Hanlin Yin

848 citations
26 papers · 600 indexed · h-index 13
Topics
Hydrology and Watershed Management Studies (9 papers)Hydrological Forecasting Using AI (8 papers)Flood Risk Assessment and Management (6 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Hanlin Yin

24 papers receiving 593 citations

Peers

Hanlin Yin
Comparison fields: 5 of 59
  • Environmental Engineering 308
  • Water Science and Technology 266
  • Global and Planetary Change 227
  • Atmospheric Science 131
  • Media Technology 124
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Monidipa Das India
Lajiao Chen China
Ling Peng China
Zhengzheng Lou China
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Hanlin Yin relative to Monidipa Das India Monidipa Das's profile →
Citations per field
00.5×7.6×
Monidipa Das · 1×
Citations per year

Countries citing papers authored by Hanlin Yin

Since Specialization
Citations

This map shows the geographic impact of Hanlin Yin'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 Hanlin Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanlin Yin more than expected).

Fields of papers citing papers by Hanlin Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hanlin Yin. 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 Hanlin Yin. The network helps show where Hanlin Yin may publish in the future.

Co-authorship network of co-authors of Hanlin Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Hanlin Yin. A scholar is included among the top collaborators of Hanlin Yin 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 Hanlin Yin. Hanlin Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 3
4 6
5 2
6 44
7 10
8 0
9 4
10 18
11 58
12 86
13 51
14 12
15 14
16 0
17 13
18
Ranking estimation performance by estimator randomization and attribute support
5
19
Measures for ranking estimation performance based on single or multiple performance metrics
14
20
New robust metrics of central tendency for estimation performance evaluation
7

About Hanlin Yin

Hanlin Yin is a scholar working on Water Science and Technology, Environmental Engineering and Statistics and Probability, having authored 26 papers that have together received 600 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (9 papers), Hydrological Forecasting Using AI (8 papers) and Flood Risk Assessment and Management (6 papers). The work is most often cited by research in Environmental Engineering (308 citations), Water Science and Technology (266 citations) and Media Technology (124 citations). Hanlin Yin has collaborated with scholars based in China, United States and France. Frequent co-authors include Yanning Zhang, Xiuwei Zhang, Runliang Xia, Jin Jin, Jiaojiao Chen, X. Rong Li, Yinghui Xing, Jian Lan, Yanping Li and Jiaojiao Chen. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and Signal Processing.

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.

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