Changyeun Mo

2.7k citations
99 papers · 2.1k indexed · h-index 26

Impact in

Papers in

Changyeun Mo

97 papers receiving 2.0k citations

Peers

Changyeun Mo
Comparison fields: 5 of 126
  • Analytical Chemistry 1.3k
  • Biophysics 378
  • Biochemistry 122
  • Food Science 349
  • Industrial and Manufacturing Engineering 163
Replace Hoonsoo Lee with:
Hoonsoo Lee South Korea
Santosh Lohumi South Korea
Diane E. Chan United States
Alessandro Ulrici Italy
Xiaping Fu China
Wen‐Hao Su China
Yidan Bao China
Ye Sun China
Huirong Xu China
Hong-Ju He China
Changyeun Mo relative to Hoonsoo Lee South Korea Hoonsoo Lee's profile →
Citations per field
00.5×1.5×2.3×
Hoonsoo Lee · 1×
Citations per year

Countries citing papers authored by Changyeun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Changyeun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Changyeun Mo, 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 Changyeun Mo Line = papers co-authored together Changyeun Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20242
3 20241
4 20236
5 202314
6 20222
7 20217
8 202014
9 20191
10 201937
11 201920
12 201914
13 201951
14
Quantitative analysis of Sudan dye adulteration in paprika powder using FTIR spectroscopy Part A Chemistry, analysis, control, exposure & risk assessment
20171
15 201721
16 201720
17 20177
18 20170
19 20177
20 20118

About Changyeun Mo

Changyeun Mo is a scholar working on Analytical Chemistry, Biophysics, Biotechnology, Industrial and Manufacturing Engineering and Plant Science, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (63 papers), Identification and Quantification in Food (20 papers), Spectroscopy Techniques in Biomedical and Chemical Research (18 papers), Advanced Chemical Sensor Technologies (17 papers), GABA and Rice Research (15 papers), Smart Agriculture and AI (10 papers), Listeria monocytogenes in Food Safety (9 papers) and Water Quality Monitoring and Analysis (9 papers). The work is most often cited by research in Analytical Chemistry (1.3k citations), Biophysics (378 citations), Biochemistry (122 citations), Food Science (349 citations) and Industrial and Manufacturing Engineering (163 citations). Changyeun Mo has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Byoung–Kwan Cho, Jongguk Lim, Moon S. Kim, Gi‐Young Kim, Hoonsoo Lee, Santosh Lohumi, Moon S. Kim, Lalit Mohan Kandpal, Insuck Baek and Wang‐Hee Lee. Their work appears in journals such as Sensors, Applied Sciences, Biosystems Engineering, Postharvest Biology and Technology and Journal of 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.

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