Jing Qiu

12.7k total citations · 1 hit paper
378 papers, 9.3k citations indexed

About

Jing Qiu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Jing Qiu has authored 378 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 266 papers in Electrical and Electronic Engineering, 132 papers in Control and Systems Engineering and 45 papers in Automotive Engineering. Recurrent topics in Jing Qiu's work include Smart Grid Energy Management (113 papers), Electric Vehicles and Infrastructure (71 papers) and Electric Power System Optimization (68 papers). Jing Qiu is often cited by papers focused on Smart Grid Energy Management (113 papers), Electric Vehicles and Infrastructure (71 papers) and Electric Power System Optimization (68 papers). Jing Qiu collaborates with scholars based in China, Australia and Hong Kong. Jing Qiu's co-authors include Zhao Yang Dong, Junhua Zhao, Yuechuan Tao, Xianzhuo Sun, Ke Meng, Shuying Lai, Yu Zheng, Hongming Yang, Guibin Wang and Yunqi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Renewable and Sustainable Energy Reviews.

In The Last Decade

Jing Qiu

359 papers receiving 9.1k citations

Hit Papers

Electric Vehicle Battery Charging/Swap Stations in Distri... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Qiu China 49 7.3k 3.1k 1.7k 1.1k 611 378 9.3k
Michael Negnevitsky Australia 42 5.5k 0.8× 2.8k 0.9× 1.2k 0.7× 779 0.7× 721 1.2× 379 8.4k
Hongjie Jia China 54 9.2k 1.3× 4.1k 1.3× 1.8k 1.0× 1.3k 1.2× 720 1.2× 490 10.6k
Qi Huang China 53 6.2k 0.9× 3.5k 1.1× 963 0.6× 1.4k 1.2× 835 1.4× 515 9.1k
Yijia Cao China 55 9.3k 1.3× 5.4k 1.7× 1.4k 0.8× 1.2k 1.1× 543 0.9× 453 11.6k
Tao Ding China 53 7.6k 1.0× 3.1k 1.0× 686 0.4× 893 0.8× 909 1.5× 471 10.1k
Weihao Hu China 55 7.0k 1.0× 3.7k 1.2× 1.1k 0.6× 1.7k 1.5× 739 1.2× 411 9.2k
Zhao Xu Hong Kong 53 9.8k 1.4× 5.1k 1.6× 1.1k 0.6× 924 0.8× 930 1.5× 369 11.3k
Feng Gao China 50 7.2k 1.0× 5.4k 1.7× 1.4k 0.8× 534 0.5× 775 1.3× 572 10.1k
Qinglai Guo China 48 6.9k 1.0× 3.3k 1.1× 763 0.4× 914 0.8× 469 0.8× 342 7.9k
Amjad Anvari‐Moghaddam Denmark 56 8.3k 1.1× 4.5k 1.5× 1.2k 0.7× 1.6k 1.4× 978 1.6× 346 10.0k

Countries citing papers authored by Jing Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Qiu. A scholar is included among the top collaborators of Jing Qiu 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 Jing Qiu. Jing Qiu 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.
Yu, Tingting, Yawen Mao, Jing Qiu, Yuyang Zhang, & Jinting Liu. (2025). Positive memory bias among grateful people: Examining gratitude as emotion, mood, and affective trait. Personality and Individual Differences. 247. 113403–113403.
2.
Qiu, Jing, et al.. (2025). Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices. SHILAP Revista de lepidopterología. 6(1). 26–38. 1 indexed citations
3.
Qiu, Jing & Dan Li. (2024). Analyst tracking and innovation inconsistency in companies. Research in International Business and Finance. 71. 102484–102484. 2 indexed citations
4.
Wang, Xinqi, et al.. (2024). Creating comfortable outdoor environments: Understanding the intricate relationship between sound, humidity, and thermal comfort. Urban Climate. 55. 101967–101967. 6 indexed citations
5.
Wang, Guibin, et al.. (2024). Conv‐ELSTM: An ensemble deep learning approach for predicting short‐term wind power. IET Renewable Power Generation. 18(16). 4084–4096. 3 indexed citations
6.
Qiu, Jing, Tingting Ding, Jiayu Wang, et al.. (2024). Integrated erbium-doped waveguide amplifier on lithium niobate on insulator. Optical Materials Express. 14(8). 1985–1985. 7 indexed citations
7.
Zhou, Liming, Jiangfeng Wang, Guozhong Dai, Min Tang, & Jing Qiu. (2024). DEMATEL and ISM analysis of factors influencing coal spontaneous combustion in longwall gobs. Journal of the Southern African Institute of Mining and Metallurgy. 124(5). 231–238. 1 indexed citations
8.
Sun, Xianzhuo, Jing Qiu, Yuechuan Tao, Huichuan Liu, & Junhua Zhao. (2024). Customized Coordinated Voltage Regulation and Voyage Scheduling for All-Electric Ships in Seaport Microgrids. IEEE Transactions on Sustainable Energy. 15(3). 1515–1527. 7 indexed citations
9.
Yang, Wen, et al.. (2023). Research on intermittent fault of bond wire under thermal and vibration shock based on simulation and experiments. Microelectronics Reliability. 150. 115214–115214. 1 indexed citations
10.
Liu, Jinjie, Guolong Liu, Huan Zhao, et al.. (2023). A real-time carbon emission estimation framework for industrial parks with non-intrusive load monitoring. Sustainable Energy Technologies and Assessments. 60. 103482–103482. 8 indexed citations
11.
Chen, Mian, Xiao‐Qiao Wang, Xu Hou, et al.. (2023). Enhanced mechanical, bio-corrosion, and antibacterial properties of Ti-Cu alloy by forming a gradient nanostructured surface layer. Surface and Coatings Technology. 465. 129609–129609. 20 indexed citations
13.
Ruan, Jiaqi, Gaoqi Liang, Junhua Zhao, et al.. (2023). Deep learning for cybersecurity in smart grids: Review and perspectives. SHILAP Revista de lepidopterología. 4(4). 233–251. 41 indexed citations
14.
Borozan, Stefan, et al.. (2023). Battery Swapping Dispatch for Self-Sustained Highway Energy System Based on Spatiotemporal Deep-Learning Traffic Flow Prediction. IEEE Transactions on Industry Applications. 60(1). 1058–1070. 4 indexed citations
15.
Lu, Xin, Jing Qiu, Cuo Zhang, Gang Lei, & Jianguo Zhu. (2023). Assembly and Competition for Virtual Power Plants With Multiple ESPs Through a “Recruitment–Participation” Approach. IEEE Transactions on Power Systems. 39(2). 4382–4396. 12 indexed citations
16.
Xiao, Yao, et al.. (2019). Highly sensitive and stable printed pressure sensor with microstructured grid arrays. Smart Materials and Structures. 28(10). 105027–105027. 21 indexed citations
17.
Liu, Guanjun, et al.. (2019). Performance evaluation and analysis for dipole source localization with lateral line sensor arrays. Measurement Science and Technology. 30(11). 115107–115107. 8 indexed citations
18.
Shen, Wei, Jing Qiu, & Zhaoyang Dong. (2018). Electricity network planning targeting Low-Carbon energy transition. SHILAP Revista de lepidopterología. 15 indexed citations
19.
Qiu, Jing, et al.. (2017). Network reinforcement for grid resiliency under extreme events. 1–5. 6 indexed citations
20.
Zheng, Yu, Junhua Zhao, Yue Song, et al.. (2017). Optimal Operation of Battery Energy Storage System Considering Distribution System Uncertainty. IEEE Transactions on Sustainable Energy. 9(3). 1051–1060. 91 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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