Cunlu Xu

699 total citations
22 papers, 537 citations indexed

About

Cunlu Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Cunlu Xu has authored 22 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Cunlu Xu's work include Image Retrieval and Classification Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Machine Learning and ELM (3 papers). Cunlu Xu is often cited by papers focused on Image Retrieval and Classification Techniques (4 papers), Multimodal Machine Learning Applications (4 papers) and Machine Learning and ELM (3 papers). Cunlu Xu collaborates with scholars based in China, United Kingdom and Canada. Cunlu Xu's co-authors include Tianzi Jiang, Yuan Zhou, Lei Lin, Zhijun Yao, Yuanchao Zhang, Ming Fan, Bing Liu, Wei Feng, Daniel Gaudet and Michał Abrahamowicz and has published in prestigious journals such as Molecular Psychiatry, PLoS Computational Biology and Neuroreport.

In The Last Decade

Cunlu Xu

18 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cunlu Xu China	7	357	177	128	117	52	22	537
Madelaine Daianu United States	14	415 1.2×	352 2.0×	145 1.1×	146 1.2×	46 0.9×	25	634
Xiaowei Zhuang United States	16	330 0.9×	188 1.1×	58 0.5×	66 0.6×	36 0.7×	44	637
Frank de Vos Netherlands	11	358 1.0×	213 1.2×	90 0.7×	165 1.4×	40 0.8×	22	620
Nicolas Honnorat United States	13	273 0.8×	160 0.9×	80 0.6×	161 1.4×	42 0.8×	30	548
Igor O. Korolev United States	8	218 0.6×	107 0.6×	130 1.0×	180 1.5×	43 0.8×	10	557
Laura W. de Jong Netherlands	8	244 0.7×	199 1.1×	149 1.2×	213 1.8×	49 0.9×	9	574
Tijn M. Schouten Netherlands	10	298 0.8×	211 1.2×	92 0.7×	159 1.4×	35 0.7×	14	517
Weihao Zheng China	16	579 1.6×	261 1.5×	74 0.6×	137 1.2×	57 1.1×	76	881
Weikai Li China	16	384 1.1×	169 1.0×	42 0.3×	130 1.1×	33 0.6×	45	627

Countries citing papers authored by Cunlu Xu

Since Specialization

Citations

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

Fields of papers citing papers by Cunlu Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunlu Xu

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

All Works

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20 of 20 papers shown

Wang, Bin, et al.. (2025). Multi-stage feature fusion network for polyp segmentation. Applied Soft Computing. 175. 113034–113034.

Xu, Cunlu, et al.. (2025). ADBNet: Asymmetric dual-branch network for indoor real-time RGB-D semantic segmentation. Knowledge-Based Systems. 326. 113885–113885.

Xu, Cunlu, et al.. (2025). CIFFormer: A Contextual Information Flow Guided Transformer for colorectal polyp segmentation. Neurocomputing. 644. 130413–130413.

Wang, Bin, et al.. (2025). MFAINet: Multi-receptive field feature fusion with attention-integrated for polyp segmentation. IEEE/CAA Journal of Automatica Sinica. 1–15. 1 indexed citations

Lin, Long, et al.. (2024). Polyp-LVT: Polyp segmentation with lightweight vision transformers. Knowledge-Based Systems. 300. 112181–112181. 11 indexed citations

Su, Wei, Lei Liu, Jing Zhang, et al.. (2024). Enhancing Chinese–Braille translation: A two-part approach with token prediction and segmentation labeling. Displays. 84. 102819–102819. 1 indexed citations

Su, Wei, et al.. (2023). Pre-training model for low-resource Chinese–Braille translation. Displays. 79. 102506–102506. 4 indexed citations

Su, Wei, et al.. (2023). Translating Braille into Chinese based on improved CBHG model. Displays. 78. 102445–102445. 3 indexed citations

Xu, Cunlu, et al.. (2022). Deep Transfer Learning Method Based on Automatic Domain Alignment and Moment Matching. Mathematics. 10(14). 2531–2531. 4 indexed citations

10.

Xu, Cunlu, et al.. (2020). Balanced joint maximum mean discrepancy for deep transfer learning. Analysis and Applications. 19(3). 491–508. 6 indexed citations

11.

Bai, Fang, Hong Ding, Yingying Lü, et al.. (2019). Prediction of the Antioxidant Response Elements' Response of Compound by Deep Learning. Frontiers in Chemistry. 7. 385–385. 11 indexed citations

12.

Yang, Yong, et al.. (2018). Kernel Extreme Learning Machine Based Domain Adaptation. Lanzhou University Institutional Repository. 593–597. 2 indexed citations

13.

Xing, Lei, et al.. (2015). An improved collaborative filtering recommendation algorithm based on case-based reasoning. Lanzhou University Institutional Repository. 740–744. 2 indexed citations

14.

Haghighi, Amirreza, Manon Bernard, Michał Abrahamowicz, et al.. (2013). Opioid receptor mu 1 gene, fat intake and obesity in adolescence. Molecular Psychiatry. 19(1). 63–68. 46 indexed citations

15.

Wang, Shaoliang, et al.. (2013). Classification for Alzheimer's disease based on SVM using a spatial texture feature of cortical thickness. Lanzhou University Institutional Repository. 56. 158–161. 6 indexed citations

16.

Gao, Liang, et al.. (2012). Gender recognition based on multiple scale textural feature. Lanzhou University Institutional Repository. 6. 1262–1266. 3 indexed citations

17.

Xu, Cunlu, et al.. (2010). A new method developed from local binary patterns for dynamic texture recognition. Microcomputer Information. 2 indexed citations

18.

Xu, Cunlu, Zhenhua Wang, Ming Fan, et al.. (2010). Effects of BDNF Val66Met polymorphism on brain metabolism in Alzheimer's disease. Neuroreport. 21(12). 802–807. 19 indexed citations

19.

Fan, Ming, et al.. (2010). Cortical thickness is associated with different apolipoprotein E genotypes in healthy elderly adults. Neuroscience Letters. 479(3). 332–336. 34 indexed citations

20.

Yao, Zhijun, Yuanchao Zhang, Lei Lin, et al.. (2010). Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease. PLoS Computational Biology. 6(11). e1001006–e1001006. 367 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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