Changwon Lim

37 papers receiving 380 citations

Peers

Changwon Lim
Comparison fields: 5 of 109
  • Research and Theory 4
  • Critical Care and Intensive Care Medicine 20
  • Statistics and Probability 38
  • Health Informatics 5
  • Issues, ethics and legal aspects 3
Replace John Parke with:
John Parke Australia
Colin Pawlowski United States
Tingjie Guo Netherlands
Hamid Reza Niazkar Iran
N.V. Jiménez‐Torres Spain
Luca F. Roggeveen Netherlands
Umberto Picchini Denmark
Lucas M. Fleuren Netherlands
Yunqi Chen China
Changwon Lim relative to John Parke Australia John Parke's profile →
Citations per field
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Citations per year

Countries citing papers authored by Changwon Lim

Since Specialization
Citations

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

Fields of papers citing papers by Changwon Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Changwon Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Changwon Lim Line = papers co-authored together Changwon Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200947
2 202143
3 202030
4 202327
5 201624
6 201922
7 201622
8 202121
9 201720
10 201720
11 201716
12 202215
13 201212
14 202012
15 201112
16 201010
17 20145
18 20224
19
A study on patent evaluation model based on Bayesian approach of the structural equation model
20173
20 20193

About Changwon Lim

Changwon Lim is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition and Molecular Biology, having authored 43 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Technology and Data Analysis (3 papers), Video Analysis and Summarization (3 papers), Energy Load and Power Forecasting (3 papers), Advanced Statistical Process Monitoring (3 papers), Noise Effects and Management (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Research and Theory (4 citations), Critical Care and Intensive Care Medicine (20 citations), Statistics and Probability (38 citations), Health Informatics (5 citations) and Issues, ethics and legal aspects (3 citations). Changwon Lim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jisu Kim, Kyunghee Kim, Pranab Kumar Sen, Shyamal D. Peddada, So‐Young Park, Su‐Han Woo, Jaeseong Jeong, Jinhee Choi, Kim L. R. Brouwer and Jin Kyung Lee. Their work appears in journals such as PLoS ONE, Expert Systems with Applications, Scientific Reports, Transportation Research Part D Transport and Environment and Optics and Lasers in Engineering.

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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