Bao‐Liang Lu

19.1k total citations · 9 hit papers
268 papers, 11.8k citations indexed

About

Bao‐Liang Lu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Bao‐Liang Lu has authored 268 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cognitive Neuroscience, 105 papers in Experimental and Cognitive Psychology and 90 papers in Artificial Intelligence. Recurrent topics in Bao‐Liang Lu's work include EEG and Brain-Computer Interfaces (110 papers), Emotion and Mood Recognition (73 papers) and Gaze Tracking and Assistive Technology (43 papers). Bao‐Liang Lu is often cited by papers focused on EEG and Brain-Computer Interfaces (110 papers), Emotion and Mood Recognition (73 papers) and Gaze Tracking and Assistive Technology (43 papers). Bao‐Liang Lu collaborates with scholars based in China, Japan and United States. Bao‐Liang Lu's co-authors include Wei‐Long Zheng, Jiayi Zhu, Li-Chen Shi, Xiao‐Wei Wang, Wei Liu, Yong Peng, Yifei Lu, Andrzej Cichocki, Mu Li and Yun Luo and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Bao‐Liang Lu

249 papers receiving 11.5k citations

Hit Papers

5 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.

Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks

2015 1.6k citations Wei‐Long Zheng, Bao‐Liang Lu profile →
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

2018 803 citations Wei‐Long Zheng, Wei Liu et al. profile →
Differential entropy feature for EEG-based emotion classification

2013 732 citations Bao‐Liang Lu et al. profile →
Identifying Stable Patterns over Time for Emotion Recognition from EEG

2017 693 citations Wei‐Long Zheng, Bao‐Liang Lu et al. IEEE Transactions on Affective Computing profile →
Emotional state classification from EEG data using machine learning approach

2013 561 citations Bao‐Liang Lu et al. profile →
A multimodal approach to estimating vigilance using EEG and forehead EOG

2017 276 citations Wei‐Long Zheng, Bao‐Liang Lu Journal of Neural Engineering profile →
Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016

2020 255 citations Bao‐Liang Lu et al. profile →
Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition

2022 243 citations Wei Liu, Wei‐Long Zheng et al. profile →
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition

2022 147 citations Wei‐Long Zheng, Bao‐Liang Lu et al. Journal of Neural Engineering profile →

Peers

Bao‐Liang Lu

ECP

CVPR

Thierry Pun Switzerland

Wenming Zheng China

Ioannis Patras United Kingdom

Jong‐Seok Lee South Korea

Touradj Ebrahimi Switzerland

Dewen Hu China

Qiang Ji United States

Cuntai Guan Singapore

Seong‐Whan Lee South Korea

Guoying Zhao Finland

Thierry Pun Switzerland

Bao‐Liang Lu

4.7k ×0.6

4.6k ×0.7

ECP

1.2k ×0.5

972 ×0.5

4.9k ×2.6

CVPR

Citations per year, relative to Bao‐Liang Lu Bao‐Liang Lu (= 1×) peers Thierry Pun

Countries citing papers authored by Bao‐Liang Lu

Since Specialization

Citations

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

Fields of papers citing papers by Bao‐Liang Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao‐Liang Lu. 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 Bao‐Liang Lu. The network helps show where Bao‐Liang Lu may publish in the future.

Co-authorship network of co-authors of Bao‐Liang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Bao‐Liang Lu. A scholar is included among the top collaborators of Bao‐Liang Lu 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 Bao‐Liang Lu. Bao‐Liang Lu 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

Li, Zuchao, et al.. (2025). BatGPT-Chem: A Foundation Large Model for Chemical Engineering. Research. 8. 827–827. 1 indexed citations

Peng, Yong, Jiangchuan Liu, Natasha Padfield, et al.. (2025). Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification. IEEE Journal of Biomedical and Health Informatics. 30(2). 1115–1127.

Zheng, Wei‐Long, et al.. (2025). Investigating the Effects of Sleep Conditions on Emotion Responses with EEG Signals and Eye Movements. IEEE Transactions on Affective Computing. 16(4). 3198–3214.

Zheng, Wei‐Long, et al.. (2025). Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition. IEEE Transactions on Affective Computing. 16(4). 3055–3066. 1 indexed citations

Peng, Dan, et al.. (2023). Identifying sex differences in EEG-based emotion recognition using graph convolutional network with attention mechanism. Journal of Neural Engineering. 20(6). 66010–66010. 7 indexed citations

Liu, Wei, et al.. (2022). Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French People. Journal of Neural Engineering. 19(2). 26012–26012. 49 indexed citations

Peng, Yong, et al.. (2022). Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Transactions on Affective Computing. 13(4). 1941–1958. 38 indexed citations

Peng, Yong, et al.. (2022). Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Transactions on Industrial Informatics. 19(7). 8104–8115. 36 indexed citations

Peng, Yong, et al.. (2022). Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG. Systems. 10(2). 47–47. 12 indexed citations

10.

Peng, Yong, et al.. (2022). Cross-Session Emotion Recognition by Joint Label-Common and Label-Specific EEG Features Exploration. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 759–768. 21 indexed citations

11.

Li, Xing, et al.. (2022). Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition. IEEE Transactions on Circuits & Systems II Express Briefs. 69(7). 3349–3353. 16 indexed citations

12.

Peng, Yong, et al.. (2022). Two-Dimensional Embedded Fuzzy Data Clustering. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(4). 1263–1275. 2 indexed citations

13.

Peng, Yong, et al.. (2022). An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 19 indexed citations

14.

Peng, Yong, Wanzeng Kong, Feiwei Qin, et al.. (2021). Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 29 indexed citations

15.

Zhang, Zhuosheng, et al.. (2021). When SMILES Smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing. IEEE Access. 9. 85071–85083. 21 indexed citations

16.

Luo, Yudong, et al.. (2017). EEG-based emotion recognition using domain adaptation network. 222–225. 47 indexed citations

17.

Wang, Rui, Hai Zhao, Bao‐Liang Lu, Masao Utiyama, & Eiichiro Sumita. (2014). Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation. 189–195. 22 indexed citations

18.

Wang, Xiaolin, Hai Zhao, & Bao‐Liang Lu. (2013). BCMI-NLP Labeled-Alignment-Based Entailment System for NTCIR-10 RITE-2 Task. NTCIR. 3 indexed citations

19.

Li, Bing, Rong Xiao, Zhiwei Li, et al.. (2011). Rank-SIFT: Learning to rank repeatable local interest points. 1737–1744. 34 indexed citations

20.

Zhang, Shaodian, Hai Zhao, Guodong Zhou, & Bao‐Liang Lu. (2010). Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection. 92–99. 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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