Kun Soo Chang

1.8k citations
107 papers · 1.3k indexed · 1 hit paper · h-index 18

Kun Soo Chang

97 papers receiving 1.2k citations

Hit Papers

Bankruptcy prediction for SMEs using transactional data a...279202020262022202450100150200250

Peers

Kun Soo Chang
Comparison fields: 5 of 138
  • Applied Mathematics 186
  • Mathematical Physics 111
  • Accounting 114
  • Control and Systems Engineering 204
  • Computational Theory and Mathematics 130
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Jim Freeman United Kingdom
Hiroshi Ohta Japan
Hamed Alsulami Saudi Arabia
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Min Dai China
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Citations per year

Countries citing papers authored by Kun Soo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Soo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Soo Chang. 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 Kun Soo Chang. The network helps show where Kun Soo Chang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kun Soo Chang, 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 Kun Soo Chang Line = papers co-authored together Kun Soo Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20236
3 20239
4 202310
5 20221
6 20141
7 201082
8 200116
9
Data Reconciliation and Optimization of Utility Plants for Energy Saving
19970
10
AN $L_p$ ANALYTIC FOURIER-EYNMAN TRANSFORM ON ABSTRACT WIENER SPACE
19971
11
Control of Chaos in Nonlinear Chemical Reactor
19936
12
Development of Models for the Prediction of Electric Power Supply-Demand and the Optimal Operation of Power Plants at Iron and Steel Works
19923
13
Dynamic Modeling of LD Converter Processes
19913
14
Optimal Synthesis for Retrofitting Heat Exchanger Network
19902
15
Necessary Conditions in the Optimal Control of Nonlinear Integral Equations
19892
16 19881
17 19853
18
ON THE MULTIPLE SOLUTIONS OF THE ELLIPTIC DIFFERENTIAL EQUATIONS WITH DISCONTINUOUS NONLINEAR TERMS
197842
19 19762
20 197373

About Kun Soo Chang

Kun Soo Chang is a scholar working on Applied Mathematics, Mathematical Physics and Control and Systems Engineering, having authored 107 papers that have together received 1.3k indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (17 papers), Advanced Control Systems Optimization (12 papers), Mathematical Analysis and Transform Methods (12 papers), advanced mathematical theories (10 papers), Advanced Fiber Laser Technologies (10 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Process Optimization and Integration (7 papers) and Superconducting Materials and Applications (7 papers). The work is most often cited by research in Applied Mathematics (186 citations), Mathematical Physics (111 citations) and Accounting (114 citations). Kun Soo Chang has collaborated with scholars based in South Korea, Canada and China. Frequent co-authors include Feng Shen, Yong Xu, Yi Peng, Gang Kou, Jong Moon Park, Dae Sung Lee, Che Ok Jeon, Chee Chow, R.D. Willett and Chonghun Han. Their work appears in journals such as Korean Journal of Chemical Engineering, Optics Express, Chemical Engineering Communications, International Journal of Control and IEEE Transactions on Applied Superconductivity.

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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