Weicong Kong

4.4k total citations · 2 hit papers
30 papers, 3.3k citations indexed

About

Weicong Kong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Weicong Kong has authored 30 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 9 papers in Control and Systems Engineering and 9 papers in Building and Construction. Recurrent topics in Weicong Kong's work include Smart Grid Energy Management (24 papers), Energy Load and Power Forecasting (13 papers) and Microgrid Control and Optimization (7 papers). Weicong Kong is often cited by papers focused on Smart Grid Energy Management (24 papers), Energy Load and Power Forecasting (13 papers) and Microgrid Control and Optimization (7 papers). Weicong Kong collaborates with scholars based in Australia, China and Hong Kong. Weicong Kong's co-authors include Zhao Yang Dong, David J. Hill, Yan Xu, Youwei Jia, Yuan Zhang, Fengji Luo, Junhua Zhao, Gianluca Ranzi, Jin Ma and Ke Meng and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Weicong Kong

29 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

2017 1.8k citations Weicong Kong, Zhao Yang Dong et al. IEEE Transactions on Smart Grid profile →
Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

2017 475 citations Weicong Kong, Zhao Yang Dong et al. profile →

Peers

Weicong Kong

EEE

CSE

MSOR

Mario Bergés United States

Kangping Li China

Phuong H. Nguyen Netherlands

Haixiang Zang China

Madeleine Gibescu Netherlands

Paras Mandal United States

Edoardo Patti Italy

Zhinong Wei China

Shouxiang Wang China

Mario Bergés United States

Weicong Kong

1.7k ×0.6

EEE

1.1k ×1.3

341 ×0.4

517 ×1.0

CSE

81 ×0.2

MSOR

Citations per year, relative to Weicong Kong Weicong Kong (= 1×) peers Mario Bergés

Countries citing papers authored by Weicong Kong

Since Specialization

Citations

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

Fields of papers citing papers by Weicong Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weicong Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Weicong Kong. A scholar is included among the top collaborators of Weicong Kong 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 Weicong Kong. Weicong Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

He, Yu, Fengji Luo, Gianluca Ranzi, & Weicong Kong. (2021). Short-Term Residential Load Forecasting Based on Federated Learning and Load Clustering. 77–82. 18 indexed citations

Kong, Weicong, Youwei Jia, Zhao Yang Dong, Ke Meng, & Songjian Chai. (2020). Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting. Applied Energy. 280. 115875–115875. 79 indexed citations

Luo, Fengji, Gianluca Ranzi, Weicong Kong, Gaoqi Liang, & Zhao Yang Dong. (2020). Personalized Residential Energy Usage Recommendation System Based on Load Monitoring and Collaborative Filtering. IEEE Transactions on Industrial Informatics. 17(2). 1253–1262. 39 indexed citations

Kong, Weicong, et al.. (2020). Automatic Online Partial Discharge Diagnosis via Deep Learning. UNSWorks (University of New South Wales, Sydney, Australia). 3361. 1–5. 3 indexed citations

Zhang, Yuan, Ke Meng, Weicong Kong, Zhao Yang Dong, & Feng Qian. (2019). Bayesian Hybrid Collaborative Filtering-Based Residential Electricity Plan Recommender System. IEEE Transactions on Industrial Informatics. 15(8). 4731–4741. 28 indexed citations

Zheng, Yu, Weicong Kong, Yue Song, & David J. Hill. (2019). Optimal Operation of Electric Springs for Voltage Regulation in Distribution Systems. IEEE Transactions on Industrial Informatics. 16(4). 2551–2561. 15 indexed citations

Zhang, Yuchen, Zhao Yang Dong, Weicong Kong, & Ke Meng. (2019). A Composite Anomaly Detection System for Data-Driven Power Plant Condition Monitoring. IEEE Transactions on Industrial Informatics. 16(7). 4390–4402. 45 indexed citations

Kong, Weicong, Zhao Yang Dong, Wang Bo, Junhua Zhao, & Jie Huang. (2019). A Practical Solution for Non-Intrusive Type II Load Monitoring Based on Deep Learning and Post-Processing. IEEE Transactions on Smart Grid. 11(1). 148–160. 119 indexed citations

Luo, Fengji, Weicong Kong, Gianluca Ranzi, & Zhao Yang Dong. (2019). Optimal Home Energy Management System With Demand Charge Tariff and Appliance Operational Dependencies. IEEE Transactions on Smart Grid. 11(1). 4–14. 114 indexed citations

10.

Zhang, Yuan, Ke Meng, Weicong Kong, & Zhao Yang Dong. (2018). Collaborative Filtering-Based Electricity Plan Recommender System. IEEE Transactions on Industrial Informatics. 15(3). 1393–1404. 38 indexed citations

11.

Luo, Fengji, Gianluca Ranzi, Weicong Kong, Zhao Yang Dong, & Fan Wang. (2018). Coordinated residential energy resource scheduling with vehicle‐to‐home and high photovoltaic penetrations. IET Renewable Power Generation. 12(6). 625–632. 32 indexed citations

12.

Kong, Weicong, Zhao Yang Dong, Youwei Jia, et al.. (2017). Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network. IEEE Transactions on Smart Grid. 10(1). 841–851. 1763 indexed citations breakdown →

13.

Luo, Fengji, Gianluca Ranzi, Weicong Kong, et al.. (2017). Non‐intrusive energy saving appliance recommender system for smart grid residential users. IET Generation Transmission & Distribution. 11(7). 1786–1793. 59 indexed citations

14.

Kong, Weicong, Zhao Yang Dong, Jin Ma, et al.. (2016). An Extensible Approach for Non-Intrusive Load Disaggregation With Smart Meter Data. IEEE Transactions on Smart Grid. 9(4). 3362–3372. 144 indexed citations

15.

Kong, Weicong, Zhaoyang Dong, Yan Xu, & David J. Hill. (2016). An enhanced bootstrap filtering method for non-intrusive load monitoring. 1–5. 8 indexed citations

16.

Zhang, Rui, Yan Xu, Zhao Yang Dong, Weicong Kong, & Kit Po Wong. (2016). A composite k-nearest neighbor model for day-ahead load forecasting with limited temperature forecasts. UWA Profiles and Research Repository (UWA). 1–5. 46 indexed citations

17.

Kong, Weicong, Zhao Yang Dong, David J. Hill, et al.. (2016). A Hierarchical Hidden Markov Model Framework for Home Appliance Modeling. IEEE Transactions on Smart Grid. 9(4). 3079–3090. 109 indexed citations

18.

Yang, Jiajia, Junhua Zhao, Fushuan Wen, Weicong Kong, & Zhaoyang Dong. (2016). Mining the big data of residential appliances in the smart grid environment. 1–5. 5 indexed citations

19.

Jia, Youwei, Zhao Xu, Chunxue Zhang, & Weicong Kong. (2016). Fast forecasting uncontrolled network separation in smart grid environment. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2. 742–746.

20.

Kong, Weicong, Zhao Yang Dong, David J. Hill, Fengji Luo, & Yan Xu. (2016). Improving Nonintrusive Load Monitoring Efficiency via a Hybrid Programing Method. IEEE Transactions on Industrial Informatics. 12(6). 2148–2157. 60 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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