Zhengyang Tang
- Water Science and Technology top 5%
- Environmental Engineering top 5%
- Global and Planetary Change top 10%
- Electrical and Electronic Engineering
- Ocean Engineering top 10%
- Co-authors
- Hairong ZhangWenjing NiuZhong-kai FengXu YangZhiqiang JiangYi LiuJianzhong ZhouQin Shen
- Topics
- Hydrology and Watershed Management Studies (11 papers)Hydrological Forecasting Using AI (10 papers)Flood Risk Assessment and Management (7 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Zhengyang Tang
31 papers receiving 514 citations
Peers
Comparison fields: 5 of 77
- Water Science and Technology 260
- Environmental Engineering 243
- Global and Planetary Change 187
- Electrical and Electronic Engineering 157
- Ocean Engineering 64
Countries citing papers authored by Zhengyang Tang
This map shows the geographic impact of Zhengyang Tang'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 Zhengyang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengyang Tang more than expected).
Fields of papers citing papers by Zhengyang Tang
This network shows the impact of papers produced by Zhengyang Tang. 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 Zhengyang Tang. The network helps show where Zhengyang Tang may publish in the future.
Co-authorship network of co-authors of Zhengyang Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengyang Tang. A scholar is included among the top collaborators of Zhengyang Tang 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 Zhengyang Tang. Zhengyang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | Predicting financial risk using non-financial data: Design and evaluation of a predictive analytics framework | 0 |
| 20 | 2 |
About Zhengyang Tang
Zhengyang Tang is a scholar working on Environmental Engineering, Water Science and Technology and Ocean Engineering, having authored 37 papers that have together received 524 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Hydrological Forecasting Using AI (10 papers) and Flood Risk Assessment and Management (7 papers). The work is most often cited by research in Water Science and Technology (260 citations), Environmental Engineering (243 citations) and Global and Planetary Change (187 citations). Zhengyang Tang has collaborated with scholars based in China, United States and France. Frequent co-authors include Hairong Zhang, Wenjing Niu, Zhong-kai Feng, Xu Yang, Zhiqiang Jiang, Yi Liu, Jianzhong Zhou, Qin Shen, Guanjun Liu and Ziyu Ding. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nano Letters.
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.