Sanggyu Chong
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications 10
- Bioengineering top 5%
- Analytical Chemistry and Sensors 3
- Materials Chemistry top 10%
- Machine Learning in Materials Science 8
- Graphene research and applications 4
- MXene and MAX Phase Materials 3
- Polymers and Plastics top 10%
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- Gas Sensing Nanomaterials and Sensors 4
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- Protein Structure and Dynamics 2
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- Computational Drug Discovery Methods 2
Sanggyu Chong
26 papers receiving 784 citations
Peers
Comparison fields: 5 of 60
- Inorganic Chemistry 310
- Bioengineering 76
- Materials Chemistry 444
- Polymers and Plastics 112
- Electrical and Electronic Engineering 354
Countries citing papers authored by Sanggyu Chong
This map shows the geographic impact of Sanggyu Chong'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 Sanggyu Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanggyu Chong more than expected).
Fields of papers citing papers by Sanggyu Chong
This network shows the impact of papers produced by Sanggyu Chong. 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 Sanggyu Chong. The network helps show where Sanggyu Chong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanggyu Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 86 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 43 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 165 | |
| 14 | 2020 | 61 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 26 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 46 | |
| 19 | 2018 | 81 | |
| 20 | 2017 | 85 |
About Sanggyu Chong
Sanggyu Chong is a scholar working on Inorganic Chemistry, Bioengineering, Materials Chemistry, Process Chemistry and Technology and Electrochemistry, having authored 26 papers that have together received 799 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (10 papers), Machine Learning in Materials Science (8 papers), Graphene research and applications (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers), MXene and MAX Phase Materials (3 papers), Analytical Chemistry and Sensors (3 papers), Protein Structure and Dynamics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Inorganic Chemistry (310 citations), Bioengineering (76 citations), Materials Chemistry (444 citations), Polymers and Plastics (112 citations) and Electrical and Electronic Engineering (354 citations). Sanggyu Chong has collaborated with scholars based in South Korea, Switzerland and United Kingdom. Frequent co-authors include Jihan Kim, Baekjun Kim, Sangwon Lee, Günther Thiele, Il‐Doo Kim, Dong‐Ha Kim, Ji‐Soo Jang, Chungseong Park, Jaewan Ahn and Bong Lim Suh. Their work appears in journals such as Advanced Materials, The Journal of Physical Chemistry C, ACS Sensors, Chemistry of Materials and Dalton Transactions.
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.