Dingsheng Wan
- Media Technology top 2%
- Artificial Intelligence top 10%
- Atmospheric Science top 10%
- Environmental Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Shijin LiHao WuYuelong ZhuYufeng YuPengcheng ZhangXinxin YangHuan LiuJianbin Qiu
- Topics
- Hydrological Forecasting Using AI (17 papers)Time Series Analysis and Forecasting (11 papers)Hydrology and Watershed Management Studies (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dingsheng Wan
41 papers receiving 608 citations
Peers
Comparison fields: 5 of 95
- Media Technology 203
- Artificial Intelligence 191
- Atmospheric Science 155
- Environmental Engineering 114
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Dingsheng Wan
This map shows the geographic impact of Dingsheng Wan'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 Dingsheng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingsheng Wan more than expected).
Fields of papers citing papers by Dingsheng Wan
This network shows the impact of papers produced by Dingsheng Wan. 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 Dingsheng Wan. The network helps show where Dingsheng Wan may publish in the future.
Co-authorship network of co-authors of Dingsheng Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Dingsheng Wan. A scholar is included among the top collaborators of Dingsheng Wan 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 Dingsheng Wan. Dingsheng Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | Wavelet-neural network model based complex hydrological time series prediction | 1 |
| 12 | Multiple-strategy Combination Based Approach to Band Selection for Hyperspectral Image Classification | 2 |
| 13 | Content-based remote sensing image retrieval using co-training of multiple classifiers | 1 |
| 14 | BORDA counting method based similarity analysis of multivariate hydrological time series | 4 |
| 15 | Geological section modeling system based on borehole data | 3 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 6 |
About Dingsheng Wan
Dingsheng Wan is a scholar working on Environmental Engineering, Signal Processing and Water Science and Technology, having authored 41 papers that have together received 632 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (17 papers), Time Series Analysis and Forecasting (11 papers) and Hydrology and Watershed Management Studies (8 papers). The work is most often cited by research in Media Technology (203 citations), Atmospheric Science (155 citations) and Environmental Engineering (114 citations). Dingsheng Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shijin Li, Hao Wu, Yuelong Zhu, Yufeng Yu, Pengcheng Zhang, Xinxin Yang, Huan Liu, Jianbin Qiu, Qun Zhao and Lars Grunske. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and Applied Sciences.
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.