Huang Sheng
- Water Science and Technology top 10%
- Environmental Engineering top 10%
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Information Systems top 10%
- Topics
- Hydrological Forecasting Using AI (7 papers)Recommender Systems and Techniques (5 papers)Hydrology and Watershed Management Studies (5 papers)
In The Last Decade
Huang Sheng
27 papers receiving 283 citations
Peers
Comparison fields: 5 of 72
- Water Science and Technology 97
- Environmental Engineering 72
- Statistical and Nonlinear Physics 70
- Artificial Intelligence 52
- Information Systems 45
Countries citing papers authored by Huang Sheng
This map shows the geographic impact of Huang Sheng'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 Huang Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huang Sheng more than expected).
Fields of papers citing papers by Huang Sheng
This network shows the impact of papers produced by Huang Sheng. 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 Huang Sheng. The network helps show where Huang Sheng may publish in the future.
Co-authorship network of co-authors of Huang Sheng
This figure shows the co-authorship network connecting the top 25 collaborators of Huang Sheng. A scholar is included among the top collaborators of Huang Sheng 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 Huang Sheng. Huang Sheng 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 | 13 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | Control and data acquisition system for the macromolecular crystallography beamline of SSRF | 3 |
| 16 | Analysis on the demand for communication services in smart distribution network and communication technical scheme | 15 |
| 17 | UTILIZATION OF JAROSITE CONTAINING ZINC | 1 |
| 18 | The Design of Digital Multi-purpose Watch Module Based on C8051F350 | 0 |
| 19 | On Educational Value of Duan Festival of Shui Minority | 0 |
| 20 | Design of the simulation for inertial navigation system | 0 |
About Huang Sheng
Huang Sheng is a scholar working on Health Informatics, Water Science and Technology and Environmental Engineering, having authored 34 papers that have together received 297 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (7 papers), Recommender Systems and Techniques (5 papers) and Hydrology and Watershed Management Studies (5 papers). The work is most often cited by research in Water Science and Technology (97 citations), Statistical and Nonlinear Physics (70 citations) and Environmental Engineering (72 citations). Huang Sheng has collaborated with scholars based in China, Morocco and Singapore. Frequent co-authors include Yueling Wang, Jun Xia, Gangsheng Wang, Dunxian She, Ahmed Sameh, Sidong Zeng, Jiarui Lei, Lin Zheng, Jun Xia and Wanyu Li. Their work appears in journals such as The Science of The Total Environment, Water Research and Water Resources Research.
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.