Lei Cui

2.4k total citations · 2 hit papers
42 papers, 1.0k citations indexed

About

Lei Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lei Cui has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lei Cui's work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Imaging for Blood Diseases (7 papers). Lei Cui is often cited by papers focused on AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Imaging for Blood Diseases (7 papers). Lei Cui collaborates with scholars based in China, United States and Finland. Lei Cui's co-authors include Furu Wei, Tengchao Lv, Yupan Huang, Yutong Lu, Jun Feng, Zhoujun Li, Minghao Li, Yiheng Xu, Lin Yang and Cha Zhang and has published in prestigious journals such as NeuroImage, BMC Bioinformatics and Pattern Recognition.

In The Last Decade

Lei Cui

40 papers receiving 992 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.

LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

2022 181 citations Tengchao Lv, Lei Cui et al. profile →
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models

2023 110 citations Minghao Li, Tengchao Lv et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lei Cui China	19	590	448	207	74	71	42	1.0k
Long Gao China	9	269 0.5×	417 0.9×	101 0.5×	46 0.6×	46 0.6×	22	800
Zhenghua Xu China	20	399 0.7×	554 1.2×	161 0.8×	66 0.9×	188 2.6×	59	1.1k
Wilfrido Gómez‐Flores Mexico	15	211 0.4×	479 1.1×	211 1.0×	47 0.6×	31 0.4×	45	737
Shyr-Shen Yu Taiwan	13	280 0.5×	326 0.7×	140 0.7×	98 1.3×	32 0.5×	79	715
Walid Barhoumi Tunisia	18	460 0.8×	414 0.9×	210 1.0×	38 0.5×	18 0.3×	99	965
Changhee Han Japan	10	325 0.6×	316 0.7×	249 1.2×	29 0.4×	46 0.6×	27	762
Anas Bilal China	18	324 0.5×	302 0.7×	492 2.4×	58 0.8×	28 0.4×	66	1.1k
Haza Nuzly Abdull Hamed Malaysia	12	233 0.4×	483 1.1×	155 0.7×	209 2.8×	75 1.1×	42	1.0k
Badal Soni India	13	346 0.6×	275 0.6×	81 0.4×	41 0.6×	56 0.8×	64	673

Countries citing papers authored by Lei Cui

Since Specialization

Citations

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

Fields of papers citing papers by Lei Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Cui

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

Huang, Peiyu, Lingyun Liu, Yao Zhang, et al.. (2024). Development and validation of a perivascular space segmentation method in multi-center datasets. NeuroImage. 298. 120803–120803. 7 indexed citations

Cui, Lei, Rui Liu, Fan Gao, et al.. (2024). Fishway assessment and monitoring for endemic migratory fish using multiple techniques in high-altitude river systems: A case study from the Yarlung Zangbo River, Southeastern Tibetan Plateau. Global Ecology and Conservation. 56. e03325–e03325. 1 indexed citations

Zhao, Xuan, Yu Zhang, Guan Wang, et al.. (2023). Improving domain generalization performance for medical image segmentation via random feature augmentation. Methods. 218. 149–157. 5 indexed citations

Li, Minghao, Tengchao Lv, Jingye Chen, et al.. (2023). TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13094–13102. 110 indexed citations breakdown →

Wang, Guoxin, Yijuan Lu, Lei Cui, et al.. (2022). A Simple yet Effective Learnable Positional Encoding Method for Improving Document Transformer Model. 453–463. 3 indexed citations

Cui, Lei, et al.. (2022). MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network. BMC Medical Informatics and Decision Making. 22(1). 90–90. 18 indexed citations

Cui, Lei, et al.. (2022). Tear trough ligament reset as a new method for tear trough deformity and dark circles correction. British Journal of Oral and Maxillofacial Surgery. 61(1). 84–88. 4 indexed citations

Xu, Yiheng, et al.. (2021). LayoutReader: Pre-training of Text and Layout for Reading Order Detection. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4735–4744. 29 indexed citations

Pan, Boju, Yan Jin, Lin Yang, et al.. (2021). Automated tumor proportion scoring for PD-L1 expression based on multistage ensemble strategy in non-small cell lung cancer. Journal of Translational Medicine. 19(1). 249–249. 14 indexed citations

10.

Liu, Feihong, et al.. (2021). Boosting Boundary Representation for Gland Instance Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1749–1756. 1 indexed citations

11.

Li, Minghao, Yiheng Xu, Lei Cui, et al.. (2020). DocBank: A Benchmark Dataset for Document Layout Analysis. 949–960. 82 indexed citations

12.

Wang, Hongyu, et al.. (2020). Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs. Journal of Healthcare Engineering. 2020. 1–12. 37 indexed citations

13.

Cui, Lei, et al.. (2020). A deep learning-based framework for lung cancer survival analysis with biomarker interpretation. BMC Bioinformatics. 21(1). 112–112. 31 indexed citations

14.

Qiu, Shi, et al.. (2020). A moving vehicle tracking algorithm based on deep learning. Journal of Ambient Intelligence and Humanized Computing. 7 indexed citations

15.

Li, Minghao, Lei Cui, Shaohan Huang, et al.. (2019). TableBank: Table Benchmark for Image-based Table Detection and Recognition. arXiv (Cornell University). 1918–1925. 33 indexed citations

16.

Cui, Lei, Jun Feng, Zizhao Zhang, & Lin Yang. (2019). High throughput automatic muscle image segmentation using parallel framework. BMC Bioinformatics. 20(1). 158–158. 4 indexed citations

17.

Cai, Jinzheng, Zizhao Zhang, Lei Cui, Yefeng Zheng, & Lin Yang. (2018). Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Analysis. 52. 174–184. 65 indexed citations

18.

Wang, Hongyu, Jun Feng, Zizhao Zhang, et al.. (2018). Breast mass classification via deeply integrating the contextual information from multi-view data. Pattern Recognition. 80. 42–52. 57 indexed citations

19.

Yang, Huan, Xiao Yu, Jia Hu, et al.. (2017). Usage of Multilevel Paravertebral Block as the Main Anesthesia for Mini-Invasive PCNL: Retrospective Review of 45 Cases with Large Stones. Urologia Internationalis. 99(3). 326–330. 5 indexed citations

20.

Cui, Lei, et al.. (2011). Optimization of elicitors and precursors to enhance valtrate production in adventitious roots of Valeriana amurensis Smir. ex Kom. Plant Cell Tissue and Organ Culture (PCTOC). 108(3). 411–420. 33 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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