Ran Meng

2.2k citations
45 papers · 1.6k indexed · h-index 24
Topics
Remote Sensing in Agriculture (33 papers)Remote Sensing and LiDAR Applications (19 papers)Fire effects on ecosystems (10 papers)

In The Last Decade

Ran Meng

41 papers receiving 1.6k citations

Peers

Ran Meng
Comparison fields: 5 of 84
  • Ecology 1.0k
  • Global and Planetary Change 865
  • Environmental Engineering 598
  • Plant Science 285
  • Atmospheric Science 253
Replace Alicia Palacios‐Orueta with:
Alicia Palacios‐Orueta Spain
Feng Zhao China
Stéphane Mermoz France
Brigitte Leblon Canada
Veraldo Liesenberg Brazil
Antônio Roberto Formaggio Brazil
Temuulen Tsagaan Sankey United States
Hua Sun China
Jan van Aardt United States
Mbulisi Sibanda South Africa
Ran Meng relative to Alicia Palacios‐Orueta Spain Alicia Palacios‐Orueta's profile →
Citations per field
00.5×3.4×
Alicia Palacios‐Orueta · 1×
Citations per year

Countries citing papers authored by Ran Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ran Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Meng. A scholar is included among the top collaborators of Ran Meng 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 Ran Meng. Ran Meng 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 0
2 1
3 1
4 8
5 23
6 24
7 17
8 23
9 22
10 27
11 13
12 47
13 34
14 104
15 63
16
Study the Spectral and Structural Signatures of Canopy Defoliation by Herbivorous Insects at the Individual Tree Level using Bi-temporal Airborne Imaging Spectroscopy and LiDAR Measurements
2
17 20
18 42
19 24
20 44

About Ran Meng

Ran Meng is a scholar working on Environmental Engineering, Ecology and Ecological Modeling, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (33 papers), Remote Sensing and LiDAR Applications (19 papers) and Fire effects on ecosystems (10 papers). The work is most often cited by research in Environmental Engineering (598 citations), Global and Planetary Change (865 citations) and Ecology (1.0k citations). Ran Meng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Feng Zhao, Philip E. Dennison, Shawn Serbin, Chengquan Huang, Jin Wu, Carla M. D’Antonio, Max A. Moritz, Bruce D. Cook, Rui Sun and Linglin Zeng. Their work appears in journals such as PLoS ONE, Remote Sensing of Environment and New Phytologist.

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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