Qiu Tang

1.9k total citations
96 papers, 1.4k citations indexed

About

Qiu Tang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Qiu Tang has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 34 papers in Control and Systems Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Qiu Tang's work include Power Quality and Harmonics (25 papers), Machine Fault Diagnosis Techniques (19 papers) and Energy Load and Power Forecasting (12 papers). Qiu Tang is often cited by papers focused on Power Quality and Harmonics (25 papers), Machine Fault Diagnosis Techniques (19 papers) and Energy Load and Power Forecasting (12 papers). Qiu Tang collaborates with scholars based in China, United States and Italy. Qiu Tang's co-authors include Zhaosheng Teng, Wei Qiu, Wenxuan Yao, Jianmin Li, Jianfeng Qu, Yi Chai, Jie Liu, Yicong Zhou, Jun Ma and Yilu Liu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Qiu Tang

85 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiu Tang China 19 857 666 185 166 105 96 1.4k
Zhaosheng Teng China 21 1.2k 1.3× 545 0.8× 109 0.6× 109 0.7× 132 1.3× 111 1.5k
Shibin Gao China 25 868 1.0× 660 1.0× 99 0.5× 498 3.0× 175 1.7× 113 1.8k
Giambattista Gruosso Italy 21 1.3k 1.5× 408 0.6× 122 0.7× 202 1.2× 37 0.4× 194 1.8k
Lorenzo Peretto Italy 22 1.5k 1.8× 648 1.0× 50 0.3× 236 1.4× 84 0.8× 222 1.9k
Mauro Tucci Italy 19 846 1.0× 194 0.3× 235 1.3× 225 1.4× 63 0.6× 111 1.3k
Marco Raugi Italy 24 1.1k 1.3× 409 0.6× 67 0.4× 248 1.5× 79 0.8× 171 1.7k
Johannes Köhler Germany 27 597 0.7× 2.3k 3.4× 115 0.6× 416 2.5× 37 0.4× 114 2.7k
Jiwen Zhao China 25 964 1.1× 964 1.4× 63 0.3× 596 3.6× 83 0.8× 108 1.7k
Xiaoguang Wei China 24 1.4k 1.7× 647 1.0× 113 0.6× 151 0.9× 141 1.3× 91 2.0k
Z.-L. Gaing Taiwan 8 2.2k 2.6× 1.6k 2.5× 491 2.7× 142 0.9× 58 0.6× 12 3.3k

Countries citing papers authored by Qiu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Qiu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiu Tang. A scholar is included among the top collaborators of Qiu Tang 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 Qiu Tang. Qiu Tang 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.
Teng, Zhaosheng, et al.. (2025). Time–Frequency Analysis of Power Quality Signals: A Novel Amplitude-Preserving Adaptive Synchrosqueezed S-Transform. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 74. 1–11.
2.
Teng, Zhaosheng, et al.. (2025). A Novel Dynamic Weighing Method for Checkweighers Based on IWOA-SWFTD-SSI. IEEE Sensors Journal. 25(13). 24784–24795.
3.
Ma, Jun, Li Ma, Sen Yan, et al.. (2024). A Novel Prediction Method for Smart Meter Error Using Multiview Convolutional Neural Network. IEEE Sensors Journal. 24(24). 42009–42017. 1 indexed citations
4.
Teng, Zhaosheng, et al.. (2024). Measurement error prediction-based reliability assessment framework for electric metering devices under harsh natural environments. Measurement. 232. 114481–114481. 2 indexed citations
5.
Mingotti, Alessandro, et al.. (2024). Extraction and Filtering of Electric Network Frequency Using Improved Matrix Pencil and Quadratic Box Plot-Empirical Wavelet Transform. IEEE Transactions on Industrial Informatics. 21(1). 60–69. 2 indexed citations
6.
Li, Jianmin, et al.. (2024). Deep Fractional Multidimensional Spectrum Convolutional Neural Fusion Network for Identifying Complex Power Quality Disturbance. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 2 indexed citations
7.
Chen, Yuanyuan, et al.. (2023). Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow. Physics in Medicine and Biology. 68(5). 55012–55012. 10 indexed citations
8.
Ma, Jun, Jie Liu, Wei Qiu, et al.. (2023). An Intelligent Classification Framework for Complex PQDs Using Optimized KS-Transform and Multiple Fusion CNN. IEEE Transactions on Industrial Informatics. 20(2). 1776–1785. 17 indexed citations
9.
Ma, Jun, et al.. (2023). Complex PQD Classification Using Time– Frequency Analysis and Multiscale Parallel Attention Residual Network. IEEE Transactions on Industrial Electronics. 71(8). 9658–9667. 13 indexed citations
10.
Teng, Zhaosheng, et al.. (2023). Weighing Error Compensation for Truck Scales Based on IGWO–LMBP Neural Network. IEEE Sensors Journal. 24(3). 3213–3222.
11.
Teng, Zhaosheng, et al.. (2023). Aiming to Complex Power Quality Disturbances: A Novel Decomposition and Detection Framework. IEEE Transactions on Industrial Informatics. 20(3). 4317–4326. 10 indexed citations
12.
Teng, Zhaosheng, et al.. (2022). Complex Disturbances Identification: A Novel PQDs Decomposition and Modeling Method. IEEE Transactions on Industrial Electronics. 70(6). 6356–6365. 20 indexed citations
13.
Qiu, Wei, Zhaosheng Teng, Qiu Tang, et al.. (2022). Cyber-Attack Identification of Synchrophasor Data Via VMD and Multifusion SVM. IEEE Transactions on Industry Applications. 58(2). 1456–1465. 10 indexed citations
14.
Ma, Jun, et al.. (2021). Measurement Error Prediction of Power Metering Equipment Using Improved Local Outlier Factor and Kernel Support Vector Regression. IEEE Transactions on Industrial Electronics. 69(9). 9575–9585. 34 indexed citations
15.
Qiu, Wei, Kaiqi Sun, Wenxuan Yao, et al.. (2021). Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks. IEEE Transactions on Industrial Informatics. 17(12). 8035–8045. 18 indexed citations
16.
Qiu, Wei, Qiu Tang, Yajun Wang, et al.. (2020). Multi-View Convolutional Neural Network for Data Spoofing Cyber-Attack Detection in Distribution Synchrophasors. IEEE Transactions on Smart Grid. 11(4). 3457–3468. 35 indexed citations
17.
Qiu, Wei, et al.. (2020). Detection of Synchrophasor False Data Injection Attack Using Feature Interactive Network. IEEE Transactions on Smart Grid. 12(1). 659–670. 26 indexed citations
18.
Qiu, Wei, et al.. (2020). Cyber Spoofing Detection for Grid Distributed Synchrophasor Using Dynamic Dual-Kernel SVM. IEEE Transactions on Smart Grid. 12(3). 2732–2735. 13 indexed citations
19.
Qiu, Wei, Qiu Tang, Jie Liu, & Wenxuan Yao. (2019). An Automatic Identification Framework for Complex Power Quality Disturbances Based on Multifusion Convolutional Neural Network. IEEE Transactions on Industrial Informatics. 16(5). 3233–3241. 103 indexed citations
20.
Yao, Wenxuan, Yong Liu, Dao Zhou, et al.. (2017). Impact of GPS signal loss and its mitigation in power system synchronized measurement devices. 1–1. 10 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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