Gang Mei

4.1k citations
151 papers · 2.8k indexed · 1 hit paper · h-index 30
Topics
Landslides and related hazards (44 papers)Rock Mechanics and Modeling (22 papers)Computational Geometry and Mesh Generation (17 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsApplied Energy
Partner nations
ChinaItalyUnited States

In The Last Decade

Gang Mei

148 papers receiving 2.8k citations

Hit Papers

Deep learning for geological hazards analysis: Data, mode...2021202620222024202150100150200

Peers

Gang Mei
Comparison fields: 5 of 150
  • Management, Monitoring, Policy and Law 749
  • Mechanics of Materials 672
  • Civil and Structural Engineering 494
  • Artificial Intelligence 368
  • Safety, Risk, Reliability and Quality 365
Replace Francesco Nex with:
Francesco Nex Netherlands
Marco Scaioni Italy
Yosoon Choi South Korea
Gang Wang China
Kun Luo China
Muneo Hori Japan
Shiwei Zhao China
Andrew Chan Australia
Majidreza Nazem Australia
Xuan-Nam Bui Vietnam
Gang Mei relative to Francesco Nex Netherlands Francesco Nex's profile →
Citations per field
00.5×10×12.9×
Francesco Nex · 1×
Citations per year

Countries citing papers authored by Gang Mei

Since Specialization
Citations

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

Fields of papers citing papers by Gang Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Mei. A scholar is included among the top collaborators of Gang Mei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Mei. Gang Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 0
4 1
5 8
6 2
7 3
8 16
9 2
10 3
11 4
12 5
13 5
14 3
15 109
16 1
17 5
18 110
19 47
20 17

About Gang Mei

Gang Mei is a scholar working on Computer Graphics and Computer-Aided Design, Management, Monitoring, Policy and Law and Safety, Risk, Reliability and Quality, having authored 151 papers that have together received 2.8k indexed citations. Recurring topics across this work include Landslides and related hazards (44 papers), Rock Mechanics and Modeling (22 papers) and Computational Geometry and Mesh Generation (17 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (749 citations), Safety, Risk, Reliability and Quality (365 citations) and Developmental Biology (63 citations). Gang Mei has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Zhengjing Ma, Nengxiong Xu, Francesco Piccialli, Hong Tian, Salvatore Cuomo, Guosheng Jiang, Zhennan Zhu, Bin Dou, Xiaoyu Qi and Leihua Yao. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

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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