Yuting Gu
Impact in
- Water Science and Technology top 10%
- Advanced oxidation water treatment
-
- Wastewater Treatment and Nitrogen Removal
Papers in
-
- Aerosol Filtration and Electrostatic Precipitation 3
- Co-authors
- Greg Turk (5 shared papers)C. Karen Liu (3 shared papers)Jie Tan (2 shared papers)Enze Tian (3 shared papers)Jinhan Mo (3 shared papers)Lai Lyu (4 shared papers)Ningyuan Fang (1 shared paper)Tingting Gao (2 shared papers)
- Journals
- PLoS ONE (2 papers)Separation and Purification Technology (2 papers)ACM Transactions on Graphics (2 papers)Frontiers in Public Health (2 papers)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuting Gu
35 papers receiving 751 citations
Peers
Comparison fields: 5 of 127
- Water Science and Technology 89
- Pollution 63
- Industrial and Manufacturing Engineering 38
- Renewable Energy, Sustainability and the Environment 70
- Computer Vision and Pattern Recognition 82
Countries citing papers authored by Yuting Gu
This map shows the geographic impact of Yuting 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 Yuting Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Gu more than expected).
Fields of papers citing papers by Yuting Gu
This network shows the impact of papers produced by Yuting 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 Yuting Gu. The network helps show where Yuting Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2016 | 55 | |
| 3 | 2014 | 52 | |
| 4 | 2012 | 45 | |
| 5 | 2021 | 44 | |
| 6 | 2021 | 39 | |
| 7 | 2018 | 38 | |
| 8 | 2011 | 35 | |
| 9 | 2020 | 35 | |
| 10 | 2011 | 35 | |
| 11 | 2020 | 29 | |
| 12 | 2015 | 29 | |
| 13 | 2014 | 28 | |
| 14 | 2022 | 25 | |
| 15 | 2019 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2019 | 19 | |
| 19 | 2024 | 14 | |
| 20 | 2023 | 13 |
About Yuting Gu
Yuting Gu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Epidemiology, Biomedical Engineering and Control and Systems Engineering, having authored 37 papers that have together received 769 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (3 papers), Human Motion and Animation (3 papers), Advanced oxidation water treatment (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Human Pose and Action Recognition (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Mesenchymal stem cell research (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Water Science and Technology (89 citations), Pollution (63 citations), Industrial and Manufacturing Engineering (38 citations), Renewable Energy, Sustainability and the Environment (70 citations) and Computer Vision and Pattern Recognition (82 citations). Yuting Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Greg Turk, C. Karen Liu, Jie Tan, Enze Tian, Jinhan Mo, Jie Tan, Lai Lyu, Ningyuan Fang, Tingting Gao and Min Jin. Their work appears in journals such as PLoS ONE, Separation and Purification Technology, ACM Transactions on Graphics, Frontiers in Public Health and Stem Cell Research & Therapy.
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.