Yen‐Ming Chiang

962 total citations
24 papers, 779 citations indexed

About

Yen‐Ming Chiang is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Yen‐Ming Chiang has authored 24 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 14 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Yen‐Ming Chiang's work include Hydrology and Watershed Management Studies (15 papers), Hydrological Forecasting Using AI (13 papers) and Flood Risk Assessment and Management (8 papers). Yen‐Ming Chiang is often cited by papers focused on Hydrology and Watershed Management Studies (15 papers), Hydrological Forecasting Using AI (13 papers) and Flood Risk Assessment and Management (8 papers). Yen‐Ming Chiang collaborates with scholars based in Taiwan, China and United States. Yen‐Ming Chiang's co-authors include Fi‐John Chang, Li‐Chiu Chang, Soroosh Sorooshian, Kuolin Hsu, Ben Jong‐Dao Jou, Yang Hong, Yue‐Ping Xu, Meng‐Jung Tsai, Suli Pan and Wen‐Ping Tsai and has published in prestigious journals such as Journal of Hydrology, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Yen‐Ming Chiang

24 papers receiving 737 citations

Peers

Yen‐Ming Chiang
Lu‐Hsien Chen Taiwan
Bagher Shirmohammadi Iran
Tao-Chang Yang Taiwan
Okan Mert Katipoğlu Türkiye
Sinan Jasim Hadi Türkiye
Farshad Ahmadi Iran
Seyed Mostafa Biazar Iran
Mohammad Sajjad Khan Canada
Özlem Terzi Türkiye
Lu‐Hsien Chen Taiwan
Yen‐Ming Chiang
Citations per year, relative to Yen‐Ming Chiang Yen‐Ming Chiang (= 1×) peers Lu‐Hsien Chen

Countries citing papers authored by Yen‐Ming Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Yen‐Ming Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen‐Ming Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Ming Chiang. A scholar is included among the top collaborators of Yen‐Ming 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 Yen‐Ming Chiang. Yen‐Ming 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
1.
Yu, Hongjie, Yue‐Ping Xu, Hua Zhong, Yen‐Ming Chiang, & Li Liu. (2023). Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method. Natural Hazards. 120(4). 3213–3238. 1 indexed citations
2.
3.
Chiang, Yen‐Ming, et al.. (2022). Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence. Journal of Hydrology Regional Studies. 44. 101204–101204. 11 indexed citations
4.
Ho, Hao‐Che, et al.. (2021). Development of an Interdisciplinary Prediction System Combining Sediment Transport Simulation and Ensemble Method. Water. 13(18). 2588–2588. 1 indexed citations
5.
Xu, Yue‐Ping, et al.. (2021). Identification of the controlling factors for hydrological responses by artificial neural networks. Hydrological Processes. 35(11). 3 indexed citations
6.
Chiang, Yen‐Ming, et al.. (2020). Precipitation assimilation from gauge and satellite products by a Bayesian method with Gamma distribution. International Journal of Remote Sensing. 42(3). 1017–1034. 4 indexed citations
7.
8.
Chiang, Yen‐Ming, et al.. (2018). Identifying the Sensitivity of Ensemble Streamflow Prediction by Artificial Intelligence. Water. 10(10). 1341–1341. 10 indexed citations
9.
Pan, Suli, et al.. (2017). A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin, East China. Hydrological Sciences Journal. 62(15). 2511–2530. 16 indexed citations
10.
Tsai, Wen‐Ping, et al.. (2016). Exploring the Mechanism of Surface and Ground Water through Data-Driven Techniques with Sensitivity Analysis for Water Resources Management. Water Resources Management. 30(13). 4789–4806. 13 indexed citations
11.
Chang, Fi‐John, et al.. (2013). Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information. Journal of Hydrology. 508. 374–384. 60 indexed citations
12.
Chang, Fi‐John, et al.. (2012). Self-organizing radial basis neural network for predicting typhoon-induced losses to rice. Paddy and Water Environment. 11(1-4). 369–380. 4 indexed citations
13.
Chiang, Yen‐Ming, et al.. (2012). A hybrid artificial neural network-based agri-economic model for predicting typhoon-induced losses. Natural Hazards. 63(2). 769–787. 5 indexed citations
14.
Chiang, Yen‐Ming & Fi‐John Chang. (2009). Integrating hydrometeorological information for rainfall‐runoff modelling by artificial neural networks. Hydrological Processes. 23(11). 1650–1659. 38 indexed citations
15.
Chang, Fi‐John, Yen‐Ming Chiang, & Li‐Chiu Chang. (2007). Multi-step-ahead neural networks for flood forecasting. Hydrological Sciences Journal. 52(1). 114–130. 108 indexed citations
16.
Chiang, Yen‐Ming, Kuolin Hsu, Fi‐John Chang, Yang Hong, & Soroosh Sorooshian. (2007). Merging multiple precipitation sources for flash flood forecasting. Journal of Hydrology. 340(3-4). 183–196. 89 indexed citations
17.
Chiang, Yen‐Ming, et al.. (2006). Dynamic ANN for precipitation estimation and forecasting from radar observations. Journal of Hydrology. 334(1-2). 250–261. 84 indexed citations
18.
19.
Chiang, Yen‐Ming, Li‐Chiu Chang, & Fi‐John Chang. (2004). Comparison of static-feedforward and dynamic-feedback neural networks for rainfall–runoff modeling. Journal of Hydrology. 290(3-4). 297–311. 179 indexed citations
20.
Chang, Li‐Chiu, Fi‐John Chang, & Yen‐Ming Chiang. (2003). A two‐step‐ahead recurrent neural network for stream‐flow forecasting. Hydrological Processes. 18(1). 81–92. 80 indexed citations

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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