Luzheng Bi

2.5k total citations · 1 hit paper
98 papers, 1.8k citations indexed

About

Luzheng Bi is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Luzheng Bi has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 35 papers in Cellular and Molecular Neuroscience and 32 papers in Human-Computer Interaction. Recurrent topics in Luzheng Bi's work include EEG and Brain-Computer Interfaces (76 papers), Neuroscience and Neural Engineering (35 papers) and Gaze Tracking and Assistive Technology (32 papers). Luzheng Bi is often cited by papers focused on EEG and Brain-Computer Interfaces (76 papers), Neuroscience and Neural Engineering (35 papers) and Gaze Tracking and Assistive Technology (32 papers). Luzheng Bi collaborates with scholars based in China, United States and Singapore. Luzheng Bi's co-authors include Yili Liu, Xinan Fan, Aberham Genetu Feleke, Cuntai Guan, Teng Teng, Yun Lu, Hongqi Li, Hongsheng Ding, Mingtao Wang and Cuie Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Luzheng Bi

94 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration

2019 284 citations Luzheng Bi, Aberham Genetu Feleke et al. profile →

Peers

Luzheng Bi

CN

CMN

HI

BE

SP

Javier Mínguez Spain

Teodiano Bastos-Filho Brazil

Hongtao Wang China

Ricardo Chavarriaga Switzerland

Muhammad Jawad Khan Pakistan

Sheng‐Fu Liang Taiwan

Bruno Arnaldi France

Rafael Barea Spain

Martin Bogdan Germany

Luis Montesano Spain

Javier Mínguez Spain

Luzheng Bi

1.9k ×1.5

CN

882 ×1.5

CMN

631 ×1.3

HI

553 ×1.5

BE

97 ×0.4

SP

Citations per year, relative to Luzheng Bi Luzheng Bi (= 1×) peers Javier Mínguez

Countries citing papers authored by Luzheng Bi

Since Specialization

Citations

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

Fields of papers citing papers by Luzheng Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luzheng Bi

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

1.

Bi, Luzheng, et al.. (2025). Brain-inspired deep learning model for EEG-based low-quality video target detection with phased encoding and aligned fusion. Expert Systems with Applications. 288. 128189–128189. 1 indexed citations

2.

Zhang, Peiyu, Daxin Tian, Jianshan Zhou, et al.. (2024). Efficient Robust Model Predictive Control for Behaviorally Stable Vehicle Platoons. IEEE Transactions on Intelligent Transportation Systems. 26(2). 1671–1688. 4 indexed citations

3.

Liu, Ying, et al.. (2024). Robust sound target detection based on encoding and decoding models between sound and EEG signals. Expert Systems with Applications. 266. 126127–126127. 3 indexed citations

4.

Liu, Manyu, et al.. (2024). Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography. Sensors. 24(19). 6304–6304.

5.

Li, Hongqi, Luzheng Bi, Xiaoya Li, & Hongping Gan. (2024). Robust Predictive Control for EEG-Based Brain–Robot Teleoperation. IEEE Transactions on Intelligent Transportation Systems. 25(8). 9130–9140. 11 indexed citations

6.

Luo, Longxi, et al.. (2023). A Visual-Based Approach for Driver’s Environment Perception and Quantification in Different Weather Conditions. Applied Sciences. 13(22). 12176–12176. 2 indexed citations

7.

Bi, Luzheng, et al.. (2023). EEG-Based Motor BCIs for Upper Limb Movement: Current Techniques and Future Insights. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4413–4427. 15 indexed citations

8.

Bi, Luzheng, et al.. (2022). Using Non-linear Dynamics of EEG Signals to Classify Primary Hand Movement Intent Under Opposite Hand Movement. Frontiers in Neurorobotics. 16. 845127–845127. 3 indexed citations

9.

Li, Enhua, et al.. (2020). Brain-Controlled Leader-Follower Robot Formation Based on Model Predictive Control. 290–295. 3 indexed citations

10.

Wang, Xiaoguang, et al.. (2019). EEG-Based Recognition Method of Intentional and Unintentional Hand Movement. 5480–5484. 4 indexed citations

11.

Wang, Hui‐Kang, Luzheng Bi, & Teng Teng. (2019). Neural correlates and detection of braking intention under critical situations based on the power spectra of electroencephalography signals. Science China Information Sciences. 63(1). 3 indexed citations

12.

Lu, Yun, et al.. (2018). Mathematical Modeling of EEG Signals-Based Brain-Control Behavior. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(8). 1535–1543. 11 indexed citations

13.

Wang, Hui‐Kang, Luzheng Bi, & Teng Teng. (2017). EEG-based emergency braking intention prediction for brain-controlled driving considering one electrode falling-off. PubMed. 2017. 2494–2497. 5 indexed citations

14.

Bi, Luzheng, Mingtao Wang, Yun Lu, & Aberham Genetu Feleke. (2016). A shared controller for brain-controlled assistive vehicles. 125–129. 17 indexed citations

15.

Fan, Xinan, Luzheng Bi, Teng Teng, Hongsheng Ding, & Yili Liu. (2014). A Brain–Computer Interface-Based Vehicle Destination Selection System Using P300 and SSVEP Signals. IEEE Transactions on Intelligent Transportation Systems. 16(1). 274–283. 69 indexed citations

16.

Bi, Luzheng, et al.. (2014). A driver-vehicle interface based on ERD/ERS potentials and alpha rhythm. 2 indexed citations

17.

Bi, Luzheng, et al.. (2014). Detecting Driver Normal and Emergency Lane-Changing Intentions With Queuing Network-Based Driver Models. International Journal of Human-Computer Interaction. 31(2). 139–145. 30 indexed citations

18.

Bi, Luzheng, Omer Tsimhoni, & Yili Liu. (2010). Using the Support Vector Regression Approach to Model Human Performance. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 41(3). 410–417. 19 indexed citations

19.

Bi, Luzheng, Omer Tsimhoni, & Yili Liu. (2009). Using Image-Based Metrics to Model Pedestrian Detection Performance With Night-Vision Systems. IEEE Transactions on Intelligent Transportation Systems. 10(1). 155–164. 23 indexed citations

20.

Bi, Luzheng. (2004). Study on the Characteristics Detection of Brain Information Processing. Journal of Beijing Institute of Technology. 1 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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