Chengqian Lu

1.3k total citations
19 papers, 885 citations indexed

About

Chengqian Lu is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Chengqian Lu has authored 19 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 14 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Chengqian Lu's work include Cancer-related molecular mechanisms research (15 papers), RNA and protein synthesis mechanisms (6 papers) and Circular RNAs in diseases (5 papers). Chengqian Lu is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), RNA and protein synthesis mechanisms (6 papers) and Circular RNAs in diseases (5 papers). Chengqian Lu collaborates with scholars based in China, United States and Canada. Chengqian Lu's co-authors include Min Li, Jianxin Wang, Fang‐Xiang Wu, Min Zeng, Yi Pan, Yaohang Li, Mengyun Yang, Fuhao Zhang, Feng Luo and Lu Tang and has published in prestigious journals such as Bioinformatics, Methods and Briefings in Bioinformatics.

In The Last Decade

Chengqian Lu

18 papers receiving 866 citations

Peers

Chengqian Lu
Yongxian Fan China
Xiang-Zhen Kong China
Abedalrhman Alkhateeb Canada
Quang‐Thai Ho Taiwan
Hasan Oğul Türkiye
Meiyu Duan China
Shixiong Zhang China
Edward Kien Yee Yapp Singapore
Thomas A. Geddes Australia
Su-Ping Deng China
Yongxian Fan China
Chengqian Lu
Citations per year, relative to Chengqian Lu Chengqian Lu (= 1×) peers Yongxian Fan

Countries citing papers authored by Chengqian Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chengqian Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengqian Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengqian Lu. A scholar is included among the top collaborators of Chengqian 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 Chengqian Lu. Chengqian Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Lu, Chengqian, et al.. (2025). RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model. Bioinformatics. 41(4). 2 indexed citations
2.
3.
Zeng, Min, Yiming Li, Chengqian Lu, et al.. (2024). CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization. IEEE Journal of Biomedical and Health Informatics. 29(2). 1494–1503. 1 indexed citations
4.
5.
6.
Zhang, Lishen, Chengqian Lu, Min Zeng, Yaohang Li, & Jianxin Wang. (2022). CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Briefings in Bioinformatics. 24(1). 12 indexed citations
7.
Lu, Chengqian, Lishen Zhang, Min Zeng, et al.. (2022). Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network. Briefings in Bioinformatics. 24(1). 5 indexed citations
8.
Zeng, Min, et al.. (2021). DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings in Bioinformatics. 23(1). 65 indexed citations
9.
Zeng, Min, Chengqian Lu, Fuhao Zhang, et al.. (2020). SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning. Methods. 179. 73–80. 75 indexed citations
10.
Lu, Chengqian, Mengyun Yang, Min Li, et al.. (2020). Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE Journal of Biomedical and Health Informatics. 24(8). 2420–2429. 43 indexed citations
11.
Lu, Chengqian, Min Zeng, Fuhao Zhang, et al.. (2020). Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE Journal of Biomedical and Health Informatics. 25(3). 891–899. 77 indexed citations
12.
Yang, Mengyun, Lan Huang, Yunpei Xu, Chengqian Lu, & Jianxin Wang. (2020). Heterogeneous graph inference with matrix completion for computational drug repositioning. Bioinformatics. 36(22-23). 5456–5464. 32 indexed citations
13.
Zeng, Min, Chengqian Lu, Zhihui Fei, et al.. (2020). DMFLDA: A Deep Learning Framework for Predicting lncRNA–Disease Associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(6). 2353–2363. 48 indexed citations
14.
Lu, Chengqian, Min Zeng, Fang‐Xiang Wu, Min Li, & Jianxin Wang. (2020). Improving circRNA–disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinformatics. 36(24). 5656–5664. 36 indexed citations
15.
16.
Liu, Jin, Yi Pan, Min Li, et al.. (2018). Applications of deep learning to MRI images: A survey. Big Data Mining and Analytics. 1(1). 1–18. 197 indexed citations
17.
Lu, Chengqian, Mengyun Yang, Feng Luo, et al.. (2018). Prediction of lncRNA–disease associations based on inductive matrix completion. Computer applications in the biosciences. 34(19). 3357–3364. 221 indexed citations
18.
Lan, Wei, Jianxin Wang, Min Li, et al.. (2016). Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. 19. 27–32. 2 indexed citations
19.
Liu, Zhaoping, Chengqian Lu, & Junshi Chen. (2004). [Correlation comparison of uterotrophic assay and E-SCREEN assay for estrogenic activities].. PubMed. 33(4). 458–60. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yongxian Fan Breakdown of academic impact, for papers by Xiang-Zhen Kong Breakdown of academic impact, for papers by Abedalrhman Alkhateeb Breakdown of academic impact, for papers by Quang‐Thai Ho Breakdown of academic impact, for papers by Hasan Oğul Breakdown of academic impact, for papers by Meiyu Duan Breakdown of academic impact, for papers by Shixiong Zhang Breakdown of academic impact, for papers by Edward Kien Yee Yapp Breakdown of academic impact, for papers by Thomas A. Geddes Breakdown of academic impact, for papers by Su-Ping Deng
Rankless by CCL
2026