Shuang-Hong Yang
- Information Systems top 1%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 2%
- Atmospheric Science top 10%
- Health, Toxicology and Mutagenesis top 5%
- Topics
- Atmospheric chemistry and aerosols (10 papers)Air Quality and Health Impacts (8 papers)Topic Modeling (6 papers)
- 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
- Artificial Intelligence 484
- Statistical and Nonlinear Physics 266
- Atmospheric Science 219
- Health, Toxicology and Mutagenesis 178
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 of co-authors of Shuang-Hong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuang-Hong Yang. A scholar is included among the top collaborators of Shuang-Hong Yang 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 Shuang-Hong Yang. Shuang-Hong Yang 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 | 10 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 21 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 29 | |
| 9 | 41 | |
| 10 | 1 | |
| 11 | 65 | |
| 12 | 64 | |
| 13 | Mixture of Mutually Exciting Processes for Viral Diffusion | 83 |
| 14 | Proceedings of the 1st workshop on User engagement optimization | 1 |
| 15 | 1 | |
| 16 | Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality | 12 |
| 17 | 1 | |
| 18 | Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora | 43 |
| 19 | 33 | |
| 20 | 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) and Topic Modeling (6 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.