Xiangrui Li

2.9k total citations
39 papers, 732 citations indexed

About

Xiangrui Li is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangrui Li has authored 39 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Cognitive Neuroscience and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangrui Li's work include Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (6 papers) and Visual perception and processing mechanisms (5 papers). Xiangrui Li is often cited by papers focused on Neural dynamics and brain function (6 papers), Functional Brain Connectivity Studies (6 papers) and Visual perception and processing mechanisms (5 papers). Xiangrui Li collaborates with scholars based in United States, China and Japan. Xiangrui Li's co-authors include Zhong‐Lin Lu, Arnaud D’Argembeau, Antoine Bechara, Yifeng Zhou, Audie G. Leventhal, Tianmiao Hua, Yong Wang, Pengjing Xu, Jianzhong Jin and Tiande Shou and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Xiangrui Li

33 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiangrui Li United States	10	469	119	88	80	77	39	732
Tibor Auer United Kingdom	16	948 2.0×	67 0.6×	107 1.2×	59 0.7×	62 0.8×	51	1.3k
Matthias Guggenmos Germany	15	566 1.2×	89 0.7×	157 1.8×	28 0.3×	45 0.6×	27	776
Victor M. Vergara United States	20	885 1.9×	72 0.6×	216 2.5×	59 0.7×	166 2.2×	71	1.3k
Jane Maryam Rondina United Kingdom	13	716 1.5×	112 0.9×	104 1.2×	57 0.7×	108 1.4×	22	1.2k
Jessica Schrouff Belgium	19	927 2.0×	81 0.7×	195 2.2×	37 0.5×	81 1.1×	29	1.3k
Caio Seguin Australia	15	965 2.1×	56 0.5×	176 2.0×	63 0.8×	37 0.5×	33	1.3k
Frank Morales Cuba	4	750 1.6×	50 0.4×	78 0.9×	46 0.6×	33 0.4×	8	1.0k
Rudolph Pienaar United States	16	683 1.5×	47 0.4×	48 0.5×	67 0.8×	50 0.6×	31	1.3k
Keith Jamison United States	18	913 1.9×	98 0.8×	96 1.1×	48 0.6×	77 1.0×	44	1.1k

Countries citing papers authored by Xiangrui Li

Since Specialization

Citations

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

Fields of papers citing papers by Xiangrui Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangrui Li

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

Dai, Bing, Liang Zhang, Jie Liu, et al.. (2025). Effect of pulmonary rehabilitation for patients with long COVID-19: a systematic review and meta-analysis of randomized controlled trials. Therapeutic Advances in Respiratory Disease. 19. 2703902810–2703902810. 3 indexed citations

Li, Xiangrui, D. J. Kong, Hongmei Liu, et al.. (2025). Site‐Specific Mitochondrial RNA N1‐Methyladenosine Demethylation via an Engineered MTS‐PUF‐ALKBH3 Fusion Protein. Advanced Science. 13(1). e10482–e10482.

Liu, Wenjuan, Limin Zhang, Xiangrui Li, et al.. (2025). A semisupervised knowledge distillation model for lung nodule segmentation. Scientific Reports. 15(1). 10562–10562. 1 indexed citations

Li, Xin, et al.. (2023). Learning Compact Features via In-Training Representation Alignment. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8675–8683.

Fogt, Nick, et al.. (2022). Functional magnetic resonance imaging activation for different vergence eye movement subtypes. Ophthalmic and Physiological Optics. 43(1). 93–104. 9 indexed citations

Li, Xiangrui, et al.. (2022). Existence of solutions to elliptic equation with mixed local and nonlocal operators. AIMS Mathematics. 7(7). 13313–13324. 5 indexed citations

Jeon, Minjeong, et al.. (2021). Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation. Psychometrika. 86(1). 239–271. 5 indexed citations

Li, Xiangrui, et al.. (2021). Hybrid auditory fMRI: In pursuit of increasing data acquisition while decreasing the impact of scanner noise. Journal of Neuroscience Methods. 358. 109198–109198. 2 indexed citations

Jeon, Minjeong, Paul De Boeck, Xiangrui Li, & Zhong‐Lin Lu. (2020). Trivariate Theory of Mind Data Analysis with a Conditional Joint Modeling Approach. Psychometrika. 85(2). 398–436. 1 indexed citations

10.

Turner, Brandon M., et al.. (2019). Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability. Brain Connectivity. 9(6). 451–463. 8 indexed citations

11.

Li, Xiangrui, Dongxiao Zhu, & Phillip D. Levy. (2018). Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research. BMC Medical Informatics and Decision Making. 18(S4). 126–126. 9 indexed citations

12.

Li, Xiangrui, et al.. (2018). Hierarchical Bayesian Analyses for Modeling BOLD Time Series Data. Computational Brain & Behavior. 1(2). 184–213. 9 indexed citations

13.

Li, Xiangrui, Dongxiao Zhu, & Ming Dong. (2017). Multinomial classification with class-conditional overlapping sparse feature groups. Pattern Recognition Letters. 101. 37–43. 5 indexed citations

14.

Gong, Haijun, et al.. (2015). A novel procedure for statistical inference and verification of gene regulatory subnetwork. BMC Bioinformatics. 16(S7). S7–S7. 6 indexed citations

15.

Li, Xiangrui, et al.. (2014). A Multi-Method Approach to Curriculum Development for In-Service Training in China’s Newly Established Health Emergency Response Offices. PLoS ONE. 9(6). e100892–e100892. 4 indexed citations

16.

Li, Xiangrui & Zhong‐Lin Lu. (2012). Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers. Journal of Visualized Experiments. 9 indexed citations

17.

Li, Xiangrui, et al.. (2009). The Iowa Gambling Task in fMRI images. Human Brain Mapping. 31(3). 410–423. 255 indexed citations

18.

Hua, Tianmiao, et al.. (2005). Functional degradation of visual cortical cells in old cats. Neurobiology of Aging. 27(1). 155–162. 129 indexed citations

19.

Li, Xiangrui, Zhong‐Lin Lu, Pengjing Xu, Jianzhong Jin, & Yifeng Zhou. (2003). Generating high gray-level resolution monochrome displays with conventional computer graphics cards and color monitors. Journal of Neuroscience Methods. 130(1). 9–18. 96 indexed citations

20.

Shou, Tiande, Xiangrui Li, Yifeng Zhou, & Bing Hu. (1996). Adaptation of visually evoked responses of relay cells in the dorsal lateral geniculate nucleus of the cat following prolonged exposure to drifting gratings. Visual Neuroscience. 13(4). 605–613. 67 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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