Manchun Li

2.0k citations
21 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Remote-Sensing Image Classification (14 papers)Remote Sensing in Agriculture (9 papers)Remote Sensing and Land Use (6 papers)
Partner nations
ChinaAustria

In The Last Decade

Manchun Li

20 papers receiving 1.6k citations

Hit Papers

A review of supervised object-based land-cover image clas...20172026202020232017200400600

Peers

Manchun Li
Comparison fields: 5 of 115
  • Ecology 805
  • Media Technology 781
  • Global and Planetary Change 510
  • Atmospheric Science 439
  • Environmental Engineering 406
Replace Brandt Tso with:
Brandt Tso Taiwan
Mahdi Hasanlou Iran
Silvia Valero France
Quanlong Feng China
Ovidiu Csillik United States
Elif Sertel Türkiye
Isabel Sargent United Kingdom
Raffaele Gaetano France
U. Benz Germany
Dongping Ming China
Manchun Li relative to Brandt Tso Taiwan Brandt Tso's profile →
Citations per field
00.5×4.7×
Brandt Tso · 1×
Citations per year

Countries citing papers authored by Manchun Li

Since Specialization
Citations

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

Fields of papers citing papers by Manchun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manchun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Manchun Li. A scholar is included among the top collaborators of Manchun Li 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 Manchun Li. Manchun Li 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 5
4 60
5 33
6 18
7 62
8
A review of supervised object-based land-cover image classificationbreakdown →
690
9 180
10 81
11 158
12 33
13 30
14 43
15 3
16 5
17 2
18 3
19 9
20 1

About Manchun Li

Manchun Li is a scholar working on Media Technology, Space and Planetary Science and Ocean Engineering, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (14 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Media Technology (781 citations), Ecology (805 citations) and Environmental Engineering (406 citations). Manchun Li has collaborated with scholars based in China and Austria. Frequent co-authors include Lei Ma, Liang Cheng, Xiaoxue Ma, Yongxue Liu, Peijun Du, Dirk Tiede, Thomas Blaschke, Deliang Chen, Zhenjie Chen and Brian Alan Johnson. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Remote Sensing and Remote Sensing.

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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