Hui Yang

1.5k citations
132 papers · 1.1k · h-index 15

Impact in

Papers in

Hui Yang

116 papers receiving 1.1k citations

Peers

Hui Yang
Comparison fields: 5 of 113
  • Industrial and Manufacturing Engineering 205
  • Control and Systems Engineering 395
  • Artificial Intelligence 342
  • Transportation 65
  • Automotive Engineering 95
Replace Darong Huang with:
Darong Huang China
Rizk M. Rizk‐Allah Egypt
Dunwei Gong China
Tung-Kuan Liu Taiwan
Qinghai Miao China
Hemant Kumar Singh Australia
Jiawei Zhang China
Hui Yang relative to Darong Huang China Darong Huang's profile →
Citations per field
00.5×
Darong Huang · 1×
Citations per year

Countries citing papers authored by Hui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Yang, 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 Hui Yang Line = papers co-authored together Hui Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data Mining: Concepts and Techniques
2008184
2 200666
3 201559
4 201949
5 201337
6 201734
7 202034
8 201933
9 202231
10 202329
11 202027
12 201824
13 201620
14 201618
15 201515
16 201714
17 202013
18 202113
19 202212
20 202112

About Hui Yang

Hui Yang is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 132 papers that have together received 1.1k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (26 papers), Adaptive Control of Nonlinear Systems (19 papers), Fault Detection and Control Systems (16 papers), Railway Engineering and Dynamics (16 papers), Advanced Control Systems Optimization (12 papers), Face and Expression Recognition (11 papers), Electric and Hybrid Vehicle Technologies (10 papers) and Advanced Algorithms and Applications (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (205 citations), Control and Systems Engineering (395 citations), Artificial Intelligence (342 citations), Transportation (65 citations) and Automotive Engineering (95 citations). Hui Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jamie Callan, Feiping Nie, Dianhui Wang, Jianyong Zhu, Zhijun Zhang, Eva K. Lee, Jiawei Luo, Xiujun Zhang, Mohammad Reza Farahani and Luojun Yang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Neurocomputing, IEEE Access, Control Engineering Practice and Information Sciences.

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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