Anjin Chang
Impact in
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications
- Ecology top 2%
- Remote Sensing in Agriculture
Papers in
- Ecology 45
- Remote Sensing in Agriculture 44
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- Remote Sensing and LiDAR Applications 43
- Co-authors
- Jinha Jung (46 shared papers)Murilo Maeda (20 shared papers)Juan Landivar (26 shared papers)Akash Ashapure (11 shared papers)Junho Yeom (18 shared papers)Mahendra Bhandari (4 shared papers)Sungchan Oh (7 shared papers)Lonesome Malambo (5 shared papers)
- Journals
- Remote Sensing (8 papers)Computers and Electronics in Agriculture (7 papers)Remote Sensing Letters (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)Sensors (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Anjin Chang
64 papers receiving 1.7k citations
Anjin Chang's Hit Papers
Peers
Comparison fields: 5 of 103
- Environmental Engineering 655
- Ecology 971
- Plant Science 980
- Geology 93
- Analytical Chemistry 134
Countries citing papers authored by Anjin Chang
This map shows the geographic impact of Anjin Chang'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 Anjin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjin Chang more than expected).
Fields of papers citing papers by Anjin Chang
This network shows the impact of papers produced by Anjin Chang. 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 Anjin Chang. The network helps show where Anjin Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Anjin Chang, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems Hit paper breakdown → | 2020 | 289 |
| 2 | 2017 | 151 | |
| 3 | 2020 | 100 | |
| 4 | 2019 | 79 | |
| 5 | 2018 | 74 | |
| 6 | 2019 | 70 | |
| 7 | 2020 | 65 | |
| 8 | 2018 | 63 | |
| 9 | 2020 | 62 | |
| 10 | 2018 | 60 | |
| 11 | 2019 | 59 | |
| 12 | 2019 | 46 | |
| 13 | 2018 | 43 | |
| 14 | 2020 | 38 | |
| 15 | 2019 | 38 | |
| 16 | 2012 | 35 | |
| 17 | 2020 | 34 | |
| 18 | 2022 | 33 | |
| 19 | 2021 | 32 | |
| 20 | 2021 | 29 |
About Anjin Chang
Anjin Chang is a scholar working on Ecology, Environmental Engineering, Plant Science, Geology and Media Technology, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (44 papers), Remote Sensing and LiDAR Applications (43 papers), Smart Agriculture and AI (19 papers), 3D Surveying and Cultural Heritage (11 papers), Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (7 papers), Land Use and Ecosystem Services (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Environmental Engineering (655 citations), Ecology (971 citations), Plant Science (980 citations), Geology (93 citations) and Analytical Chemistry (134 citations). Anjin Chang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jinha Jung, Murilo Maeda, Juan Landivar, Akash Ashapure, Junho Yeom, Mahendra Bhandari, Sungchan Oh, Lonesome Malambo, Yongil Kim and Sorin Popescu. Their work appears in journals such as Remote Sensing, Computers and Electronics in Agriculture, Remote Sensing Letters, ISPRS Journal of Photogrammetry and Remote Sensing and Sensors.
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.