Da Xu

474 total citations
31 papers, 280 citations indexed

About

Da Xu is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Da Xu has authored 31 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 9 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Da Xu's work include Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Machine Learning in Bioinformatics (5 papers). Da Xu is often cited by papers focused on Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Machine Learning in Bioinformatics (5 papers). Da Xu collaborates with scholars based in China, United States and Sweden. Da Xu's co-authors include Yusen Zhang, Lexin Li, Hua Zhou, Xiaoshan Li, Rui Gao, Hanxiao Xu, Jianguo Sun, Jialin Zhang, Matthias Dehmer and Shishun Zhao and has published in prestigious journals such as Molecules, Frontiers in Microbiology and Nutrients.

In The Last Decade

Da Xu

28 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Da Xu China	8	105	59	45	38	36	31	280
Abel Kho United States	8	51 0.5×	63 1.1×	149 3.3×	12 0.3×	6 0.2×	9	320
Suleiman A. Khan Finland	12	255 2.4×	6 0.1×	47 1.0×	14 0.4×	6 0.2×	24	386
Peng Zeng United States	11	69 0.7×	3 0.1×	65 1.4×	10 0.3×	36 1.0×	41	475
Artin Armagan United States	6	54 0.5×	10 0.2×	113 2.5×	18 0.5×	31 0.9×	9	322
Chinghway Lim Singapore	5	56 0.5×	2 0.0×	83 1.8×	6 0.2×	37 1.0×	6	269
Luis David García Puente United States	8	59 0.6×	35 0.6×	38 0.8×		24 0.7×	18	224
Ruoxuan Xiong United States	8	26 0.2×	5 0.1×	76 1.7×	7 0.2×	4 0.1×	25	293
Ling-Yun Dai China	9	185 1.8×	5 0.1×	40 0.9×	15 0.4×	9 0.3×	42	318
Arthur Tenenhaus France	5	187 1.8×	1 0.0×	48 1.1×	29 0.8×	6 0.2×	8	355

Countries citing papers authored by Da Xu

Since Specialization

Citations

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

Fields of papers citing papers by Da Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Xu

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

Xu, Hanxiao, Da Xu, & Yusen Zhang. (2025). Diversity and consistency graph learning guided multi-view unsupervised feature selection. Knowledge-Based Systems. 317. 113455–113455. 2 indexed citations

Shen, Lu, Ping Jiang, Liang Feng, et al.. (2025). Systemic inflammation modulates lipoprotein(a)-associated coronary stenosis in the chronic coronary syndromes. American Journal of Preventive Cardiology. 24. 101324–101324.

Wang, Jiayu, et al.. (2024). Sex-specific associations between body mass index trajectories and risk of hypertension. BMC Pediatrics. 24(1). 668–668. 1 indexed citations

Wu, Chuanyan, Da Xu, Rui Gao, et al.. (2024). GCNPMDA: Human microbe-disease association prediction by hierarchical graph convolutional network with layer attention. Biomedical Signal Processing and Control. 100. 107004–107004. 1 indexed citations

Zhang, Jialing, Jiayu Wang, Da Xu, et al.. (2024). Promoting Glutathione Synthesis: A Possibility for Treating Cardiomyopathy Induced by a Maternal Western Diet. Nutrients. 16(15). 2520–2520. 1 indexed citations

Huang, Jianling, Cheng Zeng, Da Xu, et al.. (2024). A machine-learning assisted measurement device for circadian lighting based on spectral sensors. Optics and Lasers in Engineering. 184. 108702–108702.

Huo, Yan, Wei Wang, Jing Zhang, et al.. (2023). Maternal androgen excess inhibits fetal cardiomyocytes proliferation through RB-mediated cell cycle arrest and induces cardiac hypertrophy in adulthood. Journal of Endocrinological Investigation. 47(3). 603–617. 1 indexed citations

Xu, Da, et al.. (2023). Regression Analysis of Misclassified Current Status Data with Informative Observation Times. Journal of Systems Science and Complexity. 36(3). 1250–1264. 1 indexed citations

Cao, Hengchun, Da Xu, Tiantian Zhang, et al.. (2022). Comprehensive and functional analyses reveal the genomic diversity and potential toxicity of Microcystis. Harmful Algae. 113. 102186–102186. 14 indexed citations

10.

Bao, Xuanwen, Kun Wang, Ming Liu, et al.. (2022). Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value. Frontiers in Cell and Developmental Biology. 9. 760618–760618. 31 indexed citations

11.

Xu, Da, Hanxiao Xu, Yusen Zhang, & Rui Gao. (2022). Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes. Frontiers in Microbiology. 13. 834982–834982. 7 indexed citations

12.

Xu, Da, et al.. (2022). Estimation of linear transformation cure models with informatively interval-censored failure time data. Journal of nonparametric statistics. 35(2). 283–301. 2 indexed citations

13.

Xu, Da, Hanxiao Xu, Yusen Zhang, et al.. (2021). MDAKRLS: Predicting human microbe-disease association based on Kronecker regularized least squares and similarities. Journal of Translational Medicine. 19(1). 66–66. 20 indexed citations

14.

Xu, Da, et al.. (2021). Semiparametric analysis of case K interval-censored failure time data in the presence of a cured subgroup and informative censoring. Journal of Statistical Computation and Simulation. 91(10). 2018–2033. 5 indexed citations

15.

Zhang, Jialin, Da Xu, Yusen Zhang, et al.. (2020). FS–GBDT: identification multicancer-risk module via a feature selection algorithm by integrating Fisher score and GBDT. Briefings in Bioinformatics. 22(3). 32 indexed citations

16.

Xu, Da, Jialin Zhang, Hanxiao Xu, et al.. (2020). Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data. BMC Genomics. 21(1). 650–650. 17 indexed citations

17.

Kong, Meng, Yusen Zhang, Da Xu, Wei Chen, & Matthias Dehmer. (2020). FCTP-WSRC: Protein–Protein Interactions Prediction via Weighted Sparse Representation Based Classification. Frontiers in Genetics. 11. 18–18. 14 indexed citations

18.

Li, Xiaoshan, Da Xu, Hua Zhou, & Lexin Li. (2018). Tucker Tensor Regression and Neuroimaging Analysis. Statistics in Biosciences. 10(3). 520–545. 75 indexed citations

19.

Xu, Da, et al.. (2013). Photoactive Poly(aryl ether)s containing azobenzene moieties on pendants for fabrication of thermal stable surface relief gratings. Chemical Research in Chinese Universities. 29(2). 384–388. 3 indexed citations

20.

Xu, Da & Yuanyuan Wang. (2006). An automated feature extraction and emboli detection system based on the PCA and fuzzy sets. Computers in Biology and Medicine. 37(6). 861–871. 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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