Haibo Lv

479 citations
19 papers · 379 · h-index 8

Impact in

Papers in

Haibo Lv

17 papers receiving 373 citations

Peers

Haibo Lv
Comparison fields: 5 of 56
  • Civil and Structural Engineering 297
  • Building and Construction 108
  • Renewable Energy, Sustainability and the Environment 89
  • Environmental Engineering 60
  • Industrial and Manufacturing Engineering 23
Replace Yunshan Xu with:
Yunshan Xu China
Fabrice Dupray Switzerland
Renato Pinto da Cunha Brazil
Susit Chaiprakaikeow Thailand
Hyun-Jun Choi South Korea
D Adam Austria
Jincheng Fang China
Haibo Lv relative to Yunshan Xu China Yunshan Xu's profile →
Citations per field
00.5×3.3×
Yunshan Xu · 1×
Citations per year

Countries citing papers authored by Haibo Lv

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017105
2 201971
3 201965
4 201942
5 202030
6 201416
7 201715
8 201811
9 20117
10 20204
11 20183
12
Development of instrument for wetting-drying cycles of expansive soil under simulated loads and experimental research
20193
13
The Setting of Acoustic Emission Detecting Parameters in Concrete Structure
20082
14 20172
15
Research on State Trend Prediction of Cutting Chatter Based on Support Vector Regression
20061
16 20191
17 20191
18 20250
19 20240

About Haibo Lv

Haibo Lv is a scholar working on Civil and Structural Engineering, Renewable Energy, Sustainability and the Environment, Safety, Risk, Reliability and Quality, Environmental Engineering and Electrical and Electronic Engineering, having authored 19 papers that have together received 379 indexed citations. Recurring topics across this work include Soil and Unsaturated Flow (8 papers), Geothermal Energy Systems and Applications (4 papers), Groundwater flow and contamination studies (3 papers), Grouting, Rheology, and Soil Mechanics (3 papers), Advanced Measurement and Detection Methods (2 papers), Advanced Algorithms and Applications (2 papers), Geotechnical Engineering and Analysis (2 papers) and Advanced Sensor and Control Systems (2 papers). The work is most often cited by research in Civil and Structural Engineering (297 citations), Building and Construction (108 citations), Renewable Energy, Sustainability and the Environment (89 citations), Environmental Engineering (60 citations) and Industrial and Manufacturing Engineering (23 citations). Haibo Lv has collaborated with scholars based in China. Frequent co-authors include Yunshan Xu, Zhaotian Zeng, De’an Sun, Lei Wang, Shuang Chen, Wei Li, Jiong Zhang, Guangran Xu, Dezhi Yang and Baocang Liu. Their work appears in journals such as Engineering Geology, International Journal of Heat and Mass Transfer, Construction and Building Materials, Applied Clay Science and Structures.

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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