Liang Wan

1.8k citations
38 papers · 1.4k indexed · 1 hit paper · h-index 19
Topics
Remote Sensing in Agriculture (21 papers)Smart Agriculture and AI (8 papers)Leaf Properties and Growth Measurement (8 papers)
Journals
SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentEnvironmental Pollution

In The Last Decade

Liang Wan

37 papers receiving 1.3k citations

Hit Papers

Grain yield prediction of rice using multi-temporal UAV-b...2020202620222024202050100150200

Peers

Liang Wan
Comparison fields: 5 of 95
  • Ecology 799
  • Plant Science 721
  • Environmental Engineering 356
  • Analytical Chemistry 280
  • Global and Planetary Change 171
Replace Frank Liebisch with:
Frank Liebisch Switzerland
Rabi Narayan Sahoo India
Peter Lootens Belgium
Mohammadmehdi Saberioon Czechia
Manuel Pérez Ruiz Spain
Yeyin Shi United States
Hong Sun China
Haiyong Weng China
Fábio Henrique Rojo Baio Brazil
Liang Wan relative to Frank Liebisch Switzerland Frank Liebisch's profile →
Citations per field
00.5×1.5×
Frank Liebisch · 1×
Citations per year

Countries citing papers authored by Liang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Liang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Wan. A scholar is included among the top collaborators of Liang Wan 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 Liang Wan. Liang Wan 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 2
3 6
4 2
5 20
6 52
7 6
8 23
9 58
10 11
11 10
12 59
13 24
14 129
15 129
16 118
17 2
18 41
19 1
20
Effects of Nitrogen Application Regimes on Yield,Quality,and Nitrogen Use Efficiency of Super Japonica Hybrid Rice
6

About Liang Wan

Liang Wan is a scholar working on Horticulture, Ecology and Plant Science, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (21 papers), Smart Agriculture and AI (8 papers) and Leaf Properties and Growth Measurement (8 papers). The work is most often cited by research in Ecology (799 citations), Analytical Chemistry (280 citations) and Environmental Engineering (356 citations). Liang Wan has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Haiyan Cen, Yong He, Weijun Zhou, Jiangpeng Zhu, Haiyong Weng, Dawei Sun, Alwaseela Abdalla, Yijian Li, Jiafei Zhang and Yueming Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Environmental Pollution.

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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