Hao Yang
- Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 39
- Ecology top 0.5%
- Remote Sensing in Agriculture 86
- Plant Science top 1%
- Smart Agriculture and AI 27
- Leaf Properties and Growth Measurement 26
- Horticultural and Viticultural Research 10
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses 19
- Agronomy and Crop Science top 2%
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- Remote Sensing and Land Use 23
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- Land Use and Ecosystem Services 16
Hao Yang
165 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Environmental Engineering 1.4k
- Ecology 2.3k
- Plant Science 2.1k
- Analytical Chemistry 489
- Agronomy and Crop Science 325
Countries citing papers authored by Hao Yang
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 19 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 9 | |
| 18 | 2020 | 3 | |
| 19 | Preparation of Complex Microbial Agent for Pig Manure and Straw Compost and Application Effect | 2013 | 1 |
| 20 | Resistances of four sets of rice varieties to 19 strains of Magnaporthe griseas in Jiangsu area. | 2010 | 1 |
About Hao Yang
Hao Yang is a scholar working on Environmental Engineering, Ecology, Plant Science, Analytical Chemistry and Atmospheric Science, having authored 176 papers that have together received 4.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (86 papers), Remote Sensing and LiDAR Applications (39 papers), Smart Agriculture and AI (27 papers), Leaf Properties and Growth Measurement (26 papers), Remote Sensing and Land Use (23 papers), Spectroscopy and Chemometric Analyses (19 papers), Land Use and Ecosystem Services (16 papers) and Horticultural and Viticultural Research (10 papers). The work is most often cited by research in Environmental Engineering (1.4k citations), Ecology (2.3k citations), Plant Science (2.1k citations), Analytical Chemistry (489 citations) and Agronomy and Crop Science (325 citations). Hao Yang has collaborated with scholars based in China, United Kingdom and United States. 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.