Insuck Baek

2.1k total citations · 1 hit paper
104 papers, 1.4k citations indexed

About

Insuck Baek is a scholar working on Analytical Chemistry, Plant Science and Biophysics. According to data from OpenAlex, Insuck Baek has authored 104 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Analytical Chemistry, 37 papers in Plant Science and 21 papers in Biophysics. Recurrent topics in Insuck Baek's work include Spectroscopy and Chemometric Analyses (59 papers), Spectroscopy Techniques in Biomedical and Chemical Research (20 papers) and Identification and Quantification in Food (16 papers). Insuck Baek is often cited by papers focused on Spectroscopy and Chemometric Analyses (59 papers), Spectroscopy Techniques in Biomedical and Chemical Research (20 papers) and Identification and Quantification in Food (16 papers). Insuck Baek collaborates with scholars based in United States, South Korea and Indonesia. Insuck Baek's co-authors include Byoung–Kwan Cho, Moon S. Kim, Moon S. Kim, Changyeun Mo, Jianwei Qin, Mohammad Akbar Faqeerzada, Diane E. Chan, Hoonsoo Lee, Rahul Joshi and Geonwoo Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Insuck Baek

97 papers receiving 1.4k citations

Hit Papers

Remote Sensing in Field Crop Monitoring: A Comprehensive ... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances
    2023 125 citations Hyungjin Bae, Eunsung Park et al. Remote Sensing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Insuck Baek United States 21 808 535 296 250 216 104 1.4k
Ye Sun China 25 946 1.2× 655 1.2× 408 1.4× 208 0.8× 159 0.7× 67 1.7k
Wen‐Hao Su China 29 1.1k 1.3× 993 1.9× 477 1.6× 326 1.3× 252 1.2× 86 2.1k
Susu Zhu China 18 940 1.2× 556 1.0× 301 1.0× 169 0.7× 302 1.4× 26 1.3k
Jingzhu Wu China 16 689 0.9× 740 1.4× 299 1.0× 140 0.6× 167 0.8× 40 1.6k
Wenwen Kong China 21 918 1.1× 514 1.0× 254 0.9× 158 0.6× 196 0.9× 59 1.4k
Changyeun Mo South Korea 26 1.3k 1.6× 674 1.3× 604 2.0× 508 2.0× 378 1.8× 99 2.1k
C. B. Singh Canada 26 967 1.2× 915 1.7× 413 1.4× 247 1.0× 308 1.4× 105 2.1k
Daniel E. Guyer United States 26 1.2k 1.4× 1.1k 2.0× 390 1.3× 181 0.7× 191 0.9× 63 2.0k
Belén Diezma Iglesias Spain 16 717 0.9× 533 1.0× 304 1.0× 94 0.4× 139 0.6× 81 1.2k
Haibo Yao United States 22 636 0.8× 698 1.3× 215 0.7× 143 0.6× 236 1.1× 93 1.3k

Countries citing papers authored by Insuck Baek

Since Specialization
Citations

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

Fields of papers citing papers by Insuck Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Insuck Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Insuck Baek. A scholar is included among the top collaborators of Insuck Baek 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 Insuck Baek. Insuck Baek 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
1.
Park, Min‐Seok, Mohammad Akbar Faqeerzada, Hoonsoo Lee, et al.. (2025). Detection of Abiotic Stress in Potato and Sweet Potato Plants Using Hyperspectral Imaging and Machine Learning. Plants. 14(19). 3049–3049. 1 indexed citations
2.
Masithoh, Rudiati Evi, et al.. (2025). Non-destructive identification of microplastics in soil using spectroscopy and hyperspectral imaging. TrAC Trends in Analytical Chemistry. 187. 118216–118216. 3 indexed citations
3.
4.
5.
Faqeerzada, Mohammad Akbar, et al.. (2024). Deep learning application for real-time gravity-assisted seed conveying system for watermelon seeds purity sorting. Computers and Electronics in Agriculture. 221. 108974–108974. 3 indexed citations
6.
Kim, Hye‐Mi, et al.. (2024). Impact of atomic layer deposition supercycle design on the reliability of heterogenous IGZO channel TFTs. Ceramics International. 51(2). 1793–1800.
7.
Faqeerzada, Mohammad Akbar, et al.. (2024). Hyperspectral imaging system for pre- and post-harvest defect detection in paprika fruit. Postharvest Biology and Technology. 218. 113151–113151. 10 indexed citations
8.
Kim, Juntae, Mohammad Akbar Faqeerzada, Hanim Zuhrotul Amanah, et al.. (2024). Rapid and noncontact identification of soybean flour in edible insect using NIR spectral imager: A case study in Protaetia brevitarsis seulensis powder. Food Control. 169. 111019–111019. 2 indexed citations
9.
Bhattacharya, Tanima, et al.. (2023). Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review. Frontiers in Plant Science. 14. 1240361–1240361. 19 indexed citations
10.
Akhbardeh, Alireza, Nicholas MacKinnon, Gregory H. Bearman, et al.. (2023). A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy. Sensors. 23(22). 9062–9062. 6 indexed citations
11.
Kim, Juntae, Mohammad Akbar Faqeerzada, Geonwoo Kim, et al.. (2023). Proximate Content Monitoring of Black Soldier Fly Larval (Hermetia illucens) Dry Matter for Feed Material using Short-Wave Infrared Hyperspectral Imaging. Food Science of Animal Resources. 43(6). 1150–1169. 12 indexed citations
12.
Gorji, Hamed Taheri, Jianwei Qin, Diane E. Chan, et al.. (2023). Federated Learning for Clients’ Data Privacy Assurance in Food Service Industry. Applied Sciences. 13(16). 9330–9330. 4 indexed citations
13.
Bae, Hyungjin, Eunsung Park, Moon S. Kim, et al.. (2023). Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances. Remote Sensing. 15(2). 354–354. 125 indexed citations breakdown →
14.
Kim, Geonwoo, Rahul Joshi, Moon S. Kim, et al.. (2022). Non-destructive identification of fake eggs using fluorescence spectral analysis and hyperspectral imaging. Korean Journal of Agricultural Science. 49(3). 495–510. 2 indexed citations
15.
Faqeerzada, Mohammad Akbar, et al.. (2022). Identification of Early Heat and Water Stress in Strawberry Plants Using Chlorophyll-Fluorescence Indices Extracted via Hyperspectral Images. Sensors. 22(22). 8706–8706. 16 indexed citations
16.
Park, Eunsoo, Mohammad Akbar Faqeerzada, Yun‐Soo Kim, et al.. (2022). Analysis of RGB Plant Images to Identify Root Rot Disease in Korean Ginseng Plants Using Deep Learning. Applied Sciences. 12(5). 2489–2489. 17 indexed citations
17.
Tavakolian, Kouhyar, Alireza Akhbardeh, Nicholas MacKinnon, et al.. (2021). Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced?. Applied Sciences. 11(22). 10628–10628. 7 indexed citations
18.
Baek, Insuck, Byoung–Kwan Cho, Changyeun Mo, et al.. (2019). Selection of Optimal Hyperspectral Wavebands for Detection of Discolored, Diseased Rice Seeds. Applied Sciences. 9(5). 1027–1027. 37 indexed citations
19.
Baek, Insuck, Byoung–Kwan Cho, S. Andrew Gadsden, et al.. (2019). A novel hyperspectral line-scan imaging method for whole surfaces of round shaped agricultural products. Biosystems Engineering. 188. 57–66. 20 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ye Sun Breakdown of academic impact, for papers by Wen‐Hao Su Breakdown of academic impact, for papers by Susu Zhu Breakdown of academic impact, for papers by Jingzhu Wu Breakdown of academic impact, for papers by Wenwen Kong Breakdown of academic impact, for papers by Changyeun Mo Breakdown of academic impact, for papers by C. B. Singh Breakdown of academic impact, for papers by Daniel E. Guyer Breakdown of academic impact, for papers by Belén Diezma Iglesias Breakdown of academic impact, for papers by Haibo Yao
Rankless by CCL
2026