Yanping Lv

480 citations
24 papers · 362 indexed · h-index 11

Impact in

  • Geology top 10%
    • Geological and Geophysical Studies
    • Seismic Imaging and Inversion Techniques
    • earthquake and tectonic studies

Papers in

Yanping Lv

23 papers receiving 348 citations

Peers

Yanping Lv
Comparison fields: 5 of 87
  • Geology 32
  • Geophysics 74
  • Mechanics of Materials 85
  • Earth-Surface Processes 20
  • Computer Vision and Pattern Recognition 52
Replace Emilien Dupont with:
Emilien Dupont United Kingdom
Xuan Chen China
Greg Benson United States
F.J. Cañadas-Quesada Spain
Yves Mathieu France
Kefei Chen China
Qingying Zhao China
Yanli Liu China
Tao Xie China
Yanping Lv relative to Emilien Dupont United Kingdom Emilien Dupont's profile →
Citations per field
00.5×12×
Emilien Dupont · 1×
Citations per year

Countries citing papers authored by Yanping Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 202212
4 20226
5 202215
6 202116
7 201834
8 2017121
9 20174
10 20155
11 20152
12 20143
13 20131
14 20111
15 201014
16 201010
17 20092
18 200816
19 20061
20 200610

About Yanping Lv

Yanping Lv is a scholar working on Geology, General Social Sciences, Signal Processing, Media Technology and Artificial Intelligence, having authored 24 papers that have together received 362 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers), Power Systems Fault Detection (3 papers), ECG Monitoring and Analysis (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Image Fusion Techniques (2 papers), Biometric Identification and Security (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Geology (32 citations), Geophysics (74 citations), Mechanics of Materials (85 citations), Earth-Surface Processes (20 citations) and Computer Vision and Pattern Recognition (52 citations). Yanping Lv has collaborated with scholars based in China, Malaysia and Bangladesh. Frequent co-authors include Dazhen Lin, Donglin Cao, Fei Tian, Xinbian Lu, Debin Yang, Tao Li, Xinhua Li, Yan Wang, Baoling Wang and Dandan Ge. Their work appears in journals such as Neurocomputing, International Journal of Computational Intelligence Systems, ACS Sustainable Chemistry & Engineering, Journal of Urban Planning and Development and Human Cell.

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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