Qiangsheng Dai

899 total citations
40 papers, 660 citations indexed

About

Qiangsheng Dai is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Qiangsheng Dai has authored 40 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 10 papers in Molecular Biology and 8 papers in Control and Systems Engineering. Recurrent topics in Qiangsheng Dai's work include Energy Load and Power Forecasting (6 papers), Smart Grid Security and Resilience (6 papers) and DNA Repair Mechanisms (4 papers). Qiangsheng Dai is often cited by papers focused on Energy Load and Power Forecasting (6 papers), Smart Grid Security and Resilience (6 papers) and DNA Repair Mechanisms (4 papers). Qiangsheng Dai collaborates with scholars based in China, United Kingdom and Montenegro. Qiangsheng Dai's co-authors include Libao Shi, Yixin Ni, Heping Li, Jianting Long, Ruifang Zeng, Shi Fang, Meihua Qu, Sheng Ye, Hui-Wen Weng and Cui Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Power Electronics.

In The Last Decade

Qiangsheng Dai

38 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiangsheng Dai China	13	244	150	141	103	98	40	660
Ghulam M. Chaudhry United States	13	162 0.7×	83 0.6×	40 0.3×	34 0.3×	133 1.4×	60	976
Pei Zhang China	19	153 0.6×	173 1.2×	24 0.2×	43 0.4×	217 2.2×	40	808
Jian Xue China	8	57 0.2×	121 0.8×	88 0.6×	60 0.6×	33 0.3×	15	380
Ruliang Wang China	12	150 0.6×	23 0.2×	77 0.5×	100 1.0×	34 0.3×	59	471
Xianglei He China	16	249 1.0×	144 1.0×	330 2.3×	95 0.9×	7 0.1×	51	965
Yanni Jiang China	17	102 0.4×	51 0.3×	54 0.4×	66 0.6×	157 1.6×	52	853
Yuji Ito Japan	9	203 0.8×	86 0.6×	94 0.7×	53 0.5×	47 0.5×	63	485
Zhihang Chen United States	19	511 2.1×	153 1.0×	32 0.2×	223 2.2×	103 1.1×	48	1.2k
Lingzhi Hu China	12	195 0.8×	13 0.1×	138 1.0×	104 1.0×	49 0.5×	29	628

Countries citing papers authored by Qiangsheng Dai

Since Specialization

Citations

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

Fields of papers citing papers by Qiangsheng Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiangsheng Dai

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

Song, Weiye, et al.. (2025). Power forecasting method of ultra-short-term wind power cluster based on the convergence cross mapping algorithm. Global Energy Interconnection. 8(1). 28–42. 1 indexed citations

Song, Weiye, et al.. (2024). A multi-task spatio-temporal fusion network for offshore wind power ramp events forecasting. Renewable Energy. 237. 121774–121774. 3 indexed citations

Dai, Qiangsheng, et al.. (2024). STGPT2UGAN: Spatio-Temporal GPT-2 United Generative Adversarial Network for Wind Speed Prediction in Turbine Network. Applied Sciences. 14(23). 11217–11217. 1 indexed citations

Zhang, Jinghui, et al.. (2023). Noise-aware Local Model Training Mechanism for Federated Learning. ACM Transactions on Intelligent Systems and Technology. 14(4). 1–22. 5 indexed citations

Zhang, Jinghui, Qiangsheng Dai, Zhihua Wu, et al.. (2023). PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters. Neurocomputing. 555. 126661–126661. 5 indexed citations

Dai, Qiangsheng, et al.. (2023). A Short-Term Hybrid Prediction Model for Offshore Wind Power Based on EEMD and LSTM. 1225–1229. 2 indexed citations

Liu, Si‐Yang Maggie, Qixun Chen, Chengzhi Zhou, et al.. (2023). Neoadjuvant Camrelizumab for Non-Small Cell Lung Cancer: A Retrospective Multicenter, Real-World Study (CTONG2004). Cancer Immunology Immunotherapy. 72(7). 2257–2265. 3 indexed citations

Zhang, Jinghui, et al.. (2023). Wi-Fi device identification based on multi-domain physical layer fingerprint. Computer Communications. 204. 118–129. 1 indexed citations

Dai, Qiangsheng, Libao Shi, & Yixin Ni. (2018). Risk Assessment for Cyber Attacks in Feeder Automation System. 1–5. 3 indexed citations

10.

Wang, Fang, Wenzhuo He, Chang Jiang, et al.. (2018). Prognostic value of inflammation-based scores in patients receiving radical resection for colorectal cancer. BMC Cancer. 18(1). 1102–1102. 30 indexed citations

11.

Long, Jianting, et al.. (2016). The Wilms Tumor-1 (WT1) rs16754 polymorphism is a prognostic factor in acute myeloid leukemia (AML): a meta-analysis. Oncotarget. 7(22). 32079–32087. 9 indexed citations

12.

Li, Guanghui, Qiangsheng Dai, Hongyan Zhou, et al.. (2015). CaCO3/CaIP6 composite nanoparticles effectively deliver AKT1 small interfering RNA to inhibit human breast cancer growth. International Journal of Nanomedicine. 10. 4255–4255. 17 indexed citations

13.

Dai, Qiangsheng, et al.. (2015). Osterix transcriptional factor is involved in the metastasis of human breast cancers. Oncology Letters. 10(3). 1870–1874. 11 indexed citations

14.

Chen, Cui, Peng Sun, Jian Rong, et al.. (2015). Short Course Radiation in the Treatment of Localized Rectal cancer: A Systematic Review and Meta-Analysis. Scientific Reports. 5(1). 10953–10953. 23 indexed citations

15.

Chen, Cui, Peng Sun, Qiangsheng Dai, et al.. (2014). The Glasgow Prognostic Score Predicts Poor Survival in Cisplatin-Based Treated Patients with Metastatic Nasopharyngeal Carcinoma. PLoS ONE. 9(11). e112581–e112581. 38 indexed citations

16.

Qu, Meihua, Ruifang Zeng, Shi Fang, et al.. (2014). Liposome-based co-delivery of siRNA and docetaxel for the synergistic treatment of lung cancer. International Journal of Pharmaceutics. 474(1-2). 112–122. 100 indexed citations

17.

Dai, Qiangsheng, Sheng Ye, Xiaojun Lin, et al.. (2014). Transarterial chemoembolization vs. conservative treatment for unresectable infiltrating hepatocellular carcinoma: A retrospective comparative study. Molecular and Clinical Oncology. 2(6). 1047–1054. 22 indexed citations

18.

Long, Jianting, Tuck−Yun Cheang, Shuyu Zhuo, et al.. (2014). Anticancer drug-loaded multifunctional nanoparticles to enhance the chemotherapeutic efficacy in lung cancer metastasis. Journal of Nanobiotechnology. 12(1). 37–37. 53 indexed citations

19.

Dai, Qiangsheng, et al.. (2013). Poly (AT) deletion/insertion polymorphism of the XPC gene contributes to urinary system cancer susceptibility: A meta-analysis. Gene. 528(2). 335–342. 15 indexed citations

20.

Dai, Qiangsheng, et al.. (2013). XPC gene polymorphisms contribute to bladder cancer susceptibility: a meta-analysis. Tumor Biology. 35(1). 447–453. 11 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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