Hao Gan
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- Date Palm Research Studies
- Leaf Properties and Growth Measurement
Papers in
-
- Smart Agriculture and AI 11
-
- Animal Nutrition and Physiology 12
- Livestock and Poultry Management 4
- Co-authors
- Won Suk Lee (12 shared papers)V. Alchanatis (4 shared papers)Yang Zhao (12 shared papers)Yang Chen (2 shared papers)Amin Nasiri (6 shared papers)Natália A. Peres (2 shared papers)Yong He (1 shared paper)Yanchao Zhang (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (5 papers)Animals (4 papers)Biosystems Engineering (4 papers)Precision Agriculture (2 papers)Biomass and Bioenergy (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Hao Gan
39 papers receiving 953 citations
Peers
Comparison fields: 5 of 101
- Analytical Chemistry 211
- Plant Science 597
- Small Animals 79
- Animal Science and Zoology 96
- Ecology 160
Countries citing papers authored by Hao Gan
This map shows the geographic impact of Hao Gan'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 Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Gan more than expected).
Fields of papers citing papers by Hao Gan
This network shows the impact of papers produced by Hao Gan. 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 Gan. The network helps show where Hao Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 190 | |
| 2 | 2018 | 121 | |
| 3 | 2018 | 105 | |
| 4 | 2018 | 75 | |
| 5 | 2022 | 72 | |
| 6 | 1993 | 59 | |
| 7 | 2018 | 53 | |
| 8 | 2020 | 50 | |
| 9 | 2018 | 28 | |
| 10 | 2018 | 28 | |
| 11 | 2024 | 18 | |
| 12 | 2015 | 18 | |
| 13 | 1995 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2024 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2022 | 10 |
About Hao Gan
Hao Gan is a scholar working on Plant Science, Animal Science and Zoology, Small Animals, Biomedical Engineering and Analytical Chemistry, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (12 papers), Animal Behavior and Welfare Studies (11 papers), Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (6 papers), Livestock and Poultry Management (4 papers), UAV Applications and Optimization (3 papers), Remote Sensing in Agriculture (3 papers) and Bioenergy crop production and management (3 papers). The work is most often cited by research in Analytical Chemistry (211 citations), Plant Science (597 citations), Small Animals (79 citations), Animal Science and Zoology (96 citations) and Ecology (160 citations). Hao Gan has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Won Suk Lee, V. Alchanatis, Yang Zhao, Yang Chen, Amin Nasiri, Natália A. Peres, Yong He, Yanchao Zhang, Clyde W. Fraisse and Kezhu Tan. Their work appears in journals such as Computers and Electronics in Agriculture, Animals, Biosystems Engineering, Precision Agriculture and Biomass and Bioenergy.
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.