Cong Lei

780 total citations
22 papers, 623 citations indexed

About

Cong Lei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Cong Lei has authored 22 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Cong Lei's work include Face and Expression Recognition (10 papers), Machine Learning and ELM (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Cong Lei is often cited by papers focused on Face and Expression Recognition (10 papers), Machine Learning and ELM (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Cong Lei collaborates with scholars based in China, United States and Australia. Cong Lei's co-authors include Rongyao Hu, Xiaofeng Zhu, Shichao Zhang, Wei He, Pengfei Zhu, Wei Zheng, Guoli Wang, Xiaofeng Zhu, Ronghua Zhang and Li Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Knowledge and Data Engineering and Frontiers in Pharmacology.

In The Last Decade

Cong Lei

21 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Lei China 12 285 214 124 71 62 22 623
Qingjun Wang China 16 124 0.4× 44 0.2× 194 1.6× 19 0.3× 14 0.2× 54 765
Liangcai Gao China 20 536 1.9× 359 1.7× 81 0.7× 77 1.1× 66 1.1× 96 1.1k
Xiaoke Hao China 16 151 0.5× 163 0.8× 221 1.8× 27 0.4× 11 0.2× 45 811
Hongyang Gao China 17 230 0.8× 316 1.5× 179 1.4× 40 0.6× 4 0.1× 41 857
Kashif Rajpoot United Kingdom 19 266 0.9× 222 1.0× 112 0.9× 49 0.7× 3 0.0× 44 977
Hanxiao Liu China 13 423 1.5× 419 2.0× 189 1.5× 17 0.2× 8 0.1× 37 1.0k
Sijia Chen China 14 197 0.7× 72 0.3× 84 0.7× 39 0.5× 22 0.4× 51 530
Stuart Andrews United States 13 871 3.1× 458 2.1× 225 1.8× 116 1.6× 14 0.2× 21 1.3k
Yifei Zhu China 20 180 0.6× 229 1.1× 66 0.5× 13 0.2× 4 0.1× 103 1.1k
Xiaoyu Du China 15 356 1.2× 412 1.9× 54 0.4× 37 0.5× 5 0.1× 51 954

Countries citing papers authored by Cong Lei

Since Specialization
Citations

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

Fields of papers citing papers by Cong Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Lei. A scholar is included among the top collaborators of Cong Lei 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 Cong Lei. Cong Lei 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.
Lei, Cong, Ruru Deng, Rong Liu, et al.. (2025). Advancing Multispectral Image-Derived Physics-Based Bathymetry: Multiobjective Evolutionary Computation for Shallow Water Depth Retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 23858–23878.
2.
3.
Wang, Guoli, Yunchuan Li, Cong Lei, et al.. (2020). Quercetin exerts antidepressant and cardioprotective effects in estrogen receptor α-deficient female mice via BDNF-AKT/ERK1/2 signaling. The Journal of Steroid Biochemistry and Molecular Biology. 206. 105795–105795. 44 indexed citations
4.
Wang, Guoli, Cong Lei, Ya Tian, et al.. (2019). Rb1, the Primary Active Ingredient in Panax ginseng C.A. Meyer, Exerts Antidepressant-Like Effects via the BDNF–Trkb–CREB Pathway. Frontiers in Pharmacology. 10. 1034–1034. 44 indexed citations
5.
Zhu, Xiaofeng, et al.. (2018). Robust Graph Dimensionality Reduction. 3257–3263. 11 indexed citations
6.
Zhang, Shichao, et al.. (2018). Unsupervised nonlinear feature selection algorithm via kernel function. Neural Computing and Applications. 32(11). 6443–6454. 14 indexed citations
7.
Gan, Jiangzhang, et al.. (2018). Supervised feature selection by self-paced learning regression. Pattern Recognition Letters. 132. 30–37. 30 indexed citations
8.
Zhu, Xiaofeng, Shichao Zhang, Wei He, et al.. (2018). One-Step Multi-View Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering. 31(10). 2022–2034. 214 indexed citations
9.
Li, Yangding, et al.. (2017). Hypergraph expressing low-rank feature selection algorithm. Multimedia Tools and Applications. 77(22). 29551–29572. 1 indexed citations
10.
Zhang, Shichao, et al.. (2017). Unsupervised Feature Selection via Local Structure Learning and Self-Representation. 41. 297–302. 4 indexed citations
11.
Zheng, Wei, Xiaofeng Zhu, Yonghua Zhu, Rongyao Hu, & Cong Lei. (2017). Dynamic graph learning for spectral feature selection. Multimedia Tools and Applications. 77(22). 29739–29755. 77 indexed citations
12.
Li, Yangding, et al.. (2017). Unsupervised feature selection by combining subspace learning with feature self-representation. Pattern Recognition Letters. 109. 35–43. 18 indexed citations
13.
Zhang, Shichao, et al.. (2017). Unsupervised Spectral Feature Selection with Local Structure Learning. 303–308. 1 indexed citations
14.
Vosburgh, Evan, et al.. (2012). Human Neuroendocrine Tumor Cell Lines as a Three-Dimensional Model for the Study of Human Neuroendocrine Tumor Therapy. Journal of Visualized Experiments. e4218–e4218. 30 indexed citations
15.
Vosburgh, Evan, et al.. (2012). Human Neuroendocrine Tumor Cell Lines as a Three-Dimensional Model for the Study of Human Neuroendocrine Tumor Therapy. Journal of Visualized Experiments. 3 indexed citations
16.
Lei, Cong, et al.. (2009). Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1. BMC Proceedings. 3(S7). S132–S132. 11 indexed citations
17.
Huang, Chien‐Hsun, et al.. (2009). Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes. BMC Proceedings. 3(S7). S75–S75. 16 indexed citations
18.
Lo, Shaw‐Hwa, et al.. (2008). Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer. Proceedings of the National Academy of Sciences. 105(34). 12387–12392. 21 indexed citations
19.
Lei, Cong, et al.. (2007). Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm. BMC Proceedings. 1(S1). S13–S13. 12 indexed citations
20.
Zheng, Tian, et al.. (2007). Joint study of genetic regulators for expression traits related to breast cancer. BMC Proceedings. 1(S1). S10–S10. 2 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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