Chengming Xu

1.2k total citations
25 papers, 754 citations indexed

About

Chengming Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Chengming Xu has authored 25 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Ocean Engineering. Recurrent topics in Chengming Xu's work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). Chengming Xu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). Chengming Xu collaborates with scholars based in China, Hong Kong and United Kingdom. Chengming Xu's co-authors include Yanwei Fu, Chen Liu, Li Zhang, Chengjie Wang, Jilin Li, Feiyue Huang, Yikai Wang, Xiangyang Xue, Yabiao Wang and Donghao Luo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Frontiers in Immunology.

In The Last Decade

Chengming Xu

21 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengming Xu China 10 479 464 74 63 57 25 754
Shan An China 16 208 0.4× 516 1.1× 29 0.4× 52 0.8× 52 0.9× 59 832
Chaoyi Zhang Australia 16 161 0.3× 249 0.5× 208 2.8× 77 1.2× 57 1.0× 57 787
Wenjin Lu China 12 286 0.6× 307 0.7× 110 1.5× 53 0.8× 57 1.0× 34 566
Nianyi Li United States 14 78 0.2× 615 1.3× 68 0.9× 62 1.0× 42 0.7× 35 939
Yuefeng Chen China 13 387 0.8× 531 1.1× 38 0.5× 43 0.7× 13 0.2× 26 853
Younghak Shin South Korea 12 238 0.5× 192 0.4× 251 3.4× 26 0.4× 43 0.8× 33 777
Zhong Liu China 14 74 0.2× 233 0.5× 62 0.8× 41 0.7× 91 1.6× 55 657
John Arévalo Colombia 13 705 1.5× 367 0.8× 483 6.5× 53 0.8× 59 1.0× 30 1.0k
Yung‐Kyun Noh South Korea 13 88 0.2× 89 0.2× 80 1.1× 64 1.0× 29 0.5× 47 511

Countries citing papers authored by Chengming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Chengming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengming Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengming Xu. A scholar is included among the top collaborators of Chengming 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 Chengming Xu. Chengming Xu 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, Zhe, Wenjing Hu, Xinxin Cui, et al.. (2025). tDCS-induced enhancement of cognitive flexibility in autism: role of frontal lobe and associated neural circuits. Frontiers in Behavioral Neuroscience. 19. 1631236–1631236.
2.
Liang, Yujie, Xiaobin Hu, Boyuan Jiang, et al.. (2025). VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding. 22616–22626.
3.
Chen, Xu, Chengming Xu, Junwei Zhu, et al.. (2025). SVFR: A Unified Framework for Generalized Video Face Restoration. 7406–7415.
4.
Lin, Chuming, Chengming Xu, Xiaobin Hu, et al.. (2025). Disentangle Identity, Cooperate Emotion: Correlation-Aware Emotional Talking Portrait Generation. mediaTUM (Technical University of Munich). 9987–9995.
5.
Yang, Xuan, Yue Wang, Chengming Xu, et al.. (2024). MIRA/PfAgo-Mediated Biosensor for Multiplex Human Enteroviruses Virus Typing Detection on HFMD. ACS Synthetic Biology. 13(12). 4119–4130. 2 indexed citations
6.
Sun, Guodong, et al.. (2024). FS-OreDet: Feature enhancement and relationship exploration for boosting few-shot object detector of ore images. Engineering Applications of Artificial Intelligence. 133. 108437–108437. 1 indexed citations
7.
Wang, Chengjie, et al.. (2024). PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision. 1–6. 1 indexed citations
8.
Xu, Chengming, et al.. (2024). Research progress on the main brain network mechanisms of sleep disorders in autism spectrum disorder. Current Psychology. 43(40). 31674–31685. 1 indexed citations
9.
Shi, Xiao, Youyong Tang, Weiyu Li, et al.. (2023). Effects of NGS-based PGT-a for idiopathic recurrent pregnancy loss and implantation failure: a retrospective cohort study. Systems Biology in Reproductive Medicine. 69(5). 354–365. 1 indexed citations
10.
Xu, Chengming, Hui Lin, Li Wang, et al.. (2022). Pre-Implantation Genetic Testing for Aneuploidy on a Semiconductor Based Next-Generation Sequencing Platform. Journal of Visualized Experiments. 2 indexed citations
11.
Xu, Chengming, Chen Liu, Siqian Yang, et al.. (2022). Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning. Proceedings of the 30th ACM International Conference on Multimedia. 2719–2729. 4 indexed citations
12.
Xu, Chengming, Yanwei Fu, Chen Liu, et al.. (2021). Learning Dynamic Alignment via Meta-filter for Few-shot Learning. 5178–5187. 91 indexed citations
13.
Wang, Yikai, Chengming Xu, Chen Liu, Li Zhang, & Yanwei Fu. (2020). Instance Credibility Inference for Few-Shot Learning. 12833–12842. 139 indexed citations
14.
Liu, Chen, Chengming Xu, Yikai Wang, Li Zhang, & Yanwei Fu. (2020). An Embarrassingly Simple Baseline to One-shot Learning. 9 indexed citations
15.
Xu, Chengming, Yanwei Fu, Chao Wen, et al.. (2020). Pose-Guided Person Image Synthesis in the Non-Iconic Views. IEEE Transactions on Image Processing. 29. 9060–9072. 10 indexed citations
16.
Xu, Chengming, Yanwei Fu, Bing Zhang, et al.. (2019). Learning to Score Figure Skating Sport Videos. IEEE Transactions on Circuits and Systems for Video Technology. 30(12). 4578–4590. 90 indexed citations
17.
Chu, Liang, Yuqin Hu, Yinghao Jiang, et al.. (2019). Effects of RNA binding protein QKI on pancreatic cancer ductal epithelial cells and surrounding activation fibroblasts. Journal of Cellular Biochemistry. 120(7). 11551–11561. 10 indexed citations
18.
Zhai, Dongsheng, Zichen Ye, Yinghao Jiang, et al.. (2017). MOTS-c peptide increases survival and decreases bacterial load in mice infected with MRSA. Molecular Immunology. 92. 151–160. 55 indexed citations
19.
Wang, Li, Dongsheng Zhai, Banjun Ruan, et al.. (2017). Quaking Deficiency Amplifies Inflammation in Experimental Endotoxemia via the Aryl Hydrocarbon Receptor/Signal Transducer and Activator of Transcription 1–NF-κB Pathway. Frontiers in Immunology. 8. 1754–1754. 28 indexed citations
20.
Lai, Guoming, et al.. (2014). On Nonsmooth Semi-Infinite Minimax Programming Problem with(Φ,ρ)-Invexity. Abstract and Applied Analysis. 2014. 1–7. 1 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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