Xiaobing Kong

1.2k citations
33 papers · 888 · h-index 16

Impact in

Papers in

Xiaobing Kong

30 papers receiving 861 citations

Peers

Xiaobing Kong
Comparison fields: 5 of 53
  • Energy Engineering and Power Technology 85
  • Control and Systems Engineering 632
  • Electrical and Electronic Engineering 361
  • Automotive Engineering 47
  • Renewable Energy, Sustainability and the Environment 62
Replace Md. Rafiqul Islam Sheikh with:
Md. Rafiqul Islam Sheikh Bangladesh
Lei Pan China
Ardyono Priyadi Indonesia
Hexu Sun China
Mahmood Joorabian Iran
Zhongwei Lin China
Ali Zilouchian United States
Zhen Dong China
Yi Zheng China
Yang Yuan China
Xiaobing Kong relative to Md. Rafiqul Islam Sheikh Bangladesh Md. Rafiqul Islam Sheikh's profile →
Citations per field
00.5×3.3×
Md. Rafiqul Islam Sheikh · 1×
Citations per year

Countries citing papers authored by Xiaobing Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobing Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaobing Kong Line = papers co-authored together Xiaobing Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019138
2 2012128
3 2013113
4 201559
5 202050
6 202349
7 201644
8 202043
9 201941
10 202136
11 202030
12 202324
13 202319
14 202018
15 201917
16 201915
17 202412
18 202310
19 20128
20 20247

About Xiaobing Kong

Xiaobing Kong is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Energy Engineering and Power Technology and Aerospace Engineering, having authored 33 papers that have together received 888 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (16 papers), Fault Detection and Control Systems (11 papers), Microgrid Control and Optimization (6 papers), Wind Turbine Control Systems (6 papers), Iterative Learning Control Systems (6 papers), Process Optimization and Integration (4 papers), Control Systems and Identification (4 papers) and Photovoltaic System Optimization Techniques (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (85 citations), Control and Systems Engineering (632 citations), Electrical and Electronic Engineering (361 citations), Automotive Engineering (47 citations) and Renewable Energy, Sustainability and the Environment (62 citations). Xiaobing Kong has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Xiangjie Liu, Kwang Y. Lee, Lele Ma, Guolian Hou, Jihong Wang, Mohamed Abdelkarim Abdelbaky, Qian Wu, Ahmad H. Besheer, Yuanyan Liu and Ce Wang. Their work appears in journals such as Energy, Renewable Energy, IEEE Transactions on Systems Man and Cybernetics Systems, Information Sciences and Energies.

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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