Zongxi Qu

848 total citations · 1 hit paper
19 papers, 709 citations indexed

About

Zongxi Qu is a scholar working on Electrical and Electronic Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Zongxi Qu has authored 19 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Health, Toxicology and Mutagenesis and 6 papers in Environmental Engineering. Recurrent topics in Zongxi Qu's work include Energy Load and Power Forecasting (10 papers), Air Quality and Health Impacts (6 papers) and Air Quality Monitoring and Forecasting (6 papers). Zongxi Qu is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Air Quality and Health Impacts (6 papers) and Air Quality Monitoring and Forecasting (6 papers). Zongxi Qu collaborates with scholars based in China and Australia. Zongxi Qu's co-authors include Kequan Zhang, Wenyu Zhang, Wenqian Mao, Xu Fan, Zhipeng Li, Cheng Liu, Jian Wang, Jianzhou Wang, Yunxuan Dong and Huan Li and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Zongxi Qu

16 papers receiving 692 citations

Hit Papers

A combined model based on CEEMDAN and modified flower pol... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
    2017 320 citations Wenyu Zhang, Zongxi Qu et al. Energy Conversion and Management profile →

Peers

Zongxi Qu
Wenqian Mao China
Zhendong Zhang China
Jiani Heng China
Guangxi Yan China
Sinvaldo Rodrigues Moreno Brazil
Kishore Kulat India
Niya Chen China
Chunlei Ji China
Yan-fei Li China
Wenqian Mao China
Zongxi Qu
Citations per year, relative to Zongxi Qu Zongxi Qu (= 1×) peers Wenqian Mao

Countries citing papers authored by Zongxi Qu

Since Specialization
Citations

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

Fields of papers citing papers by Zongxi Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongxi Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Zongxi Qu. A scholar is included among the top collaborators of Zongxi Qu 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 Zongxi Qu. Zongxi Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Qu, Zongxi, et al.. (2025). Impact of dual climatic and socioeconomic factors on global trends in infectious disease outbreaks. Scientific Reports. 15(1). 16092–16092. 1 indexed citations
2.
Qu, Zongxi, et al.. (2024). Fast Path Planning for Polar Surface Unmanned Vessels Based on GI-ACO-A* Algorithm. 791–800. 1 indexed citations
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Xu, Qian, et al.. (2023). Earthquake and Tourism Destination Resilience from the Perspective of Regional Economic Resilience. Sustainability. 15(10). 7766–7766. 3 indexed citations
6.
Qu, Zongxi, Beidou Zhang, & Hongpeng Wang. (2023). A Multivariate Deep Learning Model with Coupled Human Intervention Factors for COVID-19 Forecasting. Systems. 11(4). 201–201. 1 indexed citations
7.
Qu, Zongxi, Yutong Li, Xia Jiang, & Chunhua Niu. (2022). An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting. Expert Systems with Applications. 212. 118746–118746. 20 indexed citations
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Guo, Hengliang, et al.. (2021). Research on a Novel Hybrid Decomposition–Ensemble Learning Paradigm Based on VMD and IWOA for PM2.5 Forecasting. International Journal of Environmental Research and Public Health. 18(3). 1024–1024. 15 indexed citations
12.
Li, Huan, et al.. (2020). A Novel Air Quality Evaluation Paradigm Based on the Fuzzy Comprehensive Theory. Applied Sciences. 10(23). 8619–8619. 6 indexed citations
13.
Zhang, Lei, et al.. (2019). A Novel Air Quality Early-Warning System Based on Artificial Intelligence. International Journal of Environmental Research and Public Health. 16(19). 3505–3505. 27 indexed citations
14.
Qu, Zongxi, Wenqian Mao, Kequan Zhang, Wenyu Zhang, & Zhipeng Li. (2018). Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network. Renewable Energy. 133. 919–929. 153 indexed citations
15.
Zhang, Kequan, Zongxi Qu, Yunxuan Dong, et al.. (2018). Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting. Renewable Energy. 130. 814–830. 52 indexed citations
16.
Qu, Zongxi, Kequan Zhang, Wenqian Mao, et al.. (2017). Research and application of ensemble forecasting based on a novel multi-objective optimization algorithm for wind-speed forecasting. Energy Conversion and Management. 154. 440–454. 63 indexed citations
17.
Zhang, Kequan, et al.. (2017). A novel hybrid approach based on cuckoo search optimization algorithm for short‐term wind speed forecasting. Environmental Progress & Sustainable Energy. 36(3). 943–952. 21 indexed citations
18.
Zhang, Wenyu, et al.. (2017). A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting. Energy Conversion and Management. 136. 439–451. 320 indexed citations breakdown →
19.
Qu, Zongxi, et al.. (2016). A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting. Advances in Meteorology. 2016. 1–14. 14 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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