Xingfeng Li

1.2k total citations
52 papers, 752 citations indexed

About

Xingfeng Li is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Xingfeng Li has authored 52 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Xingfeng Li's work include Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (12 papers) and Optical Network Technologies (11 papers). Xingfeng Li is often cited by papers focused on Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (12 papers) and Optical Network Technologies (11 papers). Xingfeng Li collaborates with scholars based in China, United Kingdom and Canada. Xingfeng Li's co-authors include Robert F. Hess, Serge O. Dumoulin, Benjamin Thompson, Behzad Mansouri, Dorothee P. Auer, Damien Coyle, T.M. McGinnity, Yue Xing, Liam Maguire and Krish D. Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Xingfeng Li

47 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingfeng Li China 16 392 210 166 91 88 52 752
Irene H. Ludwig United States 16 177 0.5× 115 0.5× 106 0.6× 57 0.6× 55 0.6× 22 670
Rainer Beckmann Germany 16 323 0.8× 33 0.2× 142 0.9× 13 0.1× 156 1.8× 31 770
Sayuki Torii Japan 14 83 0.2× 75 0.4× 87 0.5× 17 0.2× 81 0.9× 68 655
Xia Yang China 12 404 1.0× 28 0.1× 204 1.2× 70 0.8× 44 0.5× 46 684
Sophie de Brouwer United Kingdom 14 321 0.8× 59 0.3× 55 0.3× 16 0.2× 124 1.4× 26 796
Joon Yul Choi South Korea 19 78 0.2× 65 0.3× 736 4.4× 59 0.6× 52 0.6× 68 1.2k
Tomas Watanabe United States 9 172 0.4× 98 0.5× 36 0.2× 155 1.7× 73 0.8× 10 459
Chunlan Yang China 12 181 0.5× 21 0.1× 253 1.5× 29 0.3× 25 0.3× 37 528
Pamela K. Douglas United States 13 222 0.6× 95 0.5× 137 0.8× 133 1.5× 24 0.3× 22 594
Mark M. Bahn United States 15 112 0.3× 92 0.4× 552 3.3× 137 1.5× 192 2.2× 23 1000

Countries citing papers authored by Xingfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Xingfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingfeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xingfeng Li. A scholar is included among the top collaborators of Xingfeng 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 Xingfeng Li. Xingfeng Li 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, Yong, Lei Zhang, Jingchi Li, et al.. (2024). Highly Efficient Slow‐Light Mach–Zehnder Modulator Achieving 0.21 V cm Efficiency with Bandwidth Surpassing 110 GHz. Laser & Photonics Review. 19(8). 10 indexed citations
2.
Doran, Simon, Linda Wedlake, Jessica Winfield, et al.. (2024). Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data. Insights into Imaging. 15(1). 47–47.
3.
Li, Xingfeng, et al.. (2024). Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic features. BMC Medical Research Methodology. 24(1). 107–107. 2 indexed citations
4.
Li, Xingfeng. (2023). An Evaluation Model for Network Security Based on an Optimized Circular Algorithm. Journal of Cyber Security and Mobility. 1 indexed citations
5.
Lei, Jing, et al.. (2023). Qualitative study of the fertility information support experiences of young breast cancer patients. European Journal of Oncology Nursing. 62. 102275–102275. 11 indexed citations
6.
7.
Li, Xingfeng, et al.. (2022). An Integrated Clinical‐MR Radiomics Model to Estimate Survival Time in Patients With Endometrial Cancer. Journal of Magnetic Resonance Imaging. 57(6). 1922–1933. 12 indexed citations
8.
Li, Jingchi, Zhen Wang, Honglin Ji, et al.. (2022). Silicon Photonic Carrier-Assisted Differential Detection Receiver With High Electrical Spectral Efficiency for Short-Reach Interconnects. Journal of Lightwave Technology. 41(3). 919–925. 16 indexed citations
9.
10.
Yuan, Žhong, et al.. (2019). Catheter dwell time and risk of catheter failure in adult patients with peripheral venous catheters. Journal of Clinical Nursing. 28(23-24). 4488–4495. 25 indexed citations
11.
Li, Xingfeng, Elizabeth Kehoe, T.M. McGinnity, Damien Coyle, & Arun L.W. Bokde. (2014). Modulation of Effective Connectivity in the Default Mode Network at Rest and During a Memory Task. Brain Connectivity. 5(1). 60–67. 9 indexed citations
12.
Li, Xingfeng, Damien Coyle, Liam Maguire, & T.M. McGinnity. (2012). A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. Neuroinformatics. 11(1). 105–118. 3 indexed citations
13.
Li, Xingfeng, Damien Coyle, Liam Maguire, et al.. (2010). A least angle regression method for fMRI activation detection in phase-encoded experimental designs. NeuroImage. 52(4). 1390–1400. 9 indexed citations
14.
Li, Xingfeng, Damien Coyle, Liam Maguire, David R. Watson, & T.M. McGinnity. (2010). Gray matter concentration and effective connectivity changes in Alzheimer’s disease: a longitudinal structural MRI study. Neuroradiology. 53(10). 733–748. 49 indexed citations
15.
Hess, Robert F., Xingfeng Li, Behzad Mansouri, Benjamin Thompson, & Bruce C. Hansen. (2009). Selectivity as well as sensitivity loss characterizes the cortical spatial frequency deficit in amblyopia. Human Brain Mapping. 30(12). 4054–4069. 22 indexed citations
16.
Li, Xingfeng, Arnaud Messé, Guillaume Marrelec, Mélanie Pélégrini‐Issac, & Habib Benali. (2009). An enhanced voxel-based morphometry method to investigate structural changes: application to Alzheimer’s disease. Neuroradiology. 52(3). 203–213. 9 indexed citations
17.
Li, Xingfeng, Guillaume Marrelec, Robert F. Hess, & Habib Benali. (2009). A nonlinear identification method to study effective connectivity in functional MRI. Medical Image Analysis. 14(1). 30–38. 25 indexed citations
18.
Lv, Bin, Huiguang He, Xingfeng Li, et al.. (2008). Structural and functional deficits in human amblyopia. Neuroscience Letters. 437(1). 5–9. 21 indexed citations
19.
Li, Xingfeng, Serge O. Dumoulin, Behzad Mansouri, & Robert F. Hess. (2007). Cortical Deficits in Human Amblyopia: Their Regional Distribution and Their Relationship to the Contrast Detection Deficit. Investigative Ophthalmology & Visual Science. 48(4). 1575–1575. 71 indexed citations
20.
Li, Xingfeng, Serge O. Dumoulin, Behzad Mansouri, & Robert F. Hess. (2007). The fidelity of the cortical retinotopic map in human amblyopia. European Journal of Neuroscience. 25(5). 1265–1277. 41 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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