Cheol Young Park

26 papers receiving 374 citations

Hit Papers

Interpretation of ensemble learning to predict water qual...2022202620232024202250100150

Peers

Cheol Young Park
Comparison fields: 5 of 100
  • Artificial Intelligence 91
  • Environmental Engineering 86
  • Water Science and Technology 84
  • Electrical and Electronic Engineering 44
  • Industrial and Manufacturing Engineering 37
Replace Jesús Zambrano with:
Jesús Zambrano Sweden
Nouar AlDahoul Malaysia
Qiannan Zhang China
An Nguyen Canada
Xiaochi Zhou United States
Yue Zhao China
Dulakshi Santhusitha Kumari Karunasingha Sri Lanka
Tobias Pielok Germany
Cheol Young Park relative to Jesús Zambrano Sweden Jesús Zambrano's profile →
Citations per field
00.5×2.9×
Jesús Zambrano · 1×
Citations per year

Countries citing papers authored by Cheol Young Park

Since Specialization
Citations

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

Fields of papers citing papers by Cheol Young Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheol Young Park. 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 Cheol Young Park. The network helps show where Cheol Young Park may publish in the future.

Co-authorship network of co-authors of Cheol Young Park

This figure shows the co-authorship network connecting the top 25 collaborators of Cheol Young Park. A scholar is included among the top collaborators of Cheol Young Park 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 Cheol Young Park. Cheol Young Park 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 7
2
Interpretation of ensemble learning to predict water quality using explainable artificial intelligencebreakdown →
160
3
An Exploratory Study on the Effect of Chatbot's Characteristics on Intention of Acceptance: Focusing on the Moderate Effect of Personal Innovativeness
1
4 2
5 32
6 2
7 49
8
A process for human-aided Multi-Entity Bayesian Networks learning in Predictive Situation Awareness
6
9 3
10
Predictive situation awareness reference model using Multi-Entity Bayesian Networks
7
11 3
12
Multi-Entity Bayesian Networks learning for hybrid variables in situation awareness
11
13 1
14
Study of MEBN Learning for Relational Model.
1
15
High-level information fusion with Bayesian semantics
12
16 0
17
Evaluating uncertainty representation and reasoning in HLF systems
18
18 3
19
A Qualitative Study of Factors Influencing on Consumer Trust in B-to-C Electronic Commerce
5
20
Implementation of Neural Networks for Dynamic Pattern Generation
0

About Cheol Young Park

Cheol Young Park is a scholar working on Management Science and Operations Research, Artificial Intelligence and Cultural Studies, having authored 32 papers that have together received 399 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Data Quality and Management (8 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Environmental Engineering (86 citations), Water Science and Technology (84 citations) and Industrial and Manufacturing Engineering (36 citations). Cheol Young Park has collaborated with scholars based in United States, South Korea and Tunisia. Frequent co-authors include Jungsu Park, Tae‐Young Heo, Woo Hyoung Lee, Keugtae Kim, Sang‐hun Lee, Kathryn Blackmond Laskey, Paulo Costa, Jong-Ho Lee, Bum Ho Choi and Hyunho Lee. Their work appears in journals such as Applied Physics Letters, The Science of The Total Environment and Water Research.

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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