Hak-Jin Kim
Impact in
- Bioengineering top 2%
- Analytical Chemistry and Sensors
-
- Water Quality Monitoring and Analysis
Papers in
-
- Smart Agriculture and AI 22
- Greenhouse Technology and Climate Control 15
-
- Soil Mechanics and Vehicle Dynamics 20
- Co-authors
- Dae-Hyun Jung (20 shared papers)Soo Hyun Park (7 shared papers)Dongwook Kim (9 shared papers)Woo-Jae Cho (16 shared papers)Hyoung Seok Kim (3 shared papers)Xiongzhe Han (13 shared papers)Kenneth A. Sudduth (4 shared papers)Jung Hun Kim (6 shared papers)
- Journals
- Computers and Electronics in Agriculture (11 papers)Sensors (8 papers)Agronomy (3 papers)Precision Agriculture (2 papers)Biosystems Engineering (2 papers)
- Partner nations
- South KoreaUnited StatesBrazil
In The Last Decade
Hak-Jin Kim
96 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Bioengineering 203
- Industrial and Manufacturing Engineering 166
- Plant Science 620
- Environmental Engineering 182
- Aquatic Science 73
Countries citing papers authored by Hak-Jin Kim
This map shows the geographic impact of Hak-Jin Kim'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 Hak-Jin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hak-Jin Kim more than expected).
Fields of papers citing papers by Hak-Jin Kim
This network shows the impact of papers produced by Hak-Jin Kim. 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 Hak-Jin Kim. The network helps show where Hak-Jin Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Hak-Jin Kim, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2018 | 88 | |
| 3 | 2020 | 79 | |
| 4 | 2013 | 72 | |
| 5 | 2018 | 67 | |
| 6 | 2021 | 66 | |
| 7 | 2007 | 59 | |
| 8 | 2021 | 43 | |
| 9 | 2022 | 38 | |
| 10 | 2018 | 37 | |
| 11 | 2018 | 33 | |
| 12 | 2017 | 32 | |
| 13 | 2017 | 27 | |
| 14 | 2015 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2013 | 23 | |
| 18 | 2016 | 22 | |
| 19 | 2019 | 19 | |
| 20 | 2021 | 18 |
About Hak-Jin Kim
Hak-Jin Kim is a scholar working on Plant Science, Civil and Structural Engineering, Bioengineering, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (24 papers), Smart Agriculture and AI (22 papers), Soil Mechanics and Vehicle Dynamics (20 papers), Water Quality Monitoring and Analysis (17 papers), Greenhouse Technology and Climate Control (15 papers), Electrochemical sensors and biosensors (15 papers), Agricultural Engineering and Mechanization (13 papers) and Remote Sensing in Agriculture (12 papers). The work is most often cited by research in Bioengineering (203 citations), Industrial and Manufacturing Engineering (166 citations), Plant Science (620 citations), Environmental Engineering (182 citations) and Aquatic Science (73 citations). Hak-Jin Kim has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Dae-Hyun Jung, Soo Hyun Park, Dongwook Kim, Woo-Jae Cho, Hyoung Seok Kim, Xiongzhe Han, Kenneth A. Sudduth, Jung Hun Kim, Chang‐Ho Yun and Won Suk Lee. Their work appears in journals such as Computers and Electronics in Agriculture, Sensors, Agronomy, Precision Agriculture and Biosystems Engineering.
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.