Ming-Lang Lin

30 papers receiving 1.2k citations

Peers

Ming-Lang Lin
Comparison fields: 5 of 52
  • Management, Monitoring, Policy and Law 886
  • Safety, Risk, Reliability and Quality 357
  • Civil and Structural Engineering 574
  • Atmospheric Science 218
  • Mechanics of Materials 250
Replace Claudio Scavia with:
Claudio Scavia Italy
Chengren Xiong China
S.M. Springman Switzerland
Xuanmei Fan China
Andrea Segalini Italy
Jian-Hong Wu Taiwan
Jiewei Zhan China
Xiewen Hu China
Guangcheng Zhang China
Ping Sun China
Ming-Lang Lin relative to Claudio Scavia Italy Claudio Scavia's profile →
Citations per field
00.5×1.5×
Claudio Scavia · 1×
Citations per year

Countries citing papers authored by Ming-Lang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Lang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Lang Lin. 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 Ming-Lang Lin. The network helps show where Ming-Lang Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009231
2 2008208
3 2006144
4 200799
5 201591
6 200674
7 201467
8 200559
9 201246
10 200232
11 202022
12 202122
13 201715
14 201814
15 201314
16 201913
17 202110
18 20149
19 20078
20 20055

About Ming-Lang Lin

Ming-Lang Lin is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering, Mechanics of Materials, Atmospheric Science and Ocean Engineering, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Landslides and related hazards (22 papers), Rock Mechanics and Modeling (10 papers), Geotechnical Engineering and Underground Structures (7 papers), Cryospheric studies and observations (7 papers), Geophysical Methods and Applications (5 papers), Dam Engineering and Safety (4 papers), Geotechnical Engineering and Analysis (4 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (886 citations), Safety, Risk, Reliability and Quality (357 citations), Civil and Structural Engineering (574 citations), Atmospheric Science (218 citations) and Mechanics of Materials (250 citations). Ming-Lang Lin has collaborated with scholars based in Taiwan, France and China. Frequent co-authors include Fu‐Shu Jeng, Yu‐Chang Chan, Chyi‐Tyi Lee, Cheng-Han Lin, Jyr‐Ching Hu, Chao-Lung Tang, Kuo-Jen Chang, Jia‐Jyun Dong, Chia-Yü Lu and Hao‐Tsu Chu. Their work appears in journals such as Engineering Geology, Terrestrial Atmospheric and Oceanic Sciences, Environmental Earth Sciences, Geotextiles and Geomembranes and International Journal of Applied Earth Observation and Geoinformation.

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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