Min Feng

4.9k citations
95 papers · 3.6k indexed · 2 hit papers · h-index 28
Topics
Remote Sensing in Agriculture (28 papers)Land Use and Ecosystem Services (22 papers)Cryospheric studies and observations (18 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
Partner nations
ChinaUnited StatesNepal

In The Last Decade

Min Feng

85 papers receiving 3.5k citations

Hit Papers

Global, 30-m resolution continuous fields of tree cover: ...201320262017202120132023100200300400500

Peers

Min Feng
Comparison fields: 5 of 119
  • Global and Planetary Change 2.1k
  • Ecology 1.7k
  • Environmental Engineering 1.1k
  • Atmospheric Science 808
  • Water Science and Technology 477
Replace Leo Lymburner with:
Leo Lymburner Australia
Ryutaro Tateishi Japan
Cuizhen Wang United States
Qinchuan Xin China
Phaedon Kyriakidis United States
Nicholas Clinton United States
Olivier Arinò Italy
Sophie Bontemps Belgium
Pietro Alessandro Brivio Italy
Ioannis Z. Gitas Greece
Min Feng relative to Leo Lymburner Australia Leo Lymburner's profile →
Citations per field
00.5×3.5×
Leo Lymburner · 1×
Citations per year

Countries citing papers authored by Min Feng

Since Specialization
Citations

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

Fields of papers citing papers by Min Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Min Feng. A scholar is included among the top collaborators of Min Feng 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 Min Feng. Min Feng 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 2
4 1
5 0
6 0
7 0
8 1
9 0
10 5
11 1
12 23
13 29
14 16
15 30
16
Identifying rock glacier in western China using deep learning and satellite data
2
17 1
18
Forest cover of North America in the 1970s mapped using Landsat MSS data
1
19 10
20 17

About Min Feng

Min Feng is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering, having authored 95 papers that have together received 3.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (28 papers), Land Use and Ecosystem Services (22 papers) and Cryospheric studies and observations (18 papers). The work is most often cited by research in Global and Planetary Change (2.1k citations), Environmental Engineering (1.1k citations) and Ecology (1.7k citations). Min Feng has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Saurabh Channan, Joe Sexton, John Townshend, Chengquan Huang, Praveen Noojipady, Xiao‐Peng Song, Anupam Anand, Do‐Hyung Kim, Hao Jiang and Xin Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

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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