Yang Kong

811 total citations
12 papers, 592 citations indexed

About

Yang Kong is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Yang Kong has authored 12 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 4 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Yang Kong's work include Combustion and Detonation Processes (4 papers), Aerosol Filtration and Electrostatic Precipitation (4 papers) and Energy Load and Power Forecasting (3 papers). Yang Kong is often cited by papers focused on Combustion and Detonation Processes (4 papers), Aerosol Filtration and Electrostatic Precipitation (4 papers) and Energy Load and Power Forecasting (3 papers). Yang Kong collaborates with scholars based in China, United States and Germany. Yang Kong's co-authors include Xiangjun Zeng, Xiaoqiao Chen, Jun Chen, Yuanyuan Wang, Ying Liu, Yuanyuan Wang, Gang Zhou, Jinjie Duan, Biao Sun and Qi Zhang and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and Fuel.

In The Last Decade

Yang Kong

11 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Kong China 10 385 106 92 84 84 12 592
Fakhreddine S. Oueslati Tunisia 13 531 1.4× 101 1.0× 264 2.9× 143 1.7× 80 1.0× 22 841
Jian Zheng China 13 243 0.6× 69 0.7× 95 1.0× 110 1.3× 54 0.6× 57 704
Yandong Yang China 11 406 1.1× 71 0.7× 107 1.2× 128 1.5× 111 1.3× 35 762
Tian Gao China 9 434 1.1× 73 0.7× 129 1.4× 92 1.1× 58 0.7× 19 654
Yusen Wang China 11 279 0.7× 30 0.3× 109 1.2× 93 1.1× 33 0.4× 27 565
Hai‐Kun Wang China 8 376 1.0× 75 0.7× 222 2.4× 90 1.1× 33 0.4× 32 637
Kishore Kulat India 15 398 1.0× 69 0.7× 119 1.3× 58 0.7× 17 0.2× 85 836
Guangbiao Liu China 8 382 1.0× 103 1.0× 96 1.0× 52 0.6× 50 0.6× 11 510
Kerop D. Janoyan United States 12 293 0.8× 35 0.3× 57 0.6× 64 0.8× 74 0.9× 38 746

Countries citing papers authored by Yang Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Kong

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

All Works

12 of 12 papers shown
2.
Zhou, Gang, Yang Kong, Xinming Qian, et al.. (2022). Explosion dynamics and sensitivity analysis of blended LPG/DME clean fuel promoted by H2 in a confined elongated space. Fuel. 331. 125816–125816. 32 indexed citations
3.
Zhou, Gang, et al.. (2022). Numerical analysis of dust pollution evolution law caused by ascensional/descensional ventilation in fully mechanized coal mining face based on DPM-DEM model. Journal of environmental chemical engineering. 10(3). 107732–107732. 26 indexed citations
4.
Zhang, Weiwei, Deji Chen, & Yang Kong. (2021). Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images. Sensors. 21(14). 4774–4774. 16 indexed citations
5.
Zhou, Gang, Jinjie Duan, Biao Sun, et al.. (2021). Numerical analysis on pollution law for dust and diesel exhaust particles in multi-ventilation parameter environment of mechanized excavation face. Process Safety and Environmental Protection. 157. 320–333. 23 indexed citations
7.
Wang, Yuanyuan, et al.. (2021). Short-term load forecasting of industrial customers based on SVMD and XGBoost. International Journal of Electrical Power & Energy Systems. 129. 106830–106830. 166 indexed citations
8.
Wang, Yuanyuan, et al.. (2020). Short-Term Industrial Load Forecasting Based on Ensemble Hidden Markov Model. IEEE Access. 8. 160858–160870. 23 indexed citations
9.
Wang, Yuanyuan, Jun Chen, Xiaoqiao Chen, et al.. (2020). Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM. IEEE Transactions on Power Systems. 36(3). 1984–1997. 243 indexed citations
10.
Zhou, Gang, et al.. (2020). CFD investigation on gas–solid two-phase flow of dust removal characteristics for cartridge filter: a case study. Environmental Science and Pollution Research. 28(11). 13243–13263. 19 indexed citations
11.
Wang, Yuanyuan, Xiangjun Zeng, Jun Liang, et al.. (2020). Studies on stator single-line-to-ground faults protection for a Powerformer considering the winding electromotive force distribution. International Journal of Electrical Power & Energy Systems. 119. 105940–105940. 6 indexed citations
12.
Wang, Yuanyuan, et al.. (2020). Stator Single-Line-to-Ground Fault Protection for Bus-Connected Powerformers Based on S-Transform and Bagging Ensemble Learning. IEEE Access. 8. 88322–88332. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026