Xiuli Liu

1.2k total citations
56 papers, 614 citations indexed

About

Xiuli Liu is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Mechanical Engineering. According to data from OpenAlex, Xiuli Liu has authored 56 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biophysics, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Mechanical Engineering. Recurrent topics in Xiuli Liu's work include Advanced Fluorescence Microscopy Techniques (15 papers), Machine Fault Diagnosis Techniques (9 papers) and Gear and Bearing Dynamics Analysis (8 papers). Xiuli Liu is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (15 papers), Machine Fault Diagnosis Techniques (9 papers) and Gear and Bearing Dynamics Analysis (8 papers). Xiuli Liu collaborates with scholars based in China, United States and United Kingdom. Xiuli Liu's co-authors include Shaoqun Zeng, Wei Zhou, Xiaohua Lv, Qingming Luo, Xueying Zhang, Xiaoli Xu, Shenghua Cheng, Zha Li, Meiying Leng and Jiang Tang and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and The FASEB Journal.

In The Last Decade

Xiuli Liu

50 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiuli Liu China	15	109	105	101	100	93	56	614
Xuemei Dong China	17	248 2.3×	239 2.3×	78 0.8×	337 3.4×	37 0.4×	65	1.1k
Zian Wang China	15	190 1.7×	162 1.5×	26 0.3×	176 1.8×	30 0.3×	55	968
Yuanlong Zhang China	16	37 0.3×	49 0.5×	50 0.5×	119 1.2×	194 2.1×	64	794
Adnan Shakoor Hong Kong	14	36 0.3×	146 1.4×	33 0.3×	86 0.9×	24 0.3×	48	548
Junyu Li China	14	156 1.4×	75 0.7×	29 0.3×	126 1.3×	17 0.2×	79	628
Yunfeng Zhang China	16	40 0.4×	274 2.6×	221 2.2×	61 0.6×	216 2.3×	46	958
Danny Kowerko Germany	14	175 1.6×	162 1.5×	15 0.1×	137 1.4×	81 0.9×	46	541
Zhaoqiang Wang China	12	85 0.8×	92 0.9×	14 0.1×	49 0.5×	111 1.2×	32	522
Zhang Ji China	15	49 0.4×	46 0.4×	12 0.1×	130 1.3×	36 0.4×	69	590
Yuling Yan United States	13	168 1.5×	142 1.4×	150 1.5×	14 0.1×	215 2.3×	52	811

Countries citing papers authored by Xiuli Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiuli Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuli Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuli Liu. A scholar is included among the top collaborators of Xiuli Liu 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 Xiuli Liu. Xiuli Liu 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

Liu, Xiuli, et al.. (2025). Remaining useful life prediction with uncertainty quantification for rotating machinery: A method based on explainable variational deep gaussian process. Neurocomputing. 638. 130232–130232. 4 indexed citations

Wu, Guoxin, et al.. (2025). Multimodal data fusion-driven fault diagnosis of aero-engine bearings using a pseudo-Siamese neural network. Measurement Science and Technology. 36(9). 96132–96132. 1 indexed citations

Zhang, Ying, et al.. (2024). Automatic and accurate reconstruction of long-range axonal projections of single-neuron in mouse brain. eLife. 13.

Liu, Zhenyu, Qi Qiu, Zhenchao Tang, et al.. (2023). Diagnosing and grading gastric atrophy and intestinal metaplasia using semi-supervised deep learning on pathological images: development and validation study. Gastric Cancer. 27(2). 343–354. 14 indexed citations

Li, Ning, et al.. (2023). Multiparameter mobile blood analysis for complete blood count using contrast-enhanced defocusing imaging and machine vision. The Analyst. 148(9). 2021–2034. 4 indexed citations

Li, Guilan, et al.. (2022). METTL3 plays a crucial function in multiple biological processes. Acta Histochemica. 124(6). 151916–151916. 15 indexed citations

Zhang, Zhikun, Qiaoying Chen, Tao Wu, et al.. (2022). Platelets for cancer treatment and drug delivery. Clinical & Translational Oncology. 24(7). 1231–1237. 16 indexed citations

Wei, Ziquan, Shenghua Cheng, Xiuli Liu, & Shaoqun Zeng. (2021). An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Features using Deep Learning.. arXiv (Cornell University). 1 indexed citations

Liu, Sibo, Shenghua Cheng, Ruixi Chen, et al.. (2021). STSRNet: Self-Texture Transfer Super-Resolution and Refocusing Network. IEEE Transactions on Medical Imaging. 41(2). 383–393. 11 indexed citations

10.

Chen, Ruixi, Anan Li, Xiaofeng Cheng, et al.. (2021). Chemical Sectioning for Immunofluorescence Imaging. Analytical Chemistry. 93(25). 8698–8703. 7 indexed citations

11.

Li, Ning, et al.. (2021). High throughput slanted scanning whole slide imaging system for digital pathology. Journal of Biophotonics. 14(6). e202000499–e202000499. 9 indexed citations

12.

Zhang, Huimin, Xiaojun Wang, Anan Li, et al.. (2021). Cross-Streams Through the Ventral Posteromedial Thalamic Nucleus to Convey Vibrissal Information. Frontiers in Neuroanatomy. 15. 724861–724861. 4 indexed citations

13.

Liu, Sibo, Li Chen, Jie Feng, et al.. (2020). PathSRGAN: Multi-Supervised Super-Resolution for Cytopathological Images Using Generative Adversarial Network. IEEE Transactions on Medical Imaging. 39(9). 2920–2930. 38 indexed citations

14.

Xu, Xiaoli & Xiuli Liu. (2020). Fault Diagnosis Method for Wind Turbine Gearbox Based on Image Characteristics Extraction and Actual Value Negative Selection Algorithm. International Journal of Pattern Recognition and Artificial Intelligence. 34(14). 2054034–2054034. 8 indexed citations

15.

Zhou, Hang, Shiwei Li, Anan Li, et al.. (2020). GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population. Neuroinformatics. 19(2). 305–317. 32 indexed citations

16.

Zhang, Xueying, et al.. (2019). Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold. The Journal of Engineering. 2019(23). 8685–8690. 12 indexed citations

17.

Liu, Xiuli, Yurong Liu, Xiaobin He, et al.. (2017). Chemical reactivation of resin-embedded pHuji adds red for simultaneous two-color imaging with EGFP. Biomedical Optics Express. 8(7). 3281–3281. 9 indexed citations

18.

Quan, Tingwei, Xiaohua Lv, Xiuli Liu, & Shaoqun Zeng. (2016). Reconstruction of burst activity from calcium imaging of neuronal population via Lq minimization and interval screening. Biomedical Optics Express. 7(6). 2103–2103. 3 indexed citations

19.

Liu, Xiuli, Xiaohua Lv, Tingwei Quan, & Shaoqun Zeng. (2015). Error estimation for reconstruction of neuronal spike firing from fast calcium imaging. Biomedical Optics Express. 6(2). 421–421. 1 indexed citations

20.

Liu, Xiuli, et al.. (2010). Modulation of synchronous calcium oscillations in hippocampal neurons by photostimulation of astrocytes with femtosecond laser. Chinese Science Bulletin. 55(30). 3436–3440. 3 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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