Shuang-Hong Yang
- Information Systems top 1%
- Recommender Systems and Techniques 4
- Artificial Intelligence top 2%
- Topic Modeling 6
- Text and Document Classification Technologies 5
- Natural Language Processing Techniques 4
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- Air Quality and Health Impacts 8
- Atmospheric Science top 10%
- Atmospheric chemistry and aerosols 10
- Atmospheric Ozone and Climate 5
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- Atmospheric aerosols and clouds 5
- Journals
- The Science of The Total Environment (1 paper)Environmental Pollution (1 paper)Chemosphere (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Shuang-Hong Yang
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Information Systems 502
- Statistical and Nonlinear Physics 266
- Artificial Intelligence 484
- Health, Toxicology and Mutagenesis 178
- Atmospheric Science 219
Countries citing papers authored by Shuang-Hong Yang
This map shows the geographic impact of Shuang-Hong Yang'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 Shuang-Hong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang-Hong Yang more than expected).
Fields of papers citing papers by Shuang-Hong Yang
This network shows the impact of papers produced by Shuang-Hong Yang. 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 Shuang-Hong Yang. The network helps show where Shuang-Hong Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuang-Hong Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 21 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 41 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 65 | |
| 12 | 2014 | 64 | |
| 13 | Mixture of Mutually Exciting Processes for Viral Diffusion | 2013 | 83 |
| 14 | Proceedings of the 1st workshop on User engagement optimization | 2013 | 1 |
| 15 | 2013 | 1 | |
| 16 | Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality | 2011 | 12 |
| 17 | 2010 | 1 | |
| 18 | Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora | 2009 | 43 |
| 19 | 2009 | 33 | |
| 20 | 2008 | 18 |
About Shuang-Hong Yang
Shuang-Hong Yang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Information Systems, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (10 papers), Air Quality and Health Impacts (8 papers), Topic Modeling (6 papers), Atmospheric Ozone and Climate (5 papers), Atmospheric aerosols and clouds (5 papers), Text and Document Classification Technologies (5 papers), Recommender Systems and Techniques (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Information Systems (502 citations), Statistical and Nonlinear Physics (266 citations) and Artificial Intelligence (484 citations). Shuang-Hong Yang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Hongyuan Zha, Zhaohui Zheng, Bo Long, Ke Zhou, Alex Smola, Alexander J. Smola, Bao-Gang Hu, Bo Long, Yuesi Wang and Zirui Liu. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution and Chemosphere.
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.