Pei Du

2.8k total citations
35 papers, 2.4k citations indexed

About

Pei Du is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Pei Du has authored 35 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 11 papers in Management Science and Operations Research. Recurrent topics in Pei Du's work include Energy Load and Power Forecasting (23 papers), Electric Power System Optimization (12 papers) and Grey System Theory Applications (7 papers). Pei Du is often cited by papers focused on Energy Load and Power Forecasting (23 papers), Electric Power System Optimization (12 papers) and Grey System Theory Applications (7 papers). Pei Du collaborates with scholars based in China, Australia and Macao. Pei Du's co-authors include Jianzhou Wang, Wendong Yang, Tong Niu, Zhenhai Guo, Haiyan Lu, Hao Yan, Kequan Zhang, Chunying Wu, Xuejun Chen and Yifan Li and has published in prestigious journals such as Journal of Cleaner Production, Environmental Pollution and Applied Energy.

In The Last Decade

Pei Du

34 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Du China 23 1.7k 754 698 381 277 35 2.4k
Tong Niu China 27 1.8k 1.1× 816 1.1× 783 1.1× 404 1.1× 257 0.9× 47 2.7k
Ping Jiang China 26 1.8k 1.1× 757 1.0× 713 1.0× 379 1.0× 276 1.0× 44 2.5k
Wendong Yang China 30 2.2k 1.4× 969 1.3× 1.1k 1.5× 527 1.4× 363 1.3× 50 3.3k
Xinsong Niu China 23 1.2k 0.7× 520 0.7× 454 0.7× 260 0.7× 218 0.8× 27 1.6k
Hao Yan China 28 968 0.6× 401 0.5× 425 0.6× 408 1.1× 132 0.5× 84 2.5k
Xiwei Mi China 18 1.7k 1.0× 751 1.0× 351 0.5× 349 0.9× 381 1.4× 29 2.2k
Jujie Wang China 22 1.3k 0.8× 482 0.6× 933 1.3× 267 0.7× 222 0.8× 81 2.2k
Jinxing Che China 22 1.0k 0.6× 422 0.6× 425 0.6× 416 1.1× 81 0.3× 59 1.9k
Zhu Duan China 24 962 0.6× 430 0.6× 261 0.4× 553 1.5× 213 0.8× 49 1.7k
Farshid Keynia Iran 35 3.2k 1.9× 1.2k 1.6× 718 1.0× 282 0.7× 261 0.9× 91 4.5k

Countries citing papers authored by Pei Du

Since Specialization
Citations

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

Fields of papers citing papers by Pei Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Du

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Du. A scholar is included among the top collaborators of Pei Du 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 Pei Du. Pei Du 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.
Wu, Yingnan, Lei Zhou, Yanqing Peng, et al.. (2025). Relation knowledge distillation 3D-ResNet-based deep learning for breast cancer molecular subtypes prediction on ultrasound videos: a multicenter study. British Journal of Cancer. 133(8). 1178–1188. 1 indexed citations
2.
Yu, Qi, et al.. (2024). A paradigm shift in solar energy forecasting: A novel two-phase model for monthly residential consumption. Energy. 305. 132192–132192. 6 indexed citations
3.
Li, Mingzhu, et al.. (2024). An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting. Applied Energy. 375. 124057–124057. 29 indexed citations
4.
Liu, Longlong, et al.. (2024). A robust time-varying weight combined model for crude oil price forecasting. Energy. 299. 131352–131352. 11 indexed citations
5.
Du, Pei & Nirupama Bulusu. (2022). Indoor navigation for visually impaired people with vertex colored graphs. 587–588. 1 indexed citations
6.
Du, Pei & Nirupama Bulusu. (2021). An automated AR-based annotation tool for indoor navigation for visually impaired people. PDXScholar (Portland State University). 1–4. 9 indexed citations
7.
Du, Pei, et al.. (2021). Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. 35. 807–816. 1 indexed citations
8.
Du, Pei, Jianzhou Wang, Tong Niu, & Wendong Yang. (2021). PM2.5 prediction and related health effects and economic cost assessments in 2020 and 2021: Case studies in Jing-Jin-Ji, China. Knowledge-Based Systems. 233. 107487–107487. 15 indexed citations
9.
Wang, Jianzhou, Tong Niu, Pei Du, & Wendong Yang. (2020). Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price. Applied Soft Computing. 95. 106509–106509. 41 indexed citations
10.
Du, Pei, Jianzhou Wang, Hao Yan, Tong Niu, & Wendong Yang. (2020). A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting. Applied Soft Computing. 96. 106620–106620. 127 indexed citations
11.
Niu, Tong, Jianzhou Wang, Haiyan Lu, Wendong Yang, & Pei Du. (2020). A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price. IEEE Transactions on Industrial Informatics. 17(7). 4602–4612. 26 indexed citations
12.
Wang, Jianzhou, Tong Niu, Haiyan Lu, Wendong Yang, & Pei Du. (2019). A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting. IEEE Transactions on Sustainable Energy. 11(1). 337–349. 106 indexed citations
13.
Wang, Jianzhou, Pei Du, Hao Yan, et al.. (2019). An innovative hybrid model based on outlier detection and correction algorithm and heuristic intelligent optimization algorithm for daily air quality index forecasting. Journal of Environmental Management. 255. 109855–109855. 107 indexed citations
14.
Yang, Wendong, Jianzhou Wang, Tong Niu, & Pei Du. (2019). A novel system for multi-step electricity price forecasting for electricity market management. Applied Soft Computing. 88. 106029–106029. 96 indexed citations
15.
Wang, Jianzhou, Wendong Yang, Pei Du, & Tong Niu. (2019). Outlier-robust hybrid electricity price forecasting model for electricity market management. Journal of Cleaner Production. 249. 119318–119318. 59 indexed citations
16.
Wang, Jianzhou, Wendong Yang, Pei Du, & Tong Niu. (2018). A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm. Energy Conversion and Management. 163. 134–150. 193 indexed citations
17.
Du, Pei, Jianzhou Wang, Wendong Yang, & Tong Niu. (2018). Multi-step ahead forecasting in electrical power system using a hybrid forecasting system. Renewable Energy. 122. 533–550. 128 indexed citations
18.
Wang, Jianzhou, Tong Niu, Haiyan Lu, et al.. (2017). An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms. Applied Energy. 211. 492–512. 85 indexed citations
19.
20.
Niu, Tong, Jianzhou Wang, Haiyan Lu, & Pei Du. (2017). Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed. Energy Conversion and Management. 156. 597–617. 44 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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