Xiaolong Wu

1.1k total citations
39 papers, 710 citations indexed

About

Xiaolong Wu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Xiaolong Wu has authored 39 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Xiaolong Wu's work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and interferon and immune responses (4 papers). Xiaolong Wu is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (5 papers) and interferon and immune responses (4 papers). Xiaolong Wu collaborates with scholars based in China, United States and Australia. Xiaolong Wu's co-authors include Mingyue Zheng, Zunyun Fu, Hualiang Jiang, Xutong Li, Xiaohong Liu, Feisheng Zhong, Kaixian Chen, Xiaoqin Tan, Shahram Latifi and Xiaomin Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Carbon.

In The Last Decade

Xiaolong Wu

34 papers receiving 691 citations

Peers

Xiaolong Wu

CTM

IMMUN

ONCOL

Hongliang Duan China

Swati Tiwari India

Jianwen A. Feng United States

Jannis Born Switzerland

Qiong Yang China

Michael P. Menden Germany

Santosh Putta United States

Wenhao Gao China

Yan Niu China

Shuyu Zheng China

Hongliang Duan China

Xiaolong Wu

338 ×1.4

171 ×0.7

CTM

196 ×1.1

34 ×0.3

IMMUN

144 ×2.2

ONCOL

Citations per year, relative to Xiaolong Wu Xiaolong Wu (= 1×) peers Hongliang Duan

Countries citing papers authored by Xiaolong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Wu

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

Wei, Ziwen, et al.. (2024). Feasibility evaluation of radiotherapy positioning system guided by augmented reality and point cloud registration. Journal of Applied Clinical Medical Physics. 25(4). e14243–e14243. 2 indexed citations

Fan, Zisheng, Xiaolong Wu, Yinghui Zhang, et al.. (2024). Ginkgetin Alleviates Inflammation and Senescence by Targeting STING. Advanced Science. 12(2). e2407222–e2407222. 19 indexed citations

Zhang, Yingying, Zhaokun Wang, Zunyun Fu, et al.. (2024). Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics. Cell Genomics. 4(10). 100655–100655. 5 indexed citations

Ma, Yajing, et al.. (2023). Knowledge graph embedding via entity and relationship attributes. Multimedia Tools and Applications. 82(28). 44071–44086. 2 indexed citations

Wang, Yifang, Jinhu Li, Ailing Wu, et al.. (2023). Network Pharmacology-Based Approach to Investigate the Active Ingredients and Therapeutic Mechanisms of Jingu Tongxiao Pill against Osteoarthritis. ACS Omega. 8(34). 31529–31540. 1 indexed citations

Liu, Xiaohong, Wei Zhang, Xiaochu Tong, et al.. (2023). MolFilterGAN: a progressively augmented generative adversarial network for triaging AI-designed molecules. Journal of Cheminformatics. 15(1). 42–42. 14 indexed citations

Wan, Xiaozhe, Xiaolong Wu, Dingyan Wang, et al.. (2022). An inductive graph neural network model for compound–protein interaction prediction based on a homogeneous graph. Briefings in Bioinformatics. 23(3). 17 indexed citations

Zhang, Ying, Xiaolong Wu, Matthias Schmid, et al.. (2020). Integrative analysis of key candidate genes and signaling pathways in autoimmune thyroid dysfunction related to anti-CTLA-4 therapy by bioinformatics. Investigational New Drugs. 38(6). 1717–1729. 4 indexed citations

Li, Xutong, Xiaolong Wu, Xiaozhe Wan, et al.. (2020). The application of artificial intelligence to drug sensitivity prediction. Chinese Science Bulletin (Chinese Version). 65(32). 3551–3561. 1 indexed citations

10.

Hou, Hui, Ruirui Yang, Xiaohong Liu, et al.. (2020). Discovery of triazoloquinoxaline as novel STING agonists via structure-based virtual screening. Bioorganic Chemistry. 100. 103958–103958. 8 indexed citations

11.

Li, Fei, Xiaozhe Wan, Jing Xing, et al.. (2019). Deep Neural Network Classifier for Virtual Screening Inhibitors of (S)-Adenosyl-L-Methionine (SAM)-Dependent Methyltransferase Family. Frontiers in Chemistry. 7. 324–324. 6 indexed citations

12.

Wu, Xiaolong. (2019). Investigation of the robustness of star graph networks. Digital Scholarship - UNLV (University of Nevada Reno).

13.

Zhong, Feisheng, Jing Xing, Xutong Li, et al.. (2018). Artificial intelligence in drug design. Science China Life Sciences. 61(10). 1191–1204. 158 indexed citations

14.

Lv, Yi-pin, Liu‐sheng Peng, Qihong Wang, et al.. (2018). Degranulation of mast cells induced by gastric cancer-derived adrenomedullin prompts gastric cancer progression. Cell Death and Disease. 9(10). 1034–1034. 38 indexed citations

15.

Lv, Yi-pin, Yong‐sheng Teng, Fangyuan Mao, et al.. (2018). Helicobacter pylori-induced IL-33 modulates mast cell responses, benefits bacterial growth, and contributes to gastritis. Cell Death and Disease. 9(5). 457–457. 36 indexed citations

16.

Mao, Fangyuan, Hui Kong, Yongliang Zhao, et al.. (2017). Increased tumor-infiltrating CD45RA−CCR7− regulatory T-cell subset with immunosuppressive properties foster gastric cancer progress. Cell Death and Disease. 8(8). e3002–e3002. 40 indexed citations

17.

Wu, Xiaolong, et al.. (2015). Implementation of a Collaborative Document Processing in the Cloud. 83–88. 2 indexed citations

18.

Wu, Xiaolong, et al.. (2012). Online Analysis of Users' Behavior in Mobile Internet and ADSL Network. 207–211.

19.

Wu, Xiaolong, et al.. (2010). Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures. 1175–1180. 10 indexed citations

20.

Zheng, Jun, Shahram Latifi, Emma Regentova, Kai Luo, & Xiaolong Wu. (2004). Diagnosability of star graphs under the comparison diagnosis model. Information Processing Letters. 93(1). 29–36. 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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