Qingyu Yang

3.7k total citations · 2 hit papers
150 papers, 2.8k citations indexed

About

Qingyu Yang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Qingyu Yang has authored 150 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Control and Systems Engineering, 49 papers in Electrical and Electronic Engineering and 27 papers in Artificial Intelligence. Recurrent topics in Qingyu Yang's work include Smart Grid Energy Management (27 papers), Blockchain Technology Applications and Security (24 papers) and Smart Grid Security and Resilience (24 papers). Qingyu Yang is often cited by papers focused on Smart Grid Energy Management (27 papers), Blockchain Technology Applications and Security (24 papers) and Smart Grid Security and Resilience (24 papers). Qingyu Yang collaborates with scholars based in China, United States and Macao. Qingyu Yang's co-authors include Dou An, Wei Yu, Wei Zhao, Xinyu Yang, Xinwen Fu, Donghe Li, Feiye Zhang, Jie Yang, Nan Zhang and Yang Zhang and has published in prestigious journals such as Environmental Science & Technology, Food Chemistry and Applied Energy.

In The Last Decade

Qingyu Yang

139 papers receiving 2.7k citations

Hit Papers

On False Data-Injection Attacks against Power System Stat... 2013 2026 2017 2021 2013 2018 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. On False Data-Injection Attacks against Power System State Estimation: Modeling and Countermeasures
    2013 317 citations Qingyu Yang, Dou An et al. profile →
  2. A Survey on Big Data Market: Pricing, Trading and Protection
    2018 235 citations Dou An, Qingyu Yang et al. profile →

Peers

Qingyu Yang
Jing Zhang China
Yi Mei New Zealand
Chaochao Chen China
Yanming Shen China
Jinglin Li China
Seung Ho Hong South Korea
Xiaofeng Liao China
João Martins Portugal
Yu Cheng United States
Ratnesh Sharma United States
Jing Zhang China
Qingyu Yang
Citations per year, relative to Qingyu Yang Qingyu Yang (= 1×) peers Jing Zhang

Countries citing papers authored by Qingyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qingyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyu Yang. A scholar is included among the top collaborators of Qingyu Yang 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 Yang. Qingyu Yang 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.
Sun, Li, et al.. (2025). Human-in-the-Loop Battery Scheduling in Buildings via Intent-Guided Rule-Reinforcement Learning. IEEE Internet of Things Journal. 12(24). 53730–53748.
2.
Xi, Huan, et al.. (2025). Zero-shot load forecasting for integrated energy systems: A large language model-based framework with multi-task learning. Neurocomputing. 654. 131288–131288. 2 indexed citations
3.
4.
Zhang, Yating, et al.. (2025). An insight into specific flavor sensation in fermented milk: Linalool and mushroom alcohol. Journal of Dairy Science. 108(6). 5741–5753. 2 indexed citations
5.
Yao, Di, Ge Gao, Qingyu Yang, Feng Fan, & Jiachuan Yan. (2024). Mechanical behaviors and internal pressure bearing capacity of nuclear containment using UHPC and ECC: From numerical simulation, machine learning prediction to fragility analysis. Nuclear Engineering and Design. 429. 113617–113617. 3 indexed citations
6.
Liu, Xiaoyan, Shuangjun Li, Zhouhong Ren, et al.. (2024). Hydrogen Peroxide Heterolytic Cleavage Induced Gas Phase Photo-Fenton Oxidation of Nitric Oxide. Environmental Science & Technology. 58(40). 17797–17806. 22 indexed citations
7.
He, Yuting, Qingyu Yang, Yajun Ha, et al.. (2024). FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems. IEEE Transactions on Computers. 74(1). 71–85. 4 indexed citations
8.
9.
Li, Jiayi, et al.. (2023). Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China. Agronomy. 13(10). 2498–2498. 5 indexed citations
10.
Shang, Huan, Wenbin Zhang, Shuangjun Li, et al.. (2023). Surface Hydrogen Bond-Induced Oxygen Vacancies of TiO2 for Two-Electron Molecular Oxygen Activation and Efficient NO Oxidation. Environmental Science & Technology. 57(48). 20400–20409. 28 indexed citations
11.
Li, Donghe, et al.. (2023). A Blockchain-Based Semi-Centralized Business System for Multi-Enterprise. 8859–8864. 1 indexed citations
12.
Zhang, Feiye, Qingyu Yang, & Donghe Li. (2023). A deep reinforcement learning-based bidding strategy for participants in a peer-to-peer energy trading scenario. Frontiers in Energy Research. 10. 4 indexed citations
13.
Yang, Qingyu, Shuangjun Li, Rui Liang, et al.. (2023). Microwave assisted synthesis of PQ-GDY@NH2-UIO-66(Zr) for improved photocatalytic removal of NO under visible light. Journal of Environmental Sciences. 134. 126–137. 10 indexed citations
14.
Zhang, Yang, Qingyu Yang, Dou An, Donghe Li, & Zongze Wu. (2022). Multistep Multiagent Reinforcement Learning for Optimal Energy Schedule Strategy of Charging Stations in Smart Grid. IEEE Transactions on Cybernetics. 53(7). 4292–4305. 64 indexed citations
15.
Yang, Qingyu, et al.. (2022). Semantic Segmentation of Panoramic Images for Real-Time Parking Slot Detection. Remote Sensing. 14(16). 3874–3874. 11 indexed citations
16.
Zhang, Feiye, Qingyu Yang, & Dou An. (2022). A leader-following paradigm based deep reinforcement learning method for multi-agent cooperation games. Neural Networks. 156. 1–12. 10 indexed citations
17.
18.
Zhang, You‐Ming, Qingyu Yang, Xiaoqiang Ma, et al.. (2020). N-(2-Aminoethyl)-2-(hexylthio) Acetamide-Functionalized Pillar[5]arene for the Selective Detection of l-Trp through Guest-Adaptive Multisupramolecular Interactions. The Journal of Physical Chemistry A. 124(47). 9811–9817. 21 indexed citations
19.
Zhao, Zhengen, et al.. (2018). Adaptive fault-tolerant PI tracking control for ship propulsion system. ISA Transactions. 80. 279–285. 15 indexed citations
20.
Yang, Qingyu. (2012). Synchronous Control System Modeling of Gantry-Type Machine Tools. Xi'an Jiaotong Daxue xuebao. 4 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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