Jingwei Li

3.6k total citations · 2 hit papers
46 papers, 1.9k citations indexed

About

Jingwei Li is a scholar working on Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jingwei Li has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 10 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jingwei Li's work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (9 papers) and Advanced MRI Techniques and Applications (7 papers). Jingwei Li is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (9 papers) and Advanced MRI Techniques and Applications (7 papers). Jingwei Li collaborates with scholars based in China, United States and Singapore. Jingwei Li's co-authors include B.T. Thomas Yeo, Ru Kong, Csaba Orbán, Avram J. Holmes, Mert R. Sabuncu, Nanbo Sun, Simon B. Eickhoff, Tian Ge, Raphaël Liégeois and Alexander Schaefer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jingwei Li

42 papers receiving 1.9k citations

Hit Papers

Spatial Topography of Individual-Specific Cortical Networ... 2018 2026 2020 2023 2018 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingwei Li China 18 1.3k 534 389 182 136 46 1.9k
Elissa Aminoff United States 18 2.6k 2.0× 366 0.7× 462 1.2× 39 0.2× 181 1.3× 35 3.1k
Reza Khosrowabadi Iran 21 1.0k 0.8× 95 0.2× 352 0.9× 119 0.7× 85 0.6× 103 1.4k
Marko Nardini United Kingdom 28 1.1k 0.9× 303 0.6× 610 1.6× 239 1.3× 68 0.5× 110 2.3k
Marieke L. Schölvinck United Kingdom 17 2.0k 1.5× 476 0.9× 359 0.9× 93 0.5× 172 1.3× 26 2.2k
Zonglei Zhen China 20 1.3k 1.0× 327 0.6× 333 0.9× 67 0.4× 132 1.0× 67 1.6k
Congying Chu China 9 1.7k 1.3× 727 1.4× 402 1.0× 81 0.4× 338 2.5× 32 2.2k
Michael Waskom United States 11 1.4k 1.1× 388 0.7× 411 1.1× 65 0.4× 188 1.4× 15 2.0k
Julien Dubois United States 17 2.0k 1.5× 263 0.5× 413 1.1× 35 0.2× 97 0.7× 35 2.3k
Mark M. Schira Australia 22 1.2k 0.9× 356 0.7× 168 0.4× 84 0.5× 141 1.0× 48 1.7k
Simo Vanni Finland 27 2.1k 1.6× 234 0.4× 174 0.4× 135 0.7× 99 0.7× 64 2.4k

Countries citing papers authored by Jingwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwei Li. A scholar is included among the top collaborators of Jingwei 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 Jingwei Li. Jingwei 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.
Perrault, Aurore A., Valeria Kebets, Nathan Cross, et al.. (2025). Identification of five sleep-biopsychosocial profiles with specific neural signatures linking sleep variability with health, cognition, and lifestyle factors. PLoS Biology. 23(10). e3003399–e3003399.
3.
Zhang, Wei, Yi Lu, Tao Chen, & Jingwei Li. (2025). A Random Forest Algorithm for PCB SMD Defect Detection. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(5). 1135–1142.
4.
Zheng, Jinfeng, Hao Wu, Xiaoyang Cheng, et al.. (2025). N, B co-doped porous carbon materials with high heteroatom content derived from Pleurotus eryngii for high-performance symmetrical supercapacitors. Journal of Energy Storage. 134. 118276–118276.
5.
Zhao, Jinhong, Jingwei Li, Zhenhua Wang, et al.. (2025). New insight into quality changes in bread dough under different state/phase transitions during frozen storage. Food Hydrocolloids. 166. 111319–111319. 2 indexed citations
6.
Nomi, Jason S., Danilo Bzdok, Jingwei Li, et al.. (2024). Systematic cross-sectional age-associations in global fMRI signal topography. Imaging Neuroscience. 2. 2 indexed citations
7.
Zhang, Mo, Haiyan Huang, Jingwei Li, & Qiang Wu. (2024). ZNF143 deletion alters enhancer/promoter looping and CTCF/cohesin geometry. Cell Reports. 43(1). 113663–113663. 13 indexed citations
8.
Zhang, Wanping, et al.. (2023). Evaluation of genetic variation of morphological and clubroot-resistance traits of radish and metabonomic analysis of clubroot-resistant cultivar. Scientia Horticulturae. 321. 112272–112272. 2 indexed citations
9.
Wu, Jianxiao, Jingwei Li, Simon B. Eickhoff, Dustin Scheinost, & Sarah Genon. (2023). The challenges and prospects of brain-based prediction of behaviour. Nature Human Behaviour. 7(8). 1255–1264. 24 indexed citations
10.
Shen, Ziyun, Jingwei Li, Yiran Zhou, et al.. (2023). Drain fluid volume combined with amylase level predicts clinically relevant postoperative pancreatic fistula after pancreaticoduodenectomy: A retrospective clinical study. Journal of Gastroenterology and Hepatology. 38(12). 2228–2237. 1 indexed citations
11.
Shi, Xin, et al.. (2023). DNA polymerases in precise and predictable CRISPR/Cas9-mediated chromosomal rearrangements. BMC Biology. 21(1). 288–288. 5 indexed citations
12.
Chen, Jianzhong, Leon Qi Rong Ooi, Shaoshi Zhang, et al.. (2023). Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study. NeuroImage. 274. 120115–120115. 21 indexed citations
13.
Wu, Jianxiao, Jingwei Li, Simon B. Eickhoff, et al.. (2022). Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns. NeuroImage. 262. 119569–119569. 8 indexed citations
14.
Li, Jingwei, Danilo Bzdok, Angela Tam, et al.. (2022). Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity. Science Advances. 8(11). eabj1812–eabj1812. 68 indexed citations
15.
Ooi, Leon Qi Rong, Jianzhong Chen, Shaoshi Zhang, et al.. (2022). Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI. NeuroImage. 263. 119636–119636. 62 indexed citations
16.
Orbán, Csaba, Ru Kong, Jingwei Li, Michael W.L. Chee, & B.T. Thomas Yeo. (2020). Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity. PLoS Biology. 18(2). e3000602–e3000602. 72 indexed citations
17.
Li, Jingwei, Hao Ge, & Yunxin Zhang. (2020). Fluctuating-rate model with multiple gene states. Journal of Mathematical Biology. 81(4-5). 1099–1141. 1 indexed citations
18.
Kashyap, Rajan, Ru Kong, Sagarika Bhattacharjee, et al.. (2019). Individual-specific fMRI-Subspaces improve functional connectivity prediction of behavior. NeuroImage. 189. 804–812. 45 indexed citations
19.
Li, Jingwei, Ru Kong, Raphaël Liégeois, et al.. (2019). Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage. 196. 126–141. 242 indexed citations breakdown →
20.
Wu, Jianxiao, Gia H. Ngo, Douglas N. Greve, et al.. (2018). Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems. Human Brain Mapping. 39(9). 3793–3808. 68 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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