Mingyang Lv

554 citations
42 papers · 367 · h-index 12

Impact in

Papers in

Mingyang Lv

36 papers receiving 357 citations

Peers

Mingyang Lv
Comparison fields: 5 of 81
  • Control and Systems Engineering 104
  • Energy Engineering and Power Technology 8
  • Electrical and Electronic Engineering 129
  • Signal Processing 20
  • Artificial Intelligence 58
Replace Jingbo Wang with:
Jingbo Wang China
Larry E. Banta United States
Xiangjun Zeng China
Lei Yuan China
Haonan Wang China
Zhiqiang Gao China
Andreas Theocharis Greece
Zhixiang Deng China
Mingyang Lv relative to Jingbo Wang China Jingbo Wang's profile →
Citations per field
00.5×3.3×
Jingbo Wang · 1×
Citations per year

Countries citing papers authored by Mingyang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202251
2 202226
3 201523
4 202221
5 202021
6 202319
7 202417
8 201816
9 202413
10 202013
11 202313
12 202012
13 202111
14 202211
15 202311
16 20209
17 20229
18 20178
19 20227
20 20237

About Mingyang Lv

Mingyang Lv is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering and Atomic and Molecular Physics, and Optics, having authored 42 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (5 papers), Machine Fault Diagnosis Techniques (5 papers), Advanced Fiber Laser Technologies (5 papers), Photonic and Optical Devices (4 papers), Anomaly Detection Techniques and Applications (3 papers), Industrial Technology and Control Systems (3 papers), Energy Load and Power Forecasting (3 papers) and Advanced Algorithms and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (104 citations), Energy Engineering and Power Technology (8 citations), Electrical and Electronic Engineering (129 citations), Signal Processing (20 citations) and Artificial Intelligence (58 citations). Mingyang Lv has collaborated with scholars based in China, United Kingdom and Russia. Frequent co-authors include Zhaohua Liu, Lei Chen, Hua‐Liang Wei, Xiaohua Li, Yuan Li, Xiaogang Zhang, Haijun Xu, Hongqiang Zhang, František Švec and Yongqin Lv. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Access, IEEE Photonics Technology Letters, Nonlinear Dynamics and Applied Intelligence.

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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