Xia Ning

3.6k total citations · 2 hit papers
101 papers, 1.7k citations indexed

About

Xia Ning is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Xia Ning has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 28 papers in Computational Theory and Mathematics and 26 papers in Artificial Intelligence. Recurrent topics in Xia Ning's work include Computational Drug Discovery Methods (28 papers), Recommender Systems and Techniques (18 papers) and Biomedical Text Mining and Ontologies (12 papers). Xia Ning is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Recommender Systems and Techniques (18 papers) and Biomedical Text Mining and Ontologies (12 papers). Xia Ning collaborates with scholars based in United States, China and Japan. Xia Ning's co-authors include George Karypis, Ziqi Chen, Srinivasan Parthasarathy, Huzefa Rangwala, Bo Peng, Zhiyun Ren, Martin Renqiang Min, Li Shen, Lang Li and Titus Schleyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Xia Ning

95 papers receiving 1.6k citations

Hit Papers

SLIM: Sparse Linear Methods for Top-N Recommender Systems 2011 2026 2016 2021 2011 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Ning United States 17 977 726 316 284 260 101 1.7k
Kira Radinsky Israel 21 350 0.4× 828 1.1× 112 0.4× 104 0.4× 112 0.4× 61 1.5k
Jianling Wang United States 17 463 0.5× 588 0.8× 108 0.3× 154 0.5× 145 0.6× 41 1.1k
Anton Schwaighofer Germany 18 229 0.2× 577 0.8× 246 0.8× 87 0.3× 136 0.5× 36 1.3k
Limin Yao China 14 807 0.8× 1.9k 2.6× 251 0.8× 245 0.9× 190 0.7× 26 2.5k
Jianying Hu United States 18 340 0.3× 695 1.0× 512 1.6× 110 0.4× 254 1.0× 47 1.5k
Takashi Washio Japan 20 385 0.4× 618 0.9× 238 0.8× 68 0.2× 246 0.9× 177 1.8k
Ricardo B. C. Prudêncio Brazil 19 262 0.3× 711 1.0× 113 0.4× 82 0.3× 257 1.0× 91 1.3k
Xiting Wang China 18 557 0.6× 654 0.9× 159 0.5× 67 0.2× 123 0.5× 56 1.2k
Yue Wang China 22 336 0.3× 1.1k 1.5× 186 0.6× 118 0.4× 596 2.3× 156 1.8k
Xiuzhen Zhang Australia 21 670 0.7× 699 1.0× 125 0.4× 63 0.2× 96 0.4× 104 1.4k

Countries citing papers authored by Xia Ning

Since Specialization
Citations

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

Fields of papers citing papers by Xia Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Ning. A scholar is included among the top collaborators of Xia Ning 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 Xia Ning. Xia Ning 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.
Dey, Vishal, Xiaohua Hu, & Xia Ning. (2025). Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization. PubMed. 2025. 20996–21023.
3.
Ning, Xia, Xuan Wang, Jinkai Li, et al.. (2024). Deciphering the antidepressant effects of Rosa damascena essential oil mediated through the serotonergic synapse signaling pathway. Journal of Ethnopharmacology. 328. 118007–118007. 10 indexed citations
4.
Wang, Jie, Xia Ning, Xuan Wang, et al.. (2024). Rosemary essential oil microemulsion prevents DSS-induced intestinal injury in mice by modulating IL-17 signaling pathway. Journal of Functional Foods. 116. 106180–106180. 5 indexed citations
5.
Chen, Ziqi, et al.. (2024). RLSynC: Offline–Online Reinforcement Learning for Synthon Completion. Journal of Chemical Information and Modeling. 64(17). 6723–6735. 1 indexed citations
6.
Lawrence, Patrick J., et al.. (2024). Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization. npj Precision Oncology. 8(1). 106–106. 2 indexed citations
8.
Dey, Vishal & Xia Ning. (2024). Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank. Journal of Chemical Information and Modeling. 64(10). 4071–4088. 2 indexed citations
9.
Chen, Ziqi, et al.. (2023). G2Retro as a two-step graph generative models for retrosynthesis prediction. Communications Chemistry. 6(1). 102–102. 21 indexed citations
10.
Wang, Jie, et al.. (2023). UPLC-Q-TOF-MS/MS Combined with Network Pharmacology, MolecularDocking, and Animal Verification Reveals the Mechanism of InsomniaTreatment by Shen Qi Wu Wei Zi Capsules. Combinatorial Chemistry & High Throughput Screening. 27(16). 2433–2445. 1 indexed citations
12.
Lu, Chong, Shien Liu, Jun Yu, et al.. (2022). Systemic evolutionary chemical space exploration for drug discovery. Journal of Cheminformatics. 14(1). 19–19. 16 indexed citations
13.
Chen, Ziqi, Martin Renqiang Min, Srinivasan Parthasarathy, & Xia Ning. (2021). A deep generative model for molecule optimization via one fragment modification. Nature Machine Intelligence. 3(12). 1040–1049. 55 indexed citations
14.
Guo, Yan, Xia Ning, Ewy A. Mathé, et al.. (2020). Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue. PMC.
15.
Peng, Bo, Zhiyun Ren, Srinivasan Parthasarathy, & Xia Ning. (2020). HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.. arXiv (Cornell University). 2 indexed citations
16.
Peng, Bo, Xiaohui Yao, Shannon L. Risacher, et al.. (2020). Cognitive biomarker prioritization in Alzheimer’s Disease using brain morphometric data. BMC Medical Informatics and Decision Making. 20(1). 319–319. 4 indexed citations
17.
Ren, Zhiyun, Xia Ning, Andrew Lan, & Huzefa Rangwala. (2019). Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.. Educational Data Mining. 13 indexed citations
18.
Du, Jie, Ting Xie, Xia Ning, et al.. (2018). Quantitative assessment of HR and NHEJ activities via CRISPR/Cas9-induced oligodeoxynucleotide-mediated DSB repair. DNA repair. 70. 67–71. 30 indexed citations
19.
Ren, Zhiyun, Xia Ning, & Huzefa Rangwala. (2017). Grade Prediction with Temporal Course-wise Influence.. Educational Data Mining. 1 indexed citations
20.
Ning, Xia. (2008). Some Thoughts about Security Issues of E-commerce Development. 1 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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