Da-Young Lee

531 citations
28 papers · 409 · h-index 8

Impact in

Papers in

    • Plant-Microbe Interactions and Immunity 2
    • Plant Disease Management Techniques 2
    • Wheat and Barley Genetics and Pathology 2
    • Smart Agriculture and AI 2
    • Plant Pathogens and Fungal Diseases 8

Da-Young Lee

22 papers receiving 405 citations

Peers

Da-Young Lee
Comparison fields: 5 of 71
  • Industrial and Manufacturing Engineering 144
  • Pollution 191
  • Analytical Chemistry 33
  • Plant Science 123
  • Biomaterials 39
Replace Mariangela Mencarelli with:
Mariangela Mencarelli Italy
Hongyan Wang China
Fengxia Sun China
Huanhuan Shao China
Stefanie Bernardette Costa‐Gutierrez Argentina
Jiumoni Lahkar India
Marcello Civilini Italy
Jun Zeng China
Simonetta Muccifora Italy
Xianpeng Song China
Da-Young Lee relative to Mariangela Mencarelli Italy Mariangela Mencarelli's profile →
Citations per field
00.5×3.2×
Mariangela Mencarelli · 1×
Citations per year

Countries citing papers authored by Da-Young Lee

Since Specialization
Citations

This map shows the geographic impact of Da-Young Lee'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 Da-Young Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Young Lee more than expected).

Fields of papers citing papers by Da-Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da-Young Lee. 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 Da-Young Lee. The network helps show where Da-Young Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Da-Young Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da-Young Lee Line = papers co-authored together Da-Young Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021209
2 202054
3 201035
4 201934
5 202120
6 202113
7 202311
8 20217
9 20165
10 20244
11 20183
12 20213
13 20232
14 20171
15 20241
16 20221
17 20141
18 20201
19 20201
20 20161

About Da-Young Lee

Da-Young Lee is a scholar working on Plant Science, Cell Biology, Ecology, Molecular Biology and Environmental Engineering, having authored 28 papers that have together received 409 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (8 papers), Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (3 papers), Recycling and Waste Management Techniques (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Disease Management Techniques (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (144 citations), Pollution (191 citations), Analytical Chemistry (33 citations), Plant Science (123 citations) and Biomaterials (39 citations). Da-Young Lee has collaborated with scholars based in South Korea, United States and Mexico. Frequent co-authors include Myung‐Han Yoon, Md. Ibrahim H. Mondal, Mohammad Boshir Ahmed, Md. Saifur Rahman, Jae-Il Park, Md. Saif Hasan, Md Abu Hasan Johir, John L. Zhou, Guo‐Liang Wang and Anna O. Conrad. Their work appears in journals such as Frontiers in Plant Science, Plant Disease, Environmental Science and Pollution Research, RSC Advances and Structural Equation Modeling A Multidisciplinary Journal.

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.

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