi Zhang and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing and IEEE Transactions on Industrial Informatics.

In The Last Decade

Xu Cao

55 papers receiving 576 citations

Hit Papers

ECON: Explicit Clothed humans Optimized via Normal integr... 2023 2026 2024 2025 2023 2024 25 50 75
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. ECON: Explicit Clothed humans Optimized via Normal integration
    2023 91 citations Yuliang Xiu, Jinlong Yang et al. profile →
  2. Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
    2024 60 citations Can Cui, Yunsheng Ma 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
Xu Cao China 13 207 114 79 76 68 59 591
Jiangbo Qian China 13 207 1.0× 180 1.6× 73 0.9× 34 0.4× 43 0.6× 97 573
Weizhong Zhang China 14 229 1.1× 66 0.6× 58 0.7× 31 0.4× 49 0.7× 71 570
Qipeng Chen China 10 170 0.8× 109 1.0× 86 1.1× 13 0.2× 38 0.6× 39 573
Md. Jakir Hossen Malaysia 14 109 0.5× 123 1.1× 139 1.8× 56 0.7× 13 0.2× 105 580
Lei Sun China 13 360 1.7× 60 0.5× 108 1.4× 39 0.5× 15 0.2× 65 675
N. Venkateswaran India 14 158 0.8× 66 0.6× 83 1.1× 17 0.2× 17 0.3× 88 618
Li He China 14 470 2.3× 111 1.0× 134 1.7× 67 0.9× 24 0.4× 54 881
Shenglin Mu Japan 8 171 0.8× 159 1.4× 106 1.3× 25 0.3× 16 0.2× 49 569

Countries citing papers authored by Xu Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xu Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Cao. A scholar is included among the top collaborators of Xu Cao 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 Xu Cao. Xu Cao 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.
Ma, Yunsheng, Wenqian Ye, Shuo Xing, et al.. (2025). Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba. 920–936. 7 indexed citations
2.
Cao, Xu, et al.. (2025). Gene-related multi-network collaborative deep feature learning for predicting miRNA-disease associations. Computers & Electrical Engineering. 123. 110242–110242.
3.
Ma, Yunsheng, Xu Cao, Wenqian Ye, et al.. (2024). Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models. 4985–4995. 1 indexed citations
4.
Cao, Xu, et al.. (2024). Magnesium depletion score and gout: insights from NHANES data. Frontiers in Nutrition. 11. 1485578–1485578. 2 indexed citations
5.
Cao, Xu, et al.. (2024). DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations. Computational Biology and Chemistry. 113. 108201–108201. 2 indexed citations
6.
Lü, Nan, et al.. (2024). Hydrochar supported strategy for nZVI to remove bisphenol A and Cr(VI): Performance, synergetic mechanism, and life cycle assessment. Separation and Purification Technology. 358. 130423–130423. 9 indexed citations
7.
Wei, Juan, Huanxin Zou, Li Sun, et al.. (2023). CFRWD-GAN for SAR-to-Optical Image Translation. Remote Sensing. 15(10). 2547–2547. 13 indexed citations
8.
Zheng, Chao, Xu Cao, Tang Kun, et al.. (2023). High‐definition map automatic annotation system based on active learning. AI Magazine. 44(4). 418–430. 2 indexed citations
9.
Sun, Li, et al.. (2023). Semantic Segmentation of High-Resolution Remote Sensing Images Based on Sparse Self-Attention and Feature Alignment. Remote Sensing. 15(6). 1598–1598. 7 indexed citations
10.
Zou, Huanxin, et al.. (2023). ERF-RTMDet: An Improved Small Object Detection Method in Remote Sensing Images. Remote Sensing. 15(23). 5575–5575. 9 indexed citations
11.
Xiu, Yuliang, Jinlong Yang, Xu Cao, Dimitrios Tzionas, & Michael J. Black. (2023). ECON: Explicit Clothed humans Optimized via Normal integration. 512–523. 91 indexed citations breakdown →
12.
Zou, Huanxin, et al.. (2023). Dense Contrastive Learning Based Object Detection for Remote Sensing Images. 6458–6461. 1 indexed citations
13.
Ma, Yunsheng, Wenqian Ye, Xu Cao, et al.. (2023). CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. 4960–4966. 8 indexed citations
14.
Zou, Huanxin, et al.. (2022). Ship detection based on medium-low resolution remote sensing data and super-resolved feature representation. Remote Sensing Letters. 13(4). 323–333. 4 indexed citations
15.
Zou, Huanxin, et al.. (2021). Enhancing Mid–Low-Resolution Ship Detection With High-Resolution Feature Distillation. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 9 indexed citations
16.
17.
Ding, Xueying, et al.. (2021). Type 1 narcolepsy without cataplexy and treatment progress: a case report. Annals of Palliative Medicine. 10(3). 3491–3494. 1 indexed citations
18.
Cao, Xu, et al.. (2020). ChromSeg: Two-Stage Framework for Overlapping Chromosome Segmentation and Reconstruction. 2335–2342. 5 indexed citations
19.
Cao, Xu & Jiguang Bao. (2016). Hessian equations on exterior domain. Journal of Mathematical Analysis and Applications. 448(1). 22–43. 8 indexed citations
20.
Wang, Jingting, Xu Cao, Renxi Zhang, et al.. (2016). Effect of Water Vapor on Toluene Removal in Catalysis-DBD Plasma Reactors. Plasma Science and Technology. 18(4). 370–375. 10 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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