Qingyu Zhou

4.2k total citations
91 papers, 2.6k citations indexed

About

Qingyu Zhou is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Qingyu Zhou has authored 91 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Artificial Intelligence and 19 papers in Oncology. Recurrent topics in Qingyu Zhou's work include Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Glioma Diagnosis and Treatment (9 papers). Qingyu Zhou is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Glioma Diagnosis and Treatment (9 papers). Qingyu Zhou collaborates with scholars based in United States, China and Singapore. Qingyu Zhou's co-authors include James M. Gallo, Balram Chowbay, Furu Wei, Ming Zhou, Nan Yang, Yin Bun Cheung, Ping Guo, Cumaraswamy Sivathasan, Shaohan Huang and Tiejun Zhao and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Applied Energy.

In The Last Decade

Qingyu Zhou

86 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyu Zhou United States 26 797 672 652 350 262 91 2.6k
Peter Shaw United States 27 1.3k 1.6× 176 0.3× 935 1.4× 202 0.6× 88 0.3× 117 3.3k
Seiichi Ishida Japan 24 2.5k 3.2× 205 0.3× 1.4k 2.1× 150 0.4× 141 0.5× 69 3.8k
Paolo Magni Italy 27 986 1.2× 200 0.3× 397 0.6× 172 0.5× 33 0.1× 136 2.4k
Hans C. Lee United States 37 1.8k 2.3× 100 0.1× 1.7k 2.6× 679 1.9× 106 0.4× 228 5.3k
David J. Kerr United Kingdom 21 748 0.9× 196 0.3× 790 1.2× 318 0.9× 58 0.2× 38 2.4k
Yuping Chen China 24 911 1.1× 162 0.2× 426 0.7× 225 0.6× 75 0.3× 117 2.3k
Francesmary Modugno United States 35 833 1.0× 258 0.4× 1.3k 2.0× 517 1.5× 80 0.3× 103 4.2k
Ying Zhou China 30 2.0k 2.5× 81 0.1× 357 0.5× 255 0.7× 62 0.2× 128 3.8k
Laurent Corcos France 37 2.0k 2.5× 93 0.1× 951 1.5× 390 1.1× 108 0.4× 105 4.8k

Countries citing papers authored by Qingyu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Qingyu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyu Zhou. A scholar is included among the top collaborators of Qingyu Zhou 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 Qingyu Zhou. Qingyu Zhou 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.
Wu, Ziyan, et al.. (2025). Causal Association Between Skin Microbiota and Malignant Melanoma: Genetic Insights From Mendelian Randomization. Clinical Cosmetic and Investigational Dermatology. Volume 18. 303–310.
2.
3.
Liu, Chenyu, et al.. (2023). Series-wise attention network for wind power forecasting considering temporal lag of numerical weather prediction. Applied Energy. 336. 120815–120815. 13 indexed citations
4.
Li, Yinghui, Shulin Huang, Qingyu Zhou, et al.. (2023). Automatic Context Pattern Generation for Entity Set Expansion. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12458–12469. 4 indexed citations
5.
Zhou, Qingyu, et al.. (2023). Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling. ACM Transactions on Information Systems. 42(1). 1–27. 2 indexed citations
6.
Li, Yinghui, Qingyu Zhou, Yangning Li, et al.. (2022). The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. Findings of the Association for Computational Linguistics: ACL 2022. 3202–3213. 23 indexed citations
7.
Li, Yinghui, Shirong Ma, Qingyu Zhou, et al.. (2022). Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking. 238–249. 13 indexed citations
8.
Zhou, Qingyu, Lihao Zhao, Xiaona Cai, et al.. (2019). <p>Clinical Value Of Apatinib As A Salvage Treatment In Patients With Chemo-Refractory Advanced Cervical Cancer</p>. OncoTargets and Therapy. Volume 12. 9707–9713. 6 indexed citations
9.
Kabir, Ashraf Ul, Tae‐Jin Lee, Hua Pan, et al.. (2018). Requisite endothelial reactivation and effective siRNA nanoparticle targeting of Etv2/Er71 in tumor angiogenesis. JCI Insight. 3(8). 18 indexed citations
10.
Zhou, Qingyu, Nan Yang, Furu Wei, et al.. (2018). Neural Document Summarization by Jointly Learning to Score and Select Sentences. 654–663. 206 indexed citations
11.
Wang, Zhan, Qingyu Zhou, Gary D. Kruh, & James M. Gallo. (2011). Dose-Dependent Disposition of Methotrexate in Abcc2 and Abcc3 Gene Knockout Murine Models. Drug Metabolism and Disposition. 39(11). 2155–2161. 13 indexed citations
12.
Zhou, Qingyu & James M. Gallo. (2011). The Pharmacokinetic/Pharmacodynamic Pipeline: Translating Anticancer Drug Pharmacology to the Clinic. The AAPS Journal. 13(1). 111–120. 41 indexed citations
13.
Wang, Shining, Qingyu Zhou, & James M. Gallo. (2009). Demonstration of the equivalent pharmacokinetic/pharmacodynamic dosing strategy in a multiple-dose study of gefitinib. Molecular Cancer Therapeutics. 8(6). 1438–1447. 28 indexed citations
14.
Chowbay, Balram, Brian C. Goh, Srinivasa Rao Jada, et al.. (2008). Influence of UGT1A9 intronic I399C4T polymorphism on SN-38 glucuronidation in Asian cancer patients. Faculty of Health; Institute of Health and Biomedical Innovation. 2 indexed citations
15.
Jada, Srinivasa Rao, Robert C. Lim, Xiaochen Shu, et al.. (2007). Role of UGT1A1*6, UGT1A1*28 and ABCG2 c.421C>A polymorphisms in irinotecan‐induced neutropenia in Asian cancer patients. Cancer Science. 98(9). 1461–1467. 96 indexed citations
16.
Sandanaraj, Edwin, Xiao Shu, Robert Lim, et al.. (2007). Influence of UGT1A9 intronic I399C>T polymorphism on SN-38 glucuronidation in Asian cancer patients. The Pharmacogenomics Journal. 8(3). 174–185. 28 indexed citations
17.
Zhou, Qingyu, Alex Sparreboom, Yin‐Bun Cheung, et al.. (2005). Pharmacogenetic profiling across the irinotecan pathway in Asian patients with cancer. British Journal of Clinical Pharmacology. 59(4). 415–424. 69 indexed citations
18.
19.
Zhou, Qingyu & Balram Chowbay. (2002). Effect of coenzyme Q10 on the disposition of doxorubicin in rats. European Journal of Drug Metabolism and Pharmacokinetics. 27(3). 185–192. 5 indexed citations
20.
Zhou, Qingyu & Balram Chowbay. (2002). Determination of doxorubicin and its metabolites in rat serum and bile by LC: application to preclinical pharmacokinetic studies. Journal of Pharmaceutical and Biomedical Analysis. 30(4). 1063–1074. 62 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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2026