Zhongrun Xiang
About
In The Last Decade
Zhongrun Xiang
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Environmental Engineering 708
- Water Science and Technology 656
- Global and Planetary Change 543
- Atmospheric Science 144
- Pollution 110
Countries citing papers authored by Zhongrun Xiang
This map shows the geographic impact of Zhongrun Xiang'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 Zhongrun Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongrun Xiang more than expected).
Fields of papers citing papers by Zhongrun Xiang
This network shows the impact of papers produced by Zhongrun Xiang. 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 Zhongrun Xiang. The network helps show where Zhongrun Xiang may publish in the future.
Co-authorship network of co-authors of Zhongrun Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongrun Xiang. A scholar is included among the top collaborators of Zhongrun Xiang 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 Zhongrun Xiang. Zhongrun Xiang 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 | 2 | |
| 3 | 13 | |
| 4 | 23 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 34 | |
| 13 | A comprehensive review of deep learning applications in hydrology and water resources breakdown → | 314 |
| 14 | A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning breakdown → | 502 |
| 15 | 85 | |
| 16 | 1 | |
| 17 | 45 | |
| 18 | 43 | |
| 19 | 4 | |
| 20 | 52 |
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.