Tienfuan Kerh

820 citations
46 papers · 674 indexed · h-index 13
Topics
Hydrological Forecasting Using AI (13 papers)Plant Water Relations and Carbon Dynamics (10 papers)Irrigation Practices and Water Management (9 papers)

In The Last Decade

Tienfuan Kerh

45 papers receiving 622 citations

Peers

Tienfuan Kerh
Comparison fields: 5 of 72
  • Environmental Engineering 300
  • Global and Planetary Change 262
  • Water Science and Technology 169
  • Civil and Structural Engineering 160
  • Artificial Intelligence 99
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Citations per field
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Citations per year

Countries citing papers authored by Tienfuan Kerh

Since Specialization
Citations

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

Fields of papers citing papers by Tienfuan Kerh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tienfuan Kerh

This figure shows the co-authorship network connecting the top 25 collaborators of Tienfuan Kerh. A scholar is included among the top collaborators of Tienfuan Kerh 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 Tienfuan Kerh. Tienfuan Kerh 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 1
2 6
3 26
4 140
5
Agricultural productivity potential assessment by using rainfall contribution index in Sub-Sahara Africa
4
6 16
7
Neural networks approaches for modelling river suspended sediment concentration due to tropical storms.
17
8 12
9
Using artificial neural networks for modeling suspended sediment concentration
7
10 10
11
Monitoring event-based suspended sediment concentration by artificial neural network models
18
12
Modeling reference evapotranspiration by generalized regression neural network in semiarid zone of Africa
11
13
Feed forward backpropagation algorithm for estimating reference evapotranspiration in Burkina Faso
1
14
Computing and modeling for crop yields in Burkina Faso based on climatic data information
17
15
A climatic data information model for computing crop yields in Burkina Faso
1
16
Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso
31
17 1
18 2
19 10
20 57

About Tienfuan Kerh

Tienfuan Kerh is a scholar working on Environmental Engineering, Soil Science and Civil and Structural Engineering, having authored 46 papers that have together received 674 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (13 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Irrigation Practices and Water Management (9 papers). The work is most often cited by research in Environmental Engineering (300 citations), Global and Planetary Change (262 citations) and Water Science and Technology (169 citations). Tienfuan Kerh has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Yu‐Min Wang, Seydou Traoré, Chiu‐Jung Liao, Seydou Traoré, Rob Saunders, Ayman S. Mosallam, Chien‐Chang Lin and Yen‐Ming Chen. Their work appears in journals such as Agricultural Water Management, Computers & Structures and Neural Computing and Applications.

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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