Jie‐Lun Chiang

455 citations
24 papers · 336 indexed · h-index 10
Topics
Water Quality Monitoring Technologies (6 papers)Hydrology and Watershed Management Studies (5 papers)Hydrological Forecasting Using AI (4 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Jie‐Lun Chiang

21 papers receiving 324 citations

Peers

Jie‐Lun Chiang
Comparison fields: 5 of 52
  • Global and Planetary Change 147
  • Atmospheric Science 133
  • Water Science and Technology 100
  • Geochemistry and Petrology 75
  • Environmental Engineering 59
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Citations per field
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Citations per year

Countries citing papers authored by Jie‐Lun Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Jie‐Lun Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jie‐Lun Chiang. 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 Jie‐Lun Chiang. The network helps show where Jie‐Lun Chiang may publish in the future.

Co-authorship network of co-authors of Jie‐Lun Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jie‐Lun Chiang. A scholar is included among the top collaborators of Jie‐Lun Chiang 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 Jie‐Lun Chiang. Jie‐Lun Chiang 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 2
2 0
3 0
4 21
5 5
6 7
7 5
8 11
9 0
10
Suspended Sediment Load Prediction Using Support Vector Machines in the Goodwin Creek Experimental Watershed
1
11
Potential and Distribution of Rainfall-induced Landslide
1
12 8
13 11
14 10
15 28
16
Rain Gauges Network Design using Discrete Entropy and Kriging Approach
1
17 7
18
Hypothesis-test-based landcover change detection using multitemporal satellite images
1
19 20
20 140

About Jie‐Lun Chiang

Jie‐Lun Chiang is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 24 papers that have together received 336 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (6 papers), Hydrology and Watershed Management Studies (5 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Geochemistry and Petrology (75 citations), Atmospheric Science (133 citations) and Water Science and Technology (100 citations). Jie‐Lun Chiang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Françoise Vimeux, Robert Gallaire, Sandrine Bony, G. Hoffmann, Ke‐Sheng Cheng, Han‐Chung Yang, Tzu-Ming Liu, Chiang Wei, Yuan-Fong Su and Xiaoli Zhao. Their work appears in journals such as Earth and Planetary Science Letters, IEEE Transactions on Geoscience and Remote Sensing and Hydrological Processes.

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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