Lei Xu

8.6k total citations · 1 hit paper
189 papers, 5.2k citations indexed

About

Lei Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Lei Xu has authored 189 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 53 papers in Computer Vision and Pattern Recognition and 43 papers in Signal Processing. Recurrent topics in Lei Xu's work include Neural Networks and Applications (54 papers), Blind Source Separation Techniques (37 papers) and Bayesian Methods and Mixture Models (21 papers). Lei Xu is often cited by papers focused on Neural Networks and Applications (54 papers), Blind Source Separation Techniques (37 papers) and Bayesian Methods and Mixture Models (21 papers). Lei Xu collaborates with scholars based in Hong Kong, China and United States. Lei Xu's co-authors include Erkki Oja, Michael I. Jordan, Adam Krzyżak, Shikui Tu, Yiu‐ming Cheung, Ching Y. Suen, Jinwen Ma, Geoffrey E. Hinton, Heikki Kälviäinen and Zhiyong Liu and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Lei Xu

176 papers receiving 4.9k citations

Hit Papers

A new curve detection method: Randomized Hough transform ... 1990 2026 2002 2014 1990 200 400 600
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.

  1. A new curve detection method: Randomized Hough transform (RHT)
    1990 709 citations Lei Xu, Erkki Oja et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Xu Hong Kong 30 2.3k 2.1k 1.1k 499 473 189 5.2k
Pierre-Antoine Manzagol Canada 7 3.7k 1.6× 3.1k 1.4× 1.2k 1.1× 741 1.5× 266 0.6× 9 8.1k
Yiu‐ming Cheung Hong Kong 43 2.7k 1.2× 3.5k 1.7× 816 0.8× 333 0.7× 178 0.4× 362 6.8k
Michael E. Tipping United Kingdom 19 2.1k 0.9× 1.9k 0.9× 972 0.9× 715 1.4× 163 0.3× 24 5.6k
Nojun Kwak South Korea 29 1.9k 0.8× 2.3k 1.1× 522 0.5× 279 0.6× 232 0.5× 151 4.4k
Mika Sirén Germany 12 2.4k 1.0× 2.8k 1.3× 776 0.7× 664 1.3× 129 0.3× 17 5.9k
Zhiping Lin Singapore 42 2.5k 1.1× 1.8k 0.8× 851 0.8× 1.3k 2.6× 391 0.8× 392 7.1k
Adam Krzyżak Canada 35 3.4k 1.5× 2.7k 1.2× 722 0.7× 1.2k 2.3× 165 0.3× 213 7.3k
Jacek M. Żurada United States 36 3.7k 1.6× 1.7k 0.8× 503 0.5× 1000 2.0× 237 0.5× 208 7.4k
Arthur Gretton Germany 35 3.9k 1.7× 2.1k 1.0× 678 0.6× 732 1.5× 118 0.2× 116 7.5k
Roberto Battiti Italy 28 2.8k 1.2× 1.2k 0.6× 755 0.7× 503 1.0× 252 0.5× 98 6.1k

Countries citing papers authored by Lei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Xu. A scholar is included among the top collaborators of Lei Xu 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 Lei Xu. Lei Xu 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.
Xu, Lei, Xue Han, Jaekyung Sung, et al.. (2025). 4.5‐V‐Class Safe Lithium‐Ion Batteries with Silicon‐Majority‐Graphite Anodes Enabled by Self‐Limiting Interphase. Advanced Materials. 38(7). e15562–e15562. 1 indexed citations
2.
Wang, Meng‐Ru, Xiang Li, Lei Xu, et al.. (2025). Rapid High‐Throughput Discovery of Molecules With Antimicrobial Activity From Natural Products Enabled by a Nanoliter Matrix SlipChip. Small Methods. 9(4). e2402045–e2402045. 3 indexed citations
3.
Bao, Jie, Xuan Zhang, Mao Ye, et al.. (2025). Exploration of Novel Metabolic Mechanisms Underlying Primary Biliary Cholangitis Using Hepatic Metabolomics, Lipidomics, and Proteomics Analysis. Journal of Proteome Research. 24(2). 562–578.
4.
5.
Xu, Lei, Nan Li, Zhao Zhang, et al.. (2025). Dilute Electrolyte with Vehicular Aggregates for Stable High‐Energy Lithium‐Metal Batteries. Advanced Materials. 38(4). e12236–e12236. 3 indexed citations
6.
Wang, Kun, et al.. (2024). Food-related inhibitory control deficits in young male adults with obesity: Behavioral and ERP evidence from a food-related go/no-go task. Physiology & Behavior. 281. 114573–114573. 3 indexed citations
7.
Su, Ruidan, et al.. (2024). A Deep Reinforcement Learning Approach for Portfolio Management in Non‐Short‐Selling Market. IET Signal Processing. 2024(1). 3 indexed citations
8.
Zhou, Jiafeng, et al.. (2023). A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. Patterns. 4(4). 100709–100709. 11 indexed citations
9.
Wei, Changzhu, et al.. (2022). Reinforcement-Learning-Based Tracking Control with Fixed-Time Prescribed Performance for Reusable Launch Vehicle under Input Constraints. Applied Sciences. 12(15). 7436–7436. 6 indexed citations
10.
Xu, Lei, et al.. (2012). Semi-blind bilinear matrix system, BYY harmony learning, and gene analysis applications. 667–672. 2 indexed citations
11.
Xu, Lei. (2007). Phonological variation and word recognition in continuous speech. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
12.
Xu, Lei, et al.. (2003). MIXTURE-OF-EXPERT ARMA-GARCH MODELS FOR STOCK PRICE PREDICTION. 제어로봇시스템학회 국제학술대회 논문집. 402–407. 2 indexed citations
13.
Xu, Lei, et al.. (1999). Further study of adaptive supervised learning decision (ASLD) network in stock market.. 721–725. 2 indexed citations
14.
Guo, Ping, C. C. Cheung, & Lei Xu. (1999). Region number determination in automatic image segmentation based on BKYY model selection criterion.. 743–746. 2 indexed citations
15.
Cheung, Yiu‐ming & Lei Xu. (1999). The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis.. 793–797. 4 indexed citations
16.
Xu, Lei. (1998). BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number.. International Conference on Neural Information Processing. 631–634. 3 indexed citations
17.
Xu, Lei, et al.. (1998). Financial Prediction by Finite Mixture GARCH Model. International Conference on Neural Information Processing. 1351–1354. 7 indexed citations
18.
Xu, Lei, Michael I. Jordan, & Geoffrey E. Hinton. (1994). An Alternative Model for Mixtures of Experts. neural information processing systems. 7. 633–640. 142 indexed citations
19.
Yuille, Alan, Stelios M. Smirnakis, & Lei Xu. (1993). Bayesian Self-Organization. Neural Information Processing Systems. 6. 1001–1008. 4 indexed citations
20.
Oja, Erkki, et al.. (1990). Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. Machine Vision and Applications. 173–176. 8 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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