Lei Yang

147 papers receiving 3.1k citations

Hit Papers

Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation 2022 · 158 citations
1582020202620222024100200300

Peers

Lei Yang
Comparison fields: 5 of 129
  • Computer Networks and Communications 737
  • Control and Systems Engineering 690
  • Computer Science Applications 158
  • Electrical and Electronic Engineering 1.6k
  • Energy Engineering and Power Technology 80
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David Irwin United States
Li Shang United States
Bo Tang United States
Tarıq Samad United States
Bernhard Sick Germany
Abdellah Chehri Canada
Kashif Hussain China
Chi Zhang China
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Qiang Ling China
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Citations per year

Countries citing papers authored by Lei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202416
4 202412
5 20233
6 20221
7 202212
8 20223
9 202215
10 202232
11 20218
12 202145
13 202127
14 202012
15 202025
16 20204
17 202010
18 20201
19 201937
20
Research and realization of forecourt controller at gas station
20101

About Lei Yang

Lei Yang is a scholar working on Energy Engineering and Power Technology, Computer Networks and Communications, Computational Mathematics, Computer Science Applications and Control and Systems Engineering, having authored 161 papers that have together received 3.2k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (16 papers), IoT and Edge/Fog Computing (14 papers), Smart Grid Energy Management (11 papers), Microgrid Control and Optimization (10 papers), Electric Power System Optimization (10 papers), Auction Theory and Applications (9 papers), Energy Load and Power Forecasting (9 papers) and Mobile Crowdsensing and Crowdsourcing (9 papers). The work is most often cited by research in Computer Networks and Communications (737 citations), Control and Systems Engineering (690 citations), Computer Science Applications (158 citations), Electrical and Electronic Engineering (1.6k citations) and Energy Engineering and Power Technology (80 citations). Lei Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Junshan Zhang, Vijay Vittal, Miao He, Xu Chen, H. Vincent Poor, Jun Zhao, Muhammad Baqer Mollah, Amer M. Y. M. Ghias, Xin Zhang and Dusit Niyato. Their work appears in journals such as IEEE Internet of Things Journal, IEEE/ACM Transactions on Networking, IEEE Transactions on Smart Grid, IEEE Transactions on Mobile Computing and Medical Physics.

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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