Hao Yang

166 papers receiving 4.3k citations

Hao Yang's Hit Papers

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data 2019 · 333 citations
3330+3+6Years since publication100200300400500

Peers

Hao Yang
Comparison fields: 5 of 135
  • Environmental Engineering 1.4k
  • Ecology 2.4k
  • Plant Science 2.1k
  • Analytical Chemistry 497
  • Agronomy and Crop Science 335
Replace Xiuliang Jin with:
Xiuliang Jin China
Qiang Cao China
Kang Yu Germany
Yanbo Huang United States
Raffaele Casa Italy
Zhenhai Li China
Chunjiang Zhao China
Jiangui Liu Canada
Mirco Boschetti Italy
Jibo Yue China
Hao Yang relative to Xiuliang Jin China Xiuliang Jin's profile →
Citations per field
00.5×1.6×
Xiuliang Jin · 1×
Citations per year

Countries citing papers authored by Hao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Hit paper breakdown →
2017568
2
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Hit paper breakdown →
2019333
3 2015139
4 2017139
5 2015113
6 2020105
7 2019102
8 201896
9 201487
10 201785
11 202083
12 201873
13 202372
14 202271
15 202264
16 202264
17 201860
18 201759
19 202458
20 202157

About Hao Yang

Hao Yang is a scholar working on Ecology, Plant Science, Environmental Engineering, Global and Planetary Change and Atmospheric Science, having authored 182 papers that have together received 4.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (89 papers), Remote Sensing and LiDAR Applications (40 papers), Leaf Properties and Growth Measurement (27 papers), Smart Agriculture and AI (25 papers), Remote Sensing and Land Use (24 papers), Spectroscopy and Chemometric Analyses (21 papers), Land Use and Ecosystem Services (17 papers) and Soil Moisture and Remote Sensing (10 papers). The work is most often cited by research in Environmental Engineering (1.4k citations), Ecology (2.4k citations), Plant Science (2.1k citations), Analytical Chemistry (497 citations) and Agronomy and Crop Science (335 citations). Hao Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guijun Yang, Zhenhai Li, Haikuan Feng, Bo Xu, Xiaodong Yang, Chunjiang Zhao, Liang Han, Zhenhong Li, Xingang Xu and Raffaele Casa. Their work appears in journals such as Remote Sensing, Computers and Electronics in Agriculture, International Journal of Applied Earth Observation and Geoinformation, International journal of agricultural and biological engineering and Frontiers in Plant Science.

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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