Meng Lan

28 papers receiving 286 citations

Peers

Meng Lan
Comparison fields: 5 of 87
  • Renewable Energy, Sustainability and the Environment 32
  • Process Chemistry and Technology 5
  • Statistics, Probability and Uncertainty 12
  • Ocean Engineering 25
  • Mechanical Engineering 60
Replace Manali S. Zantye with:
Manali S. Zantye United States
Ke Zhu China
Astuty Amrin Malaysia
Mohammad Javad Esfahani Iran
Changhyun Kim South Korea
Aaron Smith United States
Hui Zhu China
Swapan Saha Australia
Meng Lan relative to Manali S. Zantye United States Manali S. Zantye's profile →
Citations per field
00.5×1.5×2.1×
Manali S. Zantye · 1×
Citations per year

Countries citing papers authored by Meng Lan

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201347
2 202338
3 202337
4 202230
5 202322
6 202412
7 202310
8 202310
9 20238
10 20258
11 20248
12 20117
13 20257
14 20256
15 20246
16 20256
17 20256
18 20105
19 19895
20 20194

About Meng Lan

Meng Lan is a scholar working on Statistics, Probability and Uncertainty, Environmental Engineering, Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering and Metals and Alloys, having authored 33 papers that have together received 295 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (3 papers), Risk and Safety Analysis (3 papers), Phase Equilibria and Thermodynamics (2 papers), Hydrogen embrittlement and corrosion behaviors in metals (2 papers), Combustion and Detonation Processes (2 papers), Energy, Environment, Economic Growth (2 papers), Corrosion Behavior and Inhibition (2 papers) and Concrete Corrosion and Durability (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (32 citations), Process Chemistry and Technology (5 citations), Statistics, Probability and Uncertainty (12 citations), Ocean Engineering (25 citations) and Mechanical Engineering (60 citations). Meng Lan has collaborated with scholars based in China, South Korea and Thailand. Frequent co-authors include Wenguo Weng, Zhichao He, Dequan Jiang, Weiping Li, Fang Yang, Hongxian Fan, Xueqing Yu, Peng Fei Gao, Chunhua Chen and Müslüm Arıcı. Their work appears in journals such as Journal of Pipeline Science and Engineering, AIP Advances, Molecular Catalysis, The Journal of Supercritical Fluids and Process Safety and Environmental Protection.

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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