Ning Chen

3.2k total citations
37 papers, 974 citations indexed

About

Ning Chen is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ning Chen has authored 37 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ning Chen's work include Gut microbiota and health (11 papers), Adversarial Robustness in Machine Learning (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Ning Chen is often cited by papers focused on Gut microbiota and health (11 papers), Adversarial Robustness in Machine Learning (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Ning Chen collaborates with scholars based in China, United States and Japan. Ning Chen's co-authors include Jun Zhu, Ting Chen, Eric P. Xing, Haibo Wang, Ying Shi, Xiaochun Cao, Xingxing Wei, Siyuan Liang, Yifang Zhu and Zongjiu Zhang and has published in prestigious journals such as Nature Communications, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Ning Chen

34 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Chen China	14	294	278	187	166	76	37	974
Feifei Ma China	18	127 0.4×	158 0.6×	166 0.9×	178 1.1×	14 0.2×	88	1.3k
Hong Tao China	17	424 1.4×	85 0.3×	99 0.5×	574 3.5×	41 0.5×	64	1.2k
Zhiyong China	12	53 0.2×	127 0.5×	51 0.3×	37 0.2×	17 0.2×	190	842
Xin Gao Canada	16	219 0.7×	156 0.6×	74 0.4×	17 0.1×	17 0.2×	94	1.1k
Arnab Maity United States	19	133 0.5×	248 0.9×	271 1.4×	14 0.1×	13 0.2×	70	1.2k
Volker Linnemann Germany	15	154 0.5×	67 0.2×	144 0.8×	35 0.2×	94 1.2×	78	983
Karlien Vanden Branden Belgium	9	178 0.6×	144 0.5×	14 0.1×	90 0.5×	65 0.9×	17	1.2k
Yongjie Xu China	24	86 0.3×	558 2.0×	112 0.6×	72 0.4×	6 0.1×	98	1.5k
Hyonho Chun United States	13	73 0.2×	462 1.7×	41 0.2×	49 0.3×	23 0.3×	24	1.1k

Countries citing papers authored by Ning Chen

Since Specialization

Citations

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

Fields of papers citing papers by Ning Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Chen

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

All Works

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20 of 20 papers shown

Li, Panpan, et al.. (2025). Multi-dimensional ship motion attitude combination prediction based on the SSA-BiGRU-Attention model. Measurement. 253. 117484–117484. 1 indexed citations

Xu, Jun, et al.. (2025). Gut Microbiota in Different Treatment Response Types of Crohn’s Disease Patients Treated with Biologics over a Long Disease Course. Biomedicines. 13(3). 708–708.

Chen, Ning, et al.. (2024). Auditory Spatial Attention Detection Based on Feature Disentanglement and Brain Connectivity-Informed Graph Neural Networks. 887–891.

Su, Chien‐Wen, Chih‐Yu Chen, Tangyou Mao, et al.. (2023). Maternal helminth infection protects offspring from high-fat-diet-induced obesity through altered microbiota and SCFAs. Cellular and Molecular Immunology. 20(4). 389–403. 13 indexed citations

Xu, Jun, Yu Zhang, Yun Liu, et al.. (2023). The oral bacterial microbiota facilitates the stratification for ulcerative colitis patients with oral ulcers. Annals of Clinical Microbiology and Antimicrobials. 22(1). 99–99. 6 indexed citations

Zhang, Nan, et al.. (2022). Integrated Analysis of the Alterations in Gut Microbiota and Metabolites of Mice Induced After Long-Term Intervention With Different Antibiotics. Frontiers in Microbiology. 13. 832915–832915. 12 indexed citations

Yang, Yuqing, et al.. (2021). kLDM: Inferring Multiple Metagenomic Association Networks Based on the Variation of Environmental Factors. Genomics Proteomics & Bioinformatics. 19(5). 834–847. 2 indexed citations

Zhu, Congmin, Junyi Zhang, Xin Wang, et al.. (2021). Responses of cyanobacterial aggregate microbial communities to algal blooms. Water Research. 196. 117014–117014. 49 indexed citations

Xu, Jun, Jieni Zhang, Qing Liu, et al.. (2021). The role of genotype and diet in shaping gut microbiome in a genetic vitamin A deficient mouse model. Journal of genetics and genomics. 49(2). 155–164. 7 indexed citations

10.

Shi, Ying, et al.. (2020). Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities. The Science of The Total Environment. 715. 136896–136896. 58 indexed citations

11.

Shi, Ying, Yifang Zhu, Ning Chen, et al.. (2020). Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study. PLoS Medicine. 17(8). e1003188–e1003188. 137 indexed citations

12.

Zhu, Congmin, Junyi Zhang, Rui Guan, et al.. (2019). Alternate succession of aggregate-forming cyanobacterial genera correlated with their attached bacteria by co-pathways. The Science of The Total Environment. 688. 867–879. 38 indexed citations

13.

Zhu, Jun, Ning Chen, & Eric P. Xing. (2018). Infinite Latent SVM for Classification and Multi-task Learning. Figshare. 24. 1620–1628. 15 indexed citations

14.

Chen, Ning, Jun Zhu, & Eric P. Xing. (2018). Predictive Subspace Learning for Multi-view Data: a Large Margin Approach. Figshare. 23. 361–369. 35 indexed citations

15.

Liu, Chang, et al.. (2018). Message Passing Stein Variational Gradient Descent.. International Conference on Machine Learning. 6018–6027. 6 indexed citations

16.

Xu, Jun, Ning Chen, Zhe Wu, et al.. (2018). 5-Aminosalicylic Acid Alters the Gut Bacterial Microbiota in Patients With Ulcerative Colitis. Frontiers in Microbiology. 9. 1274–1274. 137 indexed citations

17.

Xie, Ken, Hao Wang, Ning Chen, et al.. (2017). Reconstructing cell cycle pseudo time-series via single-cell transcriptome data. Nature Communications. 8(1). 22–22. 88 indexed citations

18.

Yang, Yuqing, Ning Chen, & Ting Chen. (2017). Inference of Environmental Factor-Microbe and Microbe-Microbe Associations from Metagenomic Data Using a Hierarchical Bayesian Statistical Model. Cell Systems. 4(1). 129–137.e5. 23 indexed citations

19.

Yang, Yuqing, Ning Chen, & Ting Chen. (2016). mLDM: A New Hierarchical Bayesian Statistical Model for Sparse Microbial Association Discovery.. 253–254. 2 indexed citations

20.

Zhu, Jun, Ning Chen, & Eric P. Xing. (2014). Bayesian inference with posterior regularization and applications to infinite latent SVMs. Journal of Machine Learning Research. 15(1). 1799–1847. 69 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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