Haiyan Cen

5.9k citations
120 papers · 4.5k indexed · 2 hit papers · h-index 37

Impact in

Papers in

Haiyan Cen

112 papers receiving 4.4k citations

Hit Papers

Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China 2020 · 225 citations
2252006202620122019250500750

Peers

Haiyan Cen
Comparison fields: 5 of 132
  • Analytical Chemistry 2.4k
  • Biophysics 537
  • Industrial and Manufacturing Engineering 547
  • Plant Science 2.2k
  • Ecology 1.2k
Replace Moon S. Kim with:
Moon S. Kim United States
J. Blasco Spain
Jean‐Michel Roger France
Nuria Aleixos Spain
Manuela Zude-Sasse Germany
Puneet Mishra Netherlands
Sergio Cubero Spain
S.J. Lister United Kingdom
Byoung–Kwan Cho South Korea
Pierre Dardenne Belgium
Haiyan Cen relative to Moon S. Kim United States Moon S. Kim's profile →
Citations per field
00.5×2.6×
Moon S. Kim · 1×
Citations per year

Countries citing papers authored by Haiyan Cen

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20255
4 20243
5 20240
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7 20244
8 202411
9 20239
10 202310
11 202310
12 202320
13 20237
14 202320
15 20230
16 20223
17 202011
18 202010
19 201781
20 20081

About Haiyan Cen

Haiyan Cen is a scholar working on Analytical Chemistry, Horticulture, Industrial and Manufacturing Engineering, Plant Science and Ecology, having authored 120 papers that have together received 4.5k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (58 papers), Remote Sensing in Agriculture (45 papers), Smart Agriculture and AI (31 papers), Water Quality Monitoring and Analysis (18 papers), Leaf Properties and Growth Measurement (16 papers), Remote Sensing and LiDAR Applications (14 papers), Horticultural and Viticultural Research (9 papers) and Advanced Chemical Sensor Technologies (8 papers). The work is most often cited by research in Analytical Chemistry (2.4k citations), Biophysics (537 citations), Industrial and Manufacturing Engineering (547 citations), Plant Science (2.2k citations) and Ecology (1.2k citations). Haiyan Cen has collaborated with scholars based in China, United States and Sudan. Frequent co-authors include Yong He, Renfu Lu, Fernando Mendoza, Liang Wan, Dawei Sun, Haiyong Weng, Diwan P. Ariana, Alwaseela Abdalla, Weijun Zhou and Qibing Zhu. Their work appears in journals such as Computers and Electronics in Agriculture, Plant Phenomics, Postharvest Biology and Technology, Transactions of the ASABE 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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