Chang-Hwan Kim

48 papers receiving 788 citations

Peers

Chang-Hwan Kim
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 590
  • Control and Systems Engineering 524
  • Mechanical Engineering 74
  • Artificial Intelligence 72
  • Automotive Engineering 40
Replace Hiroshi Kinjo with:
Hiroshi Kinjo Japan
İbrahim Beklan Küçükdemiral United Kingdom
Ke Shi China
Mahamad Nabab Alam India
M. A. Choudhry Pakistan
A. Domijan United States
P. Varilone Italy
Ting Lei China
Safeer Ullah Pakistan
Bochao Zhao China
Chang-Hwan Kim relative to Hiroshi Kinjo Japan Hiroshi Kinjo's profile →
Citations per field
00.5×7.3×
Hiroshi Kinjo · 1×
Citations per year

Countries citing papers authored by Chang-Hwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Hwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Hwan Kim. 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 Chang-Hwan Kim. The network helps show where Chang-Hwan Kim may publish in the future.

Co-authorship network of co-authors of Chang-Hwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Hwan Kim. A scholar is included among the top collaborators of Chang-Hwan Kim 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 Chang-Hwan Kim. Chang-Hwan Kim 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 0
2 1
3 1
4 2
5 14
6 56
7 7
8 68
9 9
10 25
11 58
12
An Adaptive Protective Coordination Scheme for Distribution System using Digital Overcurrent Relays
6
13 1
14 1
15 1
16 10
17
Path Tracking Motion Control using Fuzzy Inference for a Parking-Assist System
2
18 4
19 6
20 1

About Chang-Hwan Kim

Chang-Hwan Kim is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 54 papers that have together received 817 indexed citations. Recurring topics across this work include Power Systems Fault Detection (13 papers), Islanding Detection in Power Systems (10 papers) and HVDC Systems and Fault Protection (8 papers). The work is most often cited by research in Control and Systems Engineering (524 citations), Electrical and Electronic Engineering (590 citations) and Automotive Engineering (40 citations). Chang-Hwan Kim has collaborated with scholars based in South Korea, China and Japan. Frequent co-authors include Sang-Bong Rhee, Jiangtao Yu, Abdul Wadood, Tahir Khurshaid, Saeid Gholami Farkoush, In-Joong Ha, Kyu‐Ho Kim, Zong Woo Geem, Changjoo Nam and Jasbir S. Arora. Their work appears in journals such as IEEE Access, Computer Methods in Applied Mechanics and Engineering and IEEE Transactions on Control Systems Technology.

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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