Yuting Zhang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Atmospheric Science top 10%
- Health, Toxicology and Mutagenesis top 10%
- Global and Planetary Change
- Topics
- Atmospheric chemistry and aerosols (15 papers)Air Quality and Health Impacts (9 papers)Atmospheric aerosols and clouds (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentWater Research
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuting Zhang
62 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 649
- Artificial Intelligence 273
- Atmospheric Science 121
- Health, Toxicology and Mutagenesis 89
- Global and Planetary Change 87
Countries citing papers authored by Yuting Zhang
This map shows the geographic impact of Yuting Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Zhang more than expected).
Fields of papers citing papers by Yuting Zhang
This network shows the impact of papers produced by Yuting Zhang. 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 Zhang. The network helps show where Yuting Zhang may publish in the future.
Co-authorship network of co-authors of Yuting Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Zhang. A scholar is included among the top collaborators of Yuting Zhang 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 Yuting Zhang. Yuting Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 28 | |
| 16 | 111 | |
| 17 | 30 | |
| 18 | 1 | |
| 19 | Deep visual analogy-making | 71 |
| 20 | Learning to Disentangle Factors of Variation with Manifold Interaction | 86 |
About Yuting Zhang
Yuting Zhang is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Health, Toxicology and Mutagenesis, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (9 papers) and Atmospheric aerosols and clouds (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (649 citations), Artificial Intelligence (273 citations) and Media Technology (68 citations). Yuting Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Honglak Lee, Xueming Qian, Scott Reed, Weifeng Chen, Luo Wang, Kihyuk Sohn, Xiaochun Cao, Jialie Shen, Yijie Guo and Zhiyuan He. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.
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.