Sinan Wang
Impact in
- Automotive Engineering top 10%
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- Multimodal Machine Learning Applications
Papers in
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- Plant Water Relations and Carbon Dynamics 11
- Hydrology and Drought Analysis 10
- Climate variability and models 9
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- Tree-ring climate responses 4
- Co-authors
- Mingsheng Long (3 shared papers)Xinyang Chen (3 shared papers)Jianmin Wang (3 shared papers)Yingjie Wu (15 shared papers)Ruiping Li (5 shared papers)Han Hao (5 shared papers)Zongwei Liu (4 shared papers)Fuquan Zhao (3 shared papers)
- Journals
- Scientific Reports (3 papers)Global Ecology and Conservation (2 papers)Atmosphere (2 papers)Applied Energy (2 papers)Energy (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sinan Wang
34 papers receiving 666 citations
Peers
Comparison fields: 5 of 88
- Automotive Engineering 87
- Computer Vision and Pattern Recognition 143
- Global and Planetary Change 148
- Renewable Energy, Sustainability and the Environment 107
- Artificial Intelligence 206
Countries citing papers authored by Sinan Wang
This map shows the geographic impact of Sinan Wang'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 Sinan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinan Wang more than expected).
Fields of papers citing papers by Sinan Wang
This network shows the impact of papers produced by Sinan Wang. 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 Sinan Wang. The network helps show where Sinan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sinan Wang, 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 | Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation | 2019 | 158 |
| 2 | 2022 | 64 | |
| 3 | Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning | 2019 | 61 |
| 4 | 2018 | 41 | |
| 5 | 2023 | 40 | |
| 6 | 2018 | 38 | |
| 7 | 2022 | 36 | |
| 8 | 2022 | 35 | |
| 9 | 2019 | 29 | |
| 10 | 2015 | 29 | |
| 11 | 2020 | 23 | |
| 12 | 2022 | 21 | |
| 13 | 2017 | 21 | |
| 14 | 2023 | 16 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 4 |
About Sinan Wang
Sinan Wang is a scholar working on Global and Planetary Change, Atmospheric Science, Water Science and Technology, Ecology and Electrical and Electronic Engineering, having authored 37 papers that have together received 681 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (11 papers), Hydrology and Drought Analysis (10 papers), Climate variability and models (9 papers), Hydrology and Watershed Management Studies (6 papers), Remote Sensing in Agriculture (6 papers), Electric Vehicles and Infrastructure (5 papers), Energy, Environment, and Transportation Policies (5 papers) and Tree-ring climate responses (4 papers). The work is most often cited by research in Automotive Engineering (87 citations), Computer Vision and Pattern Recognition (143 citations), Global and Planetary Change (148 citations), Renewable Energy, Sustainability and the Environment (107 citations) and Artificial Intelligence (206 citations). Sinan Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Mingsheng Long, Xinyang Chen, Jianmin Wang, Yingjie Wu, Ruiping Li, Han Hao, Zongwei Liu, Fuquan Zhao, Fuquan Zhao and Kangda Chen. Their work appears in journals such as Scientific Reports, Global Ecology and Conservation, Atmosphere, Applied Energy and Energy.
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.