Junjun Li

510 total citations
26 papers, 375 citations indexed

About

Junjun Li is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Ocean Engineering. According to data from OpenAlex, Junjun Li has authored 26 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 5 papers in Biomedical Engineering and 4 papers in Ocean Engineering. Recurrent topics in Junjun Li's work include EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (5 papers) and Motor Control and Adaptation (3 papers). Junjun Li is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (5 papers) and Motor Control and Adaptation (3 papers). Junjun Li collaborates with scholars based in China, Canada and Hong Kong. Junjun Li's co-authors include Zhijun Li, Suna Zhao, Yu Kang, C. L. Philip Chen, Yibo Li, Ying Feng, Yingbai Hu, Xinde Li, Bugong Xu and Yueyue Liu and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Annals of the New York Academy of Sciences.

In The Last Decade

Junjun Li

22 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjun Li China 9 95 93 77 57 52 26 375
Ryo Saegusa Japan 10 83 0.9× 144 1.5× 77 1.0× 92 1.6× 39 0.8× 40 531
Tong Zheng China 10 108 1.1× 83 0.9× 39 0.5× 141 2.5× 46 0.9× 30 483
Wenbin Su China 11 118 1.2× 85 0.9× 90 1.2× 57 1.0× 39 0.8× 34 419
Zhangyan Zhao China 9 111 1.2× 77 0.8× 77 1.0× 63 1.1× 6 0.1× 37 364
Mohammadreza Yazdchi Iran 12 35 0.4× 51 0.5× 63 0.8× 63 1.1× 29 0.6× 44 583
Kristin N. Hageman United States 7 31 0.3× 139 1.5× 50 0.6× 29 0.5× 17 0.3× 11 366
Julien Fleureau France 15 49 0.5× 81 0.9× 282 3.7× 241 4.2× 17 0.3× 30 754
Yuxuan Zhang China 13 28 0.3× 14 0.2× 106 1.4× 25 0.4× 42 0.8× 39 403
Jiayang Huang China 10 26 0.3× 79 0.8× 64 0.8× 68 1.2× 6 0.1× 31 307

Countries citing papers authored by Junjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Junjun Li. A scholar is included among the top collaborators of Junjun 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 Junjun Li. Junjun 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.
Yang, Yang, Junjun Li, Fred Tam, et al.. (2023). Lateralized Functional Connectivity of the Sensorimotor Cortex and its Variations During Complex Visuomotor Tasks. Journal of Neuroscience. 44(5). e0723232023–e0723232023. 1 indexed citations
2.
Wang, Tianliang, et al.. (2023). A study on impacts of groundwater seepage on artificial freezing process of gravel strata. SHILAP Revista de lepidopterología. 2(1). 1–12. 2 indexed citations
3.
Li, Junjun, et al.. (2022). Differences in brain functional networks for audiovisual integration during reading between children and adults. Annals of the New York Academy of Sciences. 1520(1). 127–139. 4 indexed citations
4.
Liu, Zhengyan, Junjun Li, Hong‐Yan Bi, Min Xu, & Yang Yang. (2022). Disruption of Functional Brain Networks Underlies the Handwriting Deficit in Children With Developmental Dyslexia. Frontiers in Neuroscience. 16. 919440–919440. 5 indexed citations
5.
Li, Yizhen, Junjun Li, Yang Yang, & Hong‐Yan Bi. (2022). Disruption of dynamic functional connectivity in children with developmental dyslexia. Language Cognition and Neuroscience. 38(5). 621–635. 3 indexed citations
6.
Li, Guoxin, Zhijun Li, Junjun Li, Yueyue Liu, & Hong Qiao. (2021). Muscle-Synergy-Based Planning and Neural-Adaptive Control for a Prosthetic Arm. IEEE Transactions on Artificial Intelligence. 2(5). 424–436. 30 indexed citations
7.
Li, Junjun, et al.. (2021). Functional brain networks underlying automatic and controlled handwriting in Chinese. Brain and Language. 219. 104962–104962. 4 indexed citations
8.
Li, Junjun, et al.. (2021). Neuroanatomical correlates of self-awareness of highly practiced visuomotor skills. Brain Structure and Function. 226(7). 2295–2306. 3 indexed citations
9.
Yang, Yang, Zhentao Zuo, Fred Tam, et al.. (2021). The brain basis of handwriting deficits in Chinese children with developmental dyslexia. Developmental Science. 25(2). e13161–e13161. 22 indexed citations
10.
Li, Junjun, et al.. (2021). Optimization of construction parameters for fractured horizontal wells in the southern block of eastern Sulige gas field.. IOP Conference Series Earth and Environmental Science. 859(1). 12023–12023. 1 indexed citations
11.
Li, Junjun, Zhijun Li, Xinde Li, et al.. (2020). Skill Learning Strategy Based on Dynamic Motion Primitives for Human–Robot Cooperative Manipulation. IEEE Transactions on Cognitive and Developmental Systems. 13(1). 105–117. 45 indexed citations
12.
Li, Junjun, et al.. (2020). Superpixel-based imaging for residential area detection of high spatial resolution remote sensing imagery. Journal of Applied Remote Sensing. 14(2). 1–1.
13.
Qiu, Shi, et al.. (2020). Detection of Solitary Pulmonary Nodules Based on Brain-Computer Interface. Computational and Mathematical Methods in Medicine. 2020. 1–10. 8 indexed citations
14.
Li, Junjun, Zhijun Li, Fei Chen, et al.. (2019). Combined Sensing, Cognition, Learning, and Control for Developing Future Neuro-Robotics Systems: A Survey. IEEE Transactions on Cognitive and Developmental Systems. 11(2). 148–161. 24 indexed citations
15.
16.
Liao, Qing, Qinqin Fan, & Junjun Li. (2019). Translation control of an immersed tunnel element using a multi-objective differential evolution algorithm. Computers & Industrial Engineering. 130. 158–165. 9 indexed citations
17.
Li, Zhijun, et al.. (2018). Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain–Machine Interfaces. IEEE Transactions on Neural Networks and Learning Systems. 30(12). 3558–3571. 117 indexed citations
18.
Liu, Yiliang, Junjun Li, & Zhijun Li. (2018). An Indoor Navigation Control Strategy for a Brain-Actuated Mobile Robot. 13–18. 1 indexed citations
19.
Liu, Huihu, Shuxun Sang, Michael J Formolo, et al.. (2013). Production characteristics and drainage optimization of coalbed methane wells: A case study from low-permeability anthracite hosted reservoirs in southern Qinshui Basin, China. Energy Sustainable Development. 17(5). 412–423. 46 indexed citations
20.
Li, Junjun. (2009). Theoretical Model of Consumer Acceptance: In the View of Website Quality. 7. 1–4. 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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