In-Chul Hwang

2.4k citations
90 papers · 1.9k indexed · h-index 25

In-Chul Hwang

81 papers receiving 1.8k citations

Peers

In-Chul Hwang
Comparison fields: 5 of 104
  • Electrical and Electronic Engineering 1.2k
  • Renewable Energy, Sustainability and the Environment 298
  • Biomedical Engineering 710
  • Bioengineering 69
  • Spectroscopy 189
Replace Wei Ren with:
Wei Ren China
Qiushi Guo United States
Qian Gao China
Michael Belsley Portugal
Yuhan He China
Wei Qin China
Abhishek Kulkarni United States
Philip J. Kitson United Kingdom
Zhenzhen Xu China
Shaohua Dong China
In-Chul Hwang relative to Wei Ren China Wei Ren's profile →
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Citations per year

Countries citing papers authored by In-Chul Hwang

Since Specialization
Citations

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

Fields of papers citing papers by In-Chul Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Chul Hwang. 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 In-Chul Hwang. The network helps show where In-Chul Hwang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20242
5 20235
6 20233
7 20216
8 20212
9 20213
10 202023
11 202015
12
An Intelligent Dialogue Agent for the IoT Home.
20163
13 200813
14
MAXIMUM BRAKING FORCE CONTROL UTILIZING THE ESTIMATED BRAKING FORCE
20077
15 20061
16
Design and Implementation of Cooperative Cluster File System.
20051
17 200226
18 200224
19 20021
20
Curative and Protective Effects of Garlic on Lead Poisoning
20011

About In-Chul Hwang

In-Chul Hwang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Bioengineering, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advancements in PLL and VCO Technologies (28 papers), Analog and Mixed-Signal Circuit Design (25 papers), Radio Frequency Integrated Circuit Design (20 papers), Low-power high-performance VLSI design (9 papers), Fuel Cells and Related Materials (8 papers), Speech and dialogue systems (7 papers), Topic Modeling (7 papers) and Semiconductor Lasers and Optical Devices (7 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.2k citations), Renewable Energy, Sustainability and the Environment (298 citations) and Biomedical Engineering (710 citations). In-Chul Hwang has collaborated with scholars based in South Korea, United States and United Arab Emirates. Frequent co-authors include Kwang S. Kim, Bumwook Roh, Hansung Kim, Hyung‐Suk Oh, Sung‐Mo Kang, Soo-Won Kim, Seung Kyu Min, Juyoung Yoon, N. Jiten Singh and Woo Youn Kim. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Macromolecules.

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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