Qing Xie

966 total citations
39 papers, 643 citations indexed

About

Qing Xie is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Qing Xie has authored 39 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Statistics, Probability and Uncertainty and 7 papers in Artificial Intelligence. Recurrent topics in Qing Xie's work include scientometrics and bibliometrics research (8 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Qing Xie is often cited by papers focused on scientometrics and bibliometrics research (8 papers), Topic Modeling (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Qing Xie collaborates with scholars based in China, South Korea and United States. Qing Xie's co-authors include Pankaj Agarwal, Mark R. Hurle, Deepak K. Rajpal, Philippe Sanséau, Lei Yang, Min Song, Xinyuan Zhang, Xinyuan Zhang, Ying Ding and Robert S. Ames and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Qing Xie

35 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Xie China 11 344 217 73 45 41 39 643
Lixia Yao United States 20 405 1.2× 132 0.6× 189 2.6× 36 0.8× 9 0.2× 95 1.2k
Chi Heem Wong United States 9 323 0.9× 150 0.7× 58 0.8× 52 1.2× 26 0.6× 21 1.2k
Raul Rodriguez‐Esteban United States 13 315 0.9× 107 0.5× 127 1.7× 34 0.8× 9 0.2× 39 631
Vijayalakshmi Chelliah United Kingdom 17 1.2k 3.4× 227 1.0× 36 0.5× 102 2.3× 7 0.2× 22 1.5k
Kyubum Lee United States 16 612 1.8× 122 0.6× 257 3.5× 120 2.7× 13 0.3× 32 1.1k
Daniel Himmelstein United States 14 989 2.9× 281 1.3× 165 2.3× 286 6.4× 81 2.0× 49 1.5k
Quentin Vanhaelen United States 11 649 1.9× 521 2.4× 76 1.0× 62 1.4× 5 0.1× 20 1.2k
Ricardo Arcila United Kingdom 4 308 0.9× 293 1.4× 40 0.5× 17 0.4× 4 0.1× 4 652
Christine Chichester Switzerland 17 594 1.7× 184 0.8× 246 3.4× 46 1.0× 6 0.1× 31 958
Yael Garten United States 12 472 1.4× 178 0.8× 182 2.5× 71 1.6× 5 0.1× 14 606

Countries citing papers authored by Qing Xie

Since Specialization
Citations

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

Fields of papers citing papers by Qing Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Xie. A scholar is included among the top collaborators of Qing Xie 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 Qing Xie. Qing Xie 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.
Xie, Qing, Meng Wang, & Shili Lin. (2025). scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data. BMC Bioinformatics. 26(1). 132–132.
2.
Xie, Qing, et al.. (2024). Intra-Articular Delivery of an AAV-Anti-TNF-α Vector Alleviates the Progress of Arthritis in a RA Mouse Model. Human Gene Therapy. 35(17-18). 754–766. 2 indexed citations
3.
Zhang, Minjie, Yunhui Yu, Dong Li, et al.. (2024). SDH, a novel diarylheptane compound, alleviates dextran sulfate sodium (DSS)-induced colitis by reducing Th1/Th2/Th17 induction and regulating the gut microbiota in mice. International Immunopharmacology. 134. 112234–112234. 2 indexed citations
4.
Heo, Go Eun, Young Soo Ko, Qing Xie, & Min Song. (2023). High acknowledgement index: Characterizing research supporters with factors of acknowledgement affecting paper citation counts. Journal of Informetrics. 17(4). 101447–101447.
5.
Xie, Qing, et al.. (2023). Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis. SHILAP Revista de lepidopterología. 8. 1243407–1243407. 3 indexed citations
6.
Xie, Qing, et al.. (2023). Exploring the correlation between acknowledgees’ contributions and their academic performance. Scientometrics. 128(11). 6003–6027. 1 indexed citations
7.
Yang, Fei, Xiaoqiang Zhu, Liu Li, et al.. (2022). SDH, a novel diarylheptane compound, is a potential treatment for inflammatory bowel disease by restoring epithelial barrier function. Biomedicine & Pharmacotherapy. 151. 113080–113080. 4 indexed citations
8.
Xie, Qing, et al.. (2022). HiCImpute: A Bayesian hierarchical model for identifying structural zeros and enhancing single cell Hi-C data. PLoS Computational Biology. 18(6). e1010129–e1010129. 7 indexed citations
9.
Xie, Qing, et al.. (2020). Literature based discovery of alternative TCM medicine for adverse reactions to depression drugs. BMC Bioinformatics. 21(S5). 405–405. 8 indexed citations
10.
11.
Xie, Qing, Xin Zeng, Wensheng Xie, et al.. (2019). Preclinical evaluation of EPHX2 inhibition as a novel treatment for inflammatory bowel disease. PLoS ONE. 14(4). e0215033–e0215033. 25 indexed citations
12.
Heo, Go Eun, Qing Xie, Min Song, & Jeong‐Hoon Lee. (2019). Combining entity co-occurrence with specialized word embeddings to measure entity relation in Alzheimer’s disease. BMC Medical Informatics and Decision Making. 19(S5). 240–240. 6 indexed citations
13.
Jeong, Yoo Kyung, Qing Xie, Erjia Yan, & Min Song. (2019). Examining drug and side effect relation using author–entity pair bipartite networks. Journal of Informetrics. 14(1). 100999–100999. 6 indexed citations
15.
Xie, Qing, et al.. (2017). Transformer’s Condition Assessment Method Based on Combination of Cloud Matter Element and Principal Component Analysis. Energy and Power Engineering. 9(4). 659–666. 1 indexed citations
16.
Xie, Qing, Qi Liu, Fengbiao Mao, et al.. (2014). A Bayesian Framework to Identify Methylcytosines from High-Throughput Bisulfite Sequencing Data. PLoS Computational Biology. 10(9). e1003853–e1003853. 3 indexed citations
17.
Liu, Yan, Xin Zeng, Hong Lin, et al.. (2013). A novel approach applying a chemical biology strategy in phenotypic screening reveals pathway-selective regulators of histone 3 K27 tri-methylation. Molecular BioSystems. 10(2). 251–257. 9 indexed citations
18.
Hurle, Mark R., Lei Yang, Qing Xie, et al.. (2013). Computational Drug Repositioning: From Data to Therapeutics. Clinical Pharmacology & Therapeutics. 93(4). 335–341. 280 indexed citations
19.
Zeng, Jing, et al.. (2011). [Regional effect research of blood lead concentrations and isotopic fingerprints in four cities by ICP-MS].. PubMed. 31(11). 3101–4. 1 indexed citations
20.
Xie, Qing. (2004). Developing an urban transportation system centered with public transportation——Thinking about the transportation situation of CBD in Guangzhou. Journal of Guangzhou University. 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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