Gangqiang Li

1.6k total citations · 1 hit paper
34 papers, 1.2k citations indexed

About

Gangqiang Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Gangqiang Li has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Gangqiang Li's work include Energy Load and Power Forecasting (11 papers), Electric Power System Optimization (6 papers) and Solar Radiation and Photovoltaics (5 papers). Gangqiang Li is often cited by papers focused on Energy Load and Power Forecasting (11 papers), Electric Power System Optimization (6 papers) and Solar Radiation and Photovoltaics (5 papers). Gangqiang Li collaborates with scholars based in China, Hong Kong and Australia. Gangqiang Li's co-authors include Yitao Liu, Guibin Wang, Jianchun Peng, Huaizhi Wang, Hui Jiang, Jiantao Xin, Rongquan Zhang, Shengli Zhang, Huaizhi Wang and Huichuan Liu and has published in prestigious journals such as PLoS ONE, Applied Energy and IEEE Access.

In The Last Decade

Gangqiang Li

32 papers receiving 1.2k citations

Hit Papers

Deep learning based ensemble approach for probabilistic w... 2016 2026 2019 2022 2016 100 200 300 400 500
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. Deep learning based ensemble approach for probabilistic wind power forecasting
    2016 595 citations Gangqiang Li et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gangqiang Li China 12 900 521 229 123 113 34 1.2k
Abdelouhab Zeroual Morocco 16 506 0.6× 392 0.8× 211 0.9× 53 0.4× 65 0.6× 128 927
Yinghao Chu China 18 631 0.7× 1.1k 2.1× 827 3.6× 81 0.7× 64 0.6× 43 1.6k
Zhenxing Lei China 6 702 0.8× 392 0.8× 190 0.8× 93 0.8× 119 1.1× 9 915
Jesus Lago Netherlands 17 1.2k 1.4× 201 0.4× 244 1.1× 281 2.3× 219 1.9× 32 1.5k
Alberto Reyes Mexico 7 278 0.3× 177 0.3× 89 0.4× 39 0.3× 63 0.6× 31 595
Silvano Vergura Italy 19 451 0.5× 414 0.8× 687 3.0× 15 0.1× 109 1.0× 89 1.0k
Mohammad Khajehzadeh Iran 27 498 0.6× 316 0.6× 57 0.2× 17 0.1× 248 2.2× 80 1.5k
Mashud Rana Australia 18 780 0.9× 623 1.2× 368 1.6× 228 1.9× 56 0.5× 33 1.1k

Countries citing papers authored by Gangqiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Gangqiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangqiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gangqiang Li. A scholar is included among the top collaborators of Gangqiang Li 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 Gangqiang Li. Gangqiang Li 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.
Xu, Dandan, Su Zhuang, Gangqiang Li, et al.. (2025). Dual‐Graded Microstructure Engineering for Flexible Piezoresistive Sensors with High Sensitivity and Broad Linear Range in Physiological Monitoring. Advanced Science. 12(38). e07135–e07135. 2 indexed citations
2.
Gao, Jinfeng, et al.. (2025). Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 18330–18344.
3.
Zhang, Rongquan, Siqi Bu, Gangqiang Li, & Jing Qiu. (2025). Probabilistic prediction of photovoltaic power: A multi-task learning and large language model-based approach. Renewable Energy. 256. 124004–124004. 1 indexed citations
4.
Zhang, Rongquan, et al.. (2025). A novel multi-task learning model based on Transformer-LSTM for wind power forecasting. International Journal of Electrical Power & Energy Systems. 169. 110732–110732. 9 indexed citations
5.
Li, Gangqiang, Rongquan Zhang, Siqi Bu, Junming Zhang, & Jinfeng Gao. (2024). Probabilistic prediction-based multi-objective optimization approach for multi-energy virtual power plant. International Journal of Electrical Power & Energy Systems. 161. 110200–110200. 11 indexed citations
6.
Zhang, Rongquan, Siqi Bu, & Gangqiang Li. (2024). Multi-market P2P trading of cooling–heating-power-hydrogen integrated energy systems: An equilibrium-heuristic online prediction optimization approach. Applied Energy. 367. 123352–123352. 18 indexed citations
7.
Zhang, Rongquan, Siqi Bu, Min Zhou, et al.. (2024). Deep reinforcement learning based interpretable photovoltaic power prediction framework. Sustainable Energy Technologies and Assessments. 67. 103830–103830. 17 indexed citations
8.
Li, Gangqiang, et al.. (2023). Effects of Gestational Diabetes Management on Pregnancy Outcome. OALib. 10(2). 1–11. 1 indexed citations
9.
Li, Gangqiang, et al.. (2023). Self-Organized Operational Neural Networks for The Detection of Atrial Fibrillation. Journal of Artificial Intelligence and Soft Computing Research. 14(1). 63–75. 3 indexed citations
10.
Li, Gangqiang, et al.. (2023). A Novel Method for Automatic Detection of Arrhythmias Using the Unsupervised Convolutional Neural Network. Journal of Artificial Intelligence and Soft Computing Research. 13(3). 181–196. 1 indexed citations
11.
Zhang, Jiawei, Rongquan Zhang, Yanfeng Zhao, et al.. (2023). Deterministic and Probabilistic Prediction of Wind Power Based on a Hybrid Intelligent Model. Energies. 16(10). 4237–4237. 10 indexed citations
12.
Zhang, Rongquan, Gangqiang Li, Siqi Bu, Saddam Aziz, & Rizwan Qureshi. (2022). Data-driven cooperative trading framework for a risk-constrained wind integrated power system considering market uncertainties. International Journal of Electrical Power & Energy Systems. 144. 108566–108566. 19 indexed citations
13.
Wu, Sissi Xiaoxiao, Zixian Wu, Shihui Chen, Gangqiang Li, & Shengli Zhang. (2021). Community Detection in Blockchain Social Networks. Journal of Communications and Information Networks. 6(1). 59–71. 17 indexed citations
14.
Wu, Sissi Xiaoxiao, Gangqiang Li, Shengli Zhang, & Xiaohui Lin. (2021). Detection of Insider Attacks in Distributed Projected Subgradient Algorithms. IEEE Transactions on Cognitive Communications and Networking. 7(4). 1099–1111. 1 indexed citations
15.
Li, Gangqiang, et al.. (2020). Photovoltaic Power Forecasting With a Hybrid Deep Learning Approach. IEEE Access. 8. 175871–175880. 143 indexed citations
16.
Zhang, Rongquan, Gangqiang Li, & Zhengwei Ma. (2020). A Deep Learning Based Hybrid Framework for Day-Ahead Electricity Price Forecasting. IEEE Access. 8. 143423–143436. 67 indexed citations
17.
Li, Gangqiang, et al.. (2020). Detect Insider Attacks Using CNN in Decentralized Optimization. 147. 8758–8762. 7 indexed citations
18.
Li, Gangqiang, Huaizhi Wang, Shengli Zhang, Jiantao Xin, & Huichuan Liu. (2019). Recurrent Neural Networks Based Photovoltaic Power Forecasting Approach. Energies. 12(13). 2538–2538. 131 indexed citations
19.
Li, Gangqiang, et al.. (2017). DESCENT: Mission Architecture and Design Overview. 3 indexed citations
20.

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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