Jiwan Han
Impact in
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications
- Ecology top 5%
- Remote Sensing in Agriculture
Papers in
-
- Smart Agriculture and AI 5
- Co-authors
- Toby P. Breckon (4 shared papers)Chunsong Bian (2 shared papers)Liping Jin (2 shared papers)Guangcun Li (1 shared paper)Bo Li (1 shared paper)Li Zhang (1 shared paper)John H. Doonan (10 shared papers)Fiona Corke (8 shared papers)
- Journals
- Plant Methods (4 papers)Frontiers in Plant Science (3 papers)Physiologia Plantarum (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaUnited KingdomSwitzerland
In The Last Decade
Jiwan Han
43 papers receiving 1.1k citations
Jiwan Han's Hit Papers
Peers
Comparison fields: 5 of 101
- Environmental Engineering 263
- Ecology 429
- Plant Science 552
- Analytical Chemistry 135
- Computer Vision and Pattern Recognition 194
Countries citing papers authored by Jiwan Han
This map shows the geographic impact of Jiwan Han'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 Jiwan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwan Han more than expected).
Fields of papers citing papers by Jiwan Han
This network shows the impact of papers produced by Jiwan Han. 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 Jiwan Han. The network helps show where Jiwan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiwan Han, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging Hit paper breakdown → | 2020 | 370 |
| 2 | 2011 | 166 | |
| 3 | 2019 | 112 | |
| 4 | 2018 | 47 | |
| 5 | 2018 | 37 | |
| 6 | 2016 | 33 | |
| 7 | 2020 | 31 | |
| 8 | 2021 | 29 | |
| 9 | 2022 | 27 | |
| 10 | 2014 | 25 | |
| 11 | 2014 | 24 | |
| 12 | 2012 | 23 | |
| 13 | 2018 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2013 | 18 | |
| 16 | 2020 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2013 | 13 |
About Jiwan Han
Jiwan Han is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Genetics, Environmental Engineering and Ecology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Remote Sensing and LiDAR Applications (5 papers), Smart Agriculture and AI (5 papers), Remote Sensing in Agriculture (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Genetic and phenotypic traits in livestock (3 papers), Infrared Target Detection Methodologies (3 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Environmental Engineering (263 citations), Ecology (429 citations), Plant Science (552 citations), Analytical Chemistry (135 citations) and Computer Vision and Pattern Recognition (194 citations). Jiwan Han has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Toby P. Breckon, Chunsong Bian, Liping Jin, Guangcun Li, Bo Li, Li Zhang, John H. Doonan, Fiona Corke, Luis A. J. Mur and Jiangang Liu. Their work appears in journals such as Plant Methods, Frontiers in Plant Science, Physiologia Plantarum, ISPRS Journal of Photogrammetry and Remote Sensing and Agronomy.
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.