Sanggyu Chong

1.1k total citations
26 papers, 799 citations indexed

About

Sanggyu Chong is a scholar working on Materials Chemistry, Inorganic Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Sanggyu Chong has authored 26 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 10 papers in Inorganic Chemistry and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Sanggyu Chong's work include Metal-Organic Frameworks: Synthesis and Applications (10 papers), Machine Learning in Materials Science (8 papers) and Graphene research and applications (4 papers). Sanggyu Chong is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (10 papers), Machine Learning in Materials Science (8 papers) and Graphene research and applications (4 papers). Sanggyu Chong collaborates with scholars based in South Korea, Switzerland and United Kingdom. Sanggyu Chong's co-authors include Jihan Kim, Sangwon Lee, Baekjun Kim, Günther Thiele, Il‐Doo Kim, Dong‐Ha Kim, Ji‐Soo Jang, Chungseong Park, Jaewan Ahn and Sang Ouk Kim and has published in prestigious journals such as Advanced Materials, Nature Communications and Nano Letters.

In The Last Decade

Sanggyu Chong

26 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanggyu Chong South Korea 14 444 354 310 143 112 26 799
Ai‐Qian Wu China 7 373 0.8× 408 1.2× 449 1.4× 106 0.7× 93 0.8× 9 719
Jinglun Yang China 16 685 1.5× 274 0.8× 275 0.9× 176 1.2× 68 0.6× 41 926
Sumit Sachdeva Netherlands 12 287 0.6× 215 0.6× 237 0.8× 100 0.7× 52 0.5× 16 521
Aep Patah Indonesia 11 372 0.8× 176 0.5× 233 0.8× 116 0.8× 71 0.6× 34 657
Wenhao Yan China 19 297 0.7× 262 0.7× 172 0.6× 84 0.6× 55 0.5× 34 1.0k
Alex Palma‐Cando Ecuador 16 500 1.1× 401 1.1× 175 0.6× 103 0.7× 355 3.2× 28 905
Asep Sugih Nugraha Japan 14 467 1.1× 304 0.9× 109 0.4× 116 0.8× 89 0.8× 23 873
Zhongshang Dou China 10 605 1.4× 233 0.7× 662 2.1× 232 1.6× 92 0.8× 21 1.0k
Xiaozhou Huang United States 18 224 0.5× 516 1.5× 86 0.3× 181 1.3× 103 0.9× 57 998
Christoph Weidmann Germany 8 259 0.6× 182 0.5× 152 0.5× 79 0.6× 59 0.5× 13 492

Countries citing papers authored by Sanggyu Chong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sanggyu Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Sanggyu Chong. A scholar is included among the top collaborators of Sanggyu Chong 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 Sanggyu Chong. Sanggyu Chong 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.
Chong, Sanggyu, et al.. (2025). Adaptive energy reference for machine-learning models of the electronic density of states. Physical Review Materials. 9(1). 3 indexed citations
2.
Chong, Sanggyu, et al.. (2024). Prediction rigidities for data-driven chemistry. Faraday Discussions. 256(0). 322–344. 4 indexed citations
3.
Chong, Sanggyu, et al.. (2024). A prediction rigidity formalism for low-cost uncertainties in trained neural networks. Machine Learning Science and Technology. 5(4). 45018–45018. 3 indexed citations
4.
Chong, Sanggyu, et al.. (2023). Robustness of Local Predictions in Atomistic Machine Learning Models. Journal of Chemical Theory and Computation. 19(22). 8020–8031. 21 indexed citations
5.
Kim, Dong‐Ha, Jun‐Hwe Cha, Sanggyu Chong, et al.. (2023). Flash-Thermal Shock Synthesis of Single Atoms in Ambient Air. ACS Nano. 17(23). 23347–23358. 18 indexed citations
6.
Kim, Dong‐Ha, Sanggyu Chong, Chungseong Park, et al.. (2022). Oxide/ZIF‐8 Hybrid Nanofiber Yarns: Heightened Surface Activity for Exceptional Chemiresistive Sensing. Advanced Materials. 34(10). e2105869–e2105869. 86 indexed citations
7.
Kim, Dong‐Ha, Sanggyu Chong, Chungseong Park, et al.. (2022). Oxide/ZIF‐8 Hybrid Nanofiber Yarns: Heightened Surface Activity for Exceptional Chemiresistive Sensing (Adv. Mater. 10/2022). Advanced Materials. 34(10). 3 indexed citations
8.
Park, Chungseong, Won‐Tae Koo, Sanggyu Chong, et al.. (2021). Confinement of Ultrasmall Bimetallic Nanoparticles in Conductive Metal–Organic Frameworks via Site‐Specific Nucleation. Advanced Materials. 33(38). e2101216–e2101216. 43 indexed citations
9.
Chong, Sanggyu, Sven M. J. Rogge, & Jihan Kim. (2021). Tunable Electrical Conductivity of Flexible Metal–Organic Frameworks. Chemistry of Materials. 34(1). 254–265. 13 indexed citations
10.
Park, Chungseong, Won‐Tae Koo, Sanggyu Chong, et al.. (2021). Confinement of Ultrasmall Bimetallic Nanoparticles in Conductive Metal–Organic Frameworks via Site‐Specific Nucleation (Adv. Mater. 38/2021). Advanced Materials. 33(38). 5 indexed citations
11.
Chong, Sanggyu, et al.. (2021). Exploring Guest-Dependent Photoconductivity in a Donor-Containing Metal–Organic Framework. The Journal of Physical Chemistry C. 125(19). 10198–10206. 8 indexed citations
12.
Jang, Ji‐Soo, Hong Ju Jung, Sanggyu Chong, et al.. (2020). 2D Materials: 2D Materials Decorated with Ultrathin and Porous Graphene Oxide for High Stability and Selective Surface Activity (Adv. Mater. 36/2020). Advanced Materials. 32(36). 3 indexed citations
13.
Chong, Sanggyu, Sangwon Lee, Baekjun Kim, & Jihan Kim. (2020). Applications of machine learning in metal-organic frameworks. Coordination Chemistry Reviews. 423. 213487–213487. 165 indexed citations
14.
Jang, Ji‐Soo, Hong Ju Jung, Sanggyu Chong, et al.. (2020). 2D Materials Decorated with Ultrathin and Porous Graphene Oxide for High Stability and Selective Surface Activity. Advanced Materials. 32(36). e2002723–e2002723. 61 indexed citations
15.
Suh, Bong Lim, Sanggyu Chong, & Jihan Kim. (2019). Photochemically Induced Water Harvesting in Metal–Organic Framework. ACS Sustainable Chemistry & Engineering. 7(19). 15854–15859. 26 indexed citations
16.
Chong, Sanggyu, et al.. (2019). Thermal Stability of Methyl-Functionalized MOF-5. The Journal of Physical Chemistry C. 123(49). 29686–29692. 22 indexed citations
17.
Cho, Kyeong Min, Soo‐Yeon Cho, Sanggyu Chong, et al.. (2018). Edge-Functionalized Graphene Nanoribbon Chemical Sensor: Comparison with Carbon Nanotube and Graphene. ACS Applied Materials & Interfaces. 10(49). 42905–42914. 46 indexed citations
18.
Cho, Soo‐Yeon, Kyeong Min Cho, Sanggyu Chong, et al.. (2018). Rational Design of Aminopolymer for Selective Discrimination of Acidic Air Pollutants. ACS Sensors. 3(7). 1329–1337. 18 indexed citations
19.
Kim, Donguk, Han‐Hee Cho, Changyeon Lee, et al.. (2018). Shift of the Branching Point of the Side‐Chain in Naphthalenediimide (NDI)‐Based Polymer for Enhanced Electron Mobility and All‐Polymer Solar Cell Performance. Advanced Functional Materials. 28(39). 81 indexed citations
20.
Chong, Sanggyu, Günther Thiele, & Jihan Kim. (2017). Excavating hidden adsorption sites in metal-organic frameworks using rational defect engineering. Nature Communications. 8(1). 1539–1539. 85 indexed citations

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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