Kangping Li

4.6k total citations · 1 hit paper
96 papers, 3.6k citations indexed

About

Kangping Li is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Artificial Intelligence. According to data from OpenAlex, Kangping Li has authored 96 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Electrical and Electronic Engineering, 22 papers in Renewable Energy, Sustainability and the Environment and 21 papers in Artificial Intelligence. Recurrent topics in Kangping Li's work include Smart Grid Energy Management (60 papers), Energy Load and Power Forecasting (43 papers) and Electric Vehicles and Infrastructure (21 papers). Kangping Li is often cited by papers focused on Smart Grid Energy Management (60 papers), Energy Load and Power Forecasting (43 papers) and Electric Vehicles and Infrastructure (21 papers). Kangping Li collaborates with scholars based in China, United States and Portugal. Kangping Li's co-authors include Fei Wang, Zengqiang Mi, João P. S. Catalào, Zhao Zhen, Miadreza Shafie‐khah, Xinxin Ge, Tieqiang Wang, Zhiming Xuan, Xiaoxing Lu and Min Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Biology and Applied Energy.

In The Last Decade

Kangping Li

89 papers receiving 3.5k citations

Hit Papers

A day-ahead PV power forecasting method based on LSTM-RNN... 2020 2026 2022 2024 2020 100 200 300 400
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 day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
    2020 483 citations Fei Wang, Zhiming Xuan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangping Li China 31 3.0k 1.2k 1.1k 602 322 96 3.6k
Zengqiang Mi China 26 2.3k 0.8× 1.0k 0.9× 844 0.8× 589 1.0× 196 0.6× 133 2.8k
Haixiang Zang China 29 2.4k 0.8× 1.2k 1.1× 861 0.8× 487 0.8× 232 0.7× 121 3.1k
Youwei Jia China 27 3.6k 1.2× 758 0.6× 470 0.4× 1.1k 1.8× 594 1.8× 119 4.5k
Jianchun Peng China 24 2.5k 0.8× 985 0.8× 455 0.4× 831 1.4× 153 0.5× 81 3.1k
Guibin Wang China 26 2.4k 0.8× 588 0.5× 321 0.3× 693 1.2× 232 0.7× 90 3.1k
Weicong Kong Australia 19 2.8k 0.9× 760 0.6× 342 0.3× 533 0.9× 815 2.5× 30 3.3k
Roberto Napoli Italy 27 2.5k 0.8× 309 0.3× 365 0.3× 925 1.5× 241 0.7× 106 3.2k
Akın Taşçıkaraoğlu Türkiye 23 2.1k 0.7× 414 0.4× 268 0.2× 585 1.0× 298 0.9× 68 2.3k
Madeleine Gibescu Netherlands 32 3.8k 1.3× 324 0.3× 432 0.4× 1.4k 2.4× 648 2.0× 180 4.4k
Ricardo J. Bessa Portugal 40 4.7k 1.6× 890 0.8× 559 0.5× 957 1.6× 131 0.4× 153 5.3k

Countries citing papers authored by Kangping Li

Since Specialization
Citations

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

Fields of papers citing papers by Kangping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangping Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kangping Li. A scholar is included among the top collaborators of Kangping 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 Kangping Li. Kangping 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.
Peng, Lu, H. Lan, Zhihao Jiang, et al.. (2025). A bi-level solution strategy based on distributed proximal policy optimization for transmission and distribution network dispatch with EVs and variable energy. Applied Energy. 384. 125405–125405. 2 indexed citations
2.
3.
Li, Kangping, Jingyi Zhang, A.R.G. Wylie, et al.. (2025). Chitooligosaccharide receptors modulate root microbiota to enhance symbiosis and growth in Medicago. Current Biology. 35(16). 3930–3942.e4.
4.
Wang, Yanyan, et al.. (2025). An Optimal Competitive Bidding and Pricing Strategy for Electric Vehicle Aggregator Considering the Bounded Rationality of Users. IEEE Transactions on Industry Applications. 61(3). 4898–4912. 1 indexed citations
5.
Hao, Peng, et al.. (2025). Multi-spatio-temporal scale coordinated dispatch for modern distribution systems with long-duration energy storage. Energy. 335. 138079–138079. 1 indexed citations
6.
7.
Wang, Qi, et al.. (2025). Risk-averse frequency regulation strategy of electric vehicle aggregator considering multiple uncertainties. Applied Energy. 382. 125259–125259. 6 indexed citations
8.
Li, Kangping, et al.. (2024). Online transfer learning-based residential demand response potential forecasting for load aggregator. Applied Energy. 358. 122631–122631. 23 indexed citations
9.
Zhang, Jingyi, Jongho Sun, Kangping Li, et al.. (2024). A receptor required for chitin perception facilitates arbuscular mycorrhizal associations and distinguishes root symbiosis from immunity. Current Biology. 34(8). 1705–1717.e6. 21 indexed citations
10.
Li, Kangping, et al.. (2024). Strategic joint bidding and pricing of load aggregators in day-ahead demand response market. Applied Energy. 377. 124552–124552. 13 indexed citations
11.
12.
Li, Kangping, et al.. (2023). Strategic Bidding of Load Aggregator in Demand Response Market Considering Shared Energy Storage. 2273–2280. 2 indexed citations
13.
Li, Kangping, Yuxi Wang, Ning Zhang, & Fei Wang. (2022). Precision and Accuracy Co-Optimization-Based Demand Response Baseline Load Estimation Using Bidirectional Data. IEEE Transactions on Smart Grid. 14(1). 266–276. 17 indexed citations
14.
Ge, Xinxin, Fei Xu, Yuxi Wang, et al.. (2022). Spatio-Temporal Two-Dimensions Data Based Customer Baseline Load Estimation Approach Using LASSO Regression. IEEE Transactions on Industry Applications. 58(3). 3112–3122. 37 indexed citations
15.
Li, Kangping, et al.. (2019). A Business Model Incorporating Harmonic Control as a Value-added Service for Utility-owned Electricity Retailers. Osuva (University of Vaasa). 7 indexed citations
16.
Li, Kangping, et al.. (2019). Decomposition-Accumulation Principle-Based Monthly Electricity Consumption Forecasting Approach Using EMD-XGBoost Hybrid Model. 2019 IEEE Sustainable Power and Energy Conference (iSPEC). 1096–1101. 3 indexed citations
17.
Wang, Fei, et al.. (2018). Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting. Applied Sciences. 8(8). 1286–1286. 151 indexed citations
18.
19.
Su, Shi, Zhao Zhen, Fei Wang, et al.. (2016). A classified irradiance forecast approach for solar PV prediction based on wavelet decomposition. 25. 1–5. 3 indexed citations
20.
Wang, Pengjun, Kangping Li, & Huihong Zhang. (2016). PMGA and its application in area and power optimization for ternary FPRM circuit. Journal of Semiconductors. 37(1). 15007–15007. 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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