Geun Ho Gu
- Materials Chemistry top 5%
- Renewable Energy, Sustainability and the Environment top 2%
- Catalysis top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Co-authors
- Yousung JungJuhwan NohSungwon KimDionisios G. VlachosI. P. KimChanghyeok ChoiCharles A. MullenAkwasi A. Boateng
- Topics
- Machine Learning in Materials Science (24 papers)Electrocatalysts for Energy Conversion (15 papers)Fuel Cells and Related Materials (9 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced MaterialsAngewandte Chemie International Edition
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Geun Ho Gu
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 90
- Materials Chemistry 1.2k
- Renewable Energy, Sustainability and the Environment 722
- Catalysis 475
- Electrical and Electronic Engineering 411
- Biomedical Engineering 218
Countries citing papers authored by Geun Ho Gu
This map shows the geographic impact of Geun Ho Gu'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 Geun Ho Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geun Ho Gu more than expected).
Fields of papers citing papers by Geun Ho Gu
This network shows the impact of papers produced by Geun Ho Gu. 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 Geun Ho Gu. The network helps show where Geun Ho Gu may publish in the future.
Co-authorship network of co-authors of Geun Ho Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Geun Ho Gu. A scholar is included among the top collaborators of Geun Ho Gu 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 Geun Ho Gu. Geun Ho Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 40 | |
| 14 | 2 | |
| 15 | 139 | |
| 16 | 22 | |
| 17 | 15 | |
| 18 | 32 | |
| 19 | 20 | |
| 20 | 113 |
About Geun Ho Gu
Geun Ho Gu is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis and Process Chemistry and Technology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (24 papers), Electrocatalysts for Energy Conversion (15 papers) and Fuel Cells and Related Materials (9 papers). The work is most often cited by research in Catalysis (475 citations), Renewable Energy, Sustainability and the Environment (722 citations) and Materials Chemistry (1.2k citations). Geun Ho Gu has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Yousung Jung, Juhwan Noh, Sungwon Kim, Dionisios G. Vlachos, I. P. Kim, Changhyeok Choi, Charles A. Mullen, Akwasi A. Boateng, Alán Aspuru‐Guzik and Hyun S. Park. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.