Lu Bai

2.2k total citations · 4 hit papers
81 papers, 1.4k citations indexed

About

Lu Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Lu Bai has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Lu Bai's work include Advanced Graph Neural Networks (32 papers), Face and Expression Recognition (10 papers) and Graph Theory and Algorithms (9 papers). Lu Bai is often cited by papers focused on Advanced Graph Neural Networks (32 papers), Face and Expression Recognition (10 papers) and Graph Theory and Algorithms (9 papers). Lu Bai collaborates with scholars based in China, United Kingdom and United States. Lu Bai's co-authors include Edwin R. Hancock, Lixin Cui, Zhihong Zhang, Luca Rossi, Xiao Bai, Ming Li, Jun Zhou, Lixiang Xu, Philip S. Yu and Peng Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Lu Bai

75 papers receiving 1.4k 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.

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation

2023 80 citations Ming Li, Lin Zhang et al. Pattern Recognition profile →
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification

2024 65 citations Lu Bai, Lixin Cui et al. IEEE Transactions on Knowledge and Data Engineering profile →
Metalantis: A Comprehensive Underwater Image Enhancement Framework

2024 58 citations Hao Wang, Weibo Zhang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation

2025 17 citations Ming Li, Lu Bai et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Bai China	23	700	526	164	130	112	81	1.4k
Francesco Camastra Italy	19	900 1.3×	779 1.5×	144 0.9×	234 1.8×	98 0.9×	39	1.8k
Min Lin China	15	831 1.2×	991 1.9×	111 0.7×	140 1.1×	60 0.5×	40	1.9k
Aruna Tiwari India	17	1.1k 1.6×	503 1.0×	97 0.6×	69 0.5×	204 1.8×	117	2.0k
Francesco Masulli Italy	18	786 1.1×	491 0.9×	86 0.5×	157 1.2×	129 1.2×	113	1.5k
Habiboulaye Amadou Boubacar France	3	798 1.1×	477 0.9×	92 0.6×	68 0.5×	64 0.6×	6	1.8k
Zhihong Zhang China	21	369 0.5×	446 0.8×	76 0.5×	143 1.1×	59 0.5×	124	1.3k
Dejing Dou China	26	1.3k 1.8×	518 1.0×	100 0.6×	98 0.8×	237 2.1×	109	2.3k
Yun Li China	17	659 0.9×	326 0.6×	103 0.6×	87 0.7×	197 1.8×	106	1.4k
Xiaohan Wang China	25	812 1.2×	974 1.9×	178 1.1×	82 0.6×	47 0.4×	130	1.9k
Stefano Rovetta Italy	17	791 1.1×	670 1.3×	83 0.5×	243 1.9×	118 1.1×	103	1.6k

Countries citing papers authored by Lu Bai

Since Specialization

Citations

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

Fields of papers citing papers by Lu Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Bai

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

Ji, Xiang, et al.. (2026). Microvascular architecture and physiological fluctuations constrain the control of cerebral microcirculation. Proceedings of the National Academy of Sciences. 123(3). e2521872123–e2521872123.

Li, Ming, Lu Bai, Changqin Huang, et al.. (2025). FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation. Pattern Recognition. 161. 111340–111340. 17 indexed citations breakdown →

Xu, Lixiang, et al.. (2025). Multi-Level Knowledge Distillation with Positional Encoding Enhancement. Pattern Recognition. 163. 111458–111458. 1 indexed citations

Bai, Lu, Lixin Cui, Ming Li, et al.. (2025). AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Transactions on Knowledge and Data Engineering. 37(3). 1064–1078. 1 indexed citations

Xu, Lixiang, Xin Yuan, Lu Bai, et al.. (2025). Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing. IEEE Transactions on Cybernetics. 56(1). 235–248.

Wang, Wenjian, et al.. (2025). Learning robust MLPs on graphs via cross-layer distillation from a causal perspective. Pattern Recognition. 162. 111367–111367. 1 indexed citations

Wang, Sheng, et al.. (2024). Guiding fusion of dynamic functional and effective connectivity in spatio-temporal graph neural network for brain disorder classification. Knowledge-Based Systems. 309. 112856–112856. 2 indexed citations

Wang, Hao, Weibo Zhang, Lu Bai, & Peng Ren. (2024). Metalantis: A Comprehensive Underwater Image Enhancement Framework. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 58 indexed citations breakdown →

Bai, Liang, et al.. (2024). Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework. International Journal of Machine Learning and Cybernetics. 15(10). 4357–4372. 5 indexed citations

10.

Liang, Sophie Hsin‐Yi, et al.. (2024). How parenting styles affect primary school students’ subjective well-being? The mediating role of self-concept and emotional intelligence. Frontiers in Psychology. 15. 1425777–1425777.

11.

Li, Ming, Lin Zhang, Lixin Cui, et al.. (2023). BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. Pattern Recognition. 144. 109874–109874. 80 indexed citations breakdown →

12.

Xu, Zhuo, et al.. (2023). Extracting Financial Subdomain Documents via An Interpretable Writing Style Pattern. 7. 684–691.

13.

Bai, Lu, Yuhang Jiao, Lixin Cui, et al.. (2022). Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3132–3133. 1 indexed citations

14.

Xu, Lixiang, Xiaofeng Wang, Lu Bai, et al.. (2020). Probabilistic SVM classifier ensemble selection based on GMDH-type neural network. Pattern Recognition. 106. 107373–107373. 24 indexed citations

15.

Liu, Yan, et al.. (2017). Parenting Styles and Adolescents’ School Adjustment: Investigating the Mediating Role of Achievement Goals within the 2 × 2 Framework. Frontiers in Psychology. 8. 1809–1809. 18 indexed citations

16.

Hu, Qinghao, Jiaxiang Wu, Lu Bai, Yifan Zhang, & Jian Cheng. (2017). Fast K-means for Large Scale Clustering. 2099–2102. 8 indexed citations

17.

Lei, Xuemei, Zhuo Rachel Han, Chuansheng Chen, et al.. (2016). Sex Differences in Fiber Connection between the Striatum and Subcortical and Cortical Regions. Frontiers in Computational Neuroscience. 10. 100–100. 11 indexed citations

18.

Bai, Lu, Luca Rossi, Zhihong Zhang, & Edwin R. Hancock. (2015). An Aligned Subtree Kernel for Weighted Graphs. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 30–39. 19 indexed citations

19.

Bai, Lu, et al.. (2015). A graph kernel based on the Jensen-Shannon representation alignment. International Conference on Artificial Intelligence. 3322–3328. 8 indexed citations

20.

Bai, Lu, Peng Ren, & Edwin R. Hancock. (2014). A Hypergraph Kernel from Isomorphism Tests. 3880–3885. 7 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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