Jaemyung Shin

942 total citations · 1 hit paper
23 papers, 654 citations indexed

About

Jaemyung Shin is a scholar working on Plant Science, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Jaemyung Shin has authored 23 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Biomedical Engineering and 3 papers in Cell Biology. Recurrent topics in Jaemyung Shin's work include 3D Printing in Biomedical Research (5 papers), Powdery Mildew Fungal Diseases (4 papers) and Smart Agriculture and AI (4 papers). Jaemyung Shin is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Powdery Mildew Fungal Diseases (4 papers) and Smart Agriculture and AI (4 papers). Jaemyung Shin collaborates with scholars based in Canada, South Korea and United States. Jaemyung Shin's co-authors include Young Chang, Md Sultan Mahmud, Tanzeel U. Rehman, Jian Jin, Brandon Heung, G.W. Price, Tri Nguyen-Quang, Ahmad Al-Mallahi, Keekyoung Kim and Jinguang Hu and has published in prestigious journals such as ACS Applied Materials & Interfaces, Biotechnology and Bioengineering and Neurocomputing.

In The Last Decade

Jaemyung Shin

21 papers receiving 627 citations

Hit Papers

Current and future applications of statistical machine le... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Jaemyung Shin
Comparison fields: 5 of 117
  • Plant Science 383
  • Analytical Chemistry 145
  • Biomedical Engineering 124
  • Ecology 109
  • Automotive Engineering 50
Replace Philipe Dias with:
Philipe Dias United States
Chen Liu China
Tanuja Sheorey India
Guillermo P. Moreda Cantero Spain
Rongbiao Zhang China
Dani Martínez Spain
Björn Åstrand Sweden
Rajesh Kumar Kaushal India
Yuandong Sun China
Chi N. Thai United States
Philipe Dias United States View profile →
Citations per field, relative to Jaemyung Shin
Jaemyung Shin · 1×
Citations per year, relative to Jaemyung Shin
Jaemyung Shin · 1×

Countries citing papers authored by Jaemyung Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jaemyung Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaemyung Shin. 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 Jaemyung Shin. The network helps show where Jaemyung Shin may publish in the future.

Co-authorship network of co-authors of Jaemyung Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jaemyung Shin. A scholar is included among the top collaborators of Jaemyung Shin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaemyung Shin. Jaemyung Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 16
5 1
6 3
7 23
8 3
9 34
10 59
11 6
12 127
13 5
14 41
15 3
16 1
17
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems breakdown →
294
18 18
19 5
20 4

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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