Daeic Chang

12 papers receiving 478 citations

Peers

Daeic Chang
Comparison fields: 5 of 47
  • Bioengineering 147
  • Water Science and Technology 145
  • Biomedical Engineering 236
  • Electrical and Electronic Engineering 297
  • Polymers and Plastics 66
Replace Kai Wei with:
Kai Wei China
Fatima Zohra Zeggai Algeria
Djamila Zioui Algeria
Daniel Wandera United States
Fábio Augusto do Amaral Brazil
Hengliang Mo China
Bouzid Messaoudi Algeria
Jiancheng Wu China
Wei Long China
Daeic Chang relative to Kai Wei China Kai Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daeic Chang

Since Specialization
Citations

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

Fields of papers citing papers by Daeic Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daeic 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 Daeic Chang Line = papers co-authored together Daeic Chang links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010192
2 201476
3 200767
4 200967
5 200824
6 201119
7
Use of Chelating Polymers to Enhance Manganese Removal in Ultrafiltration for Drinking Water Treatment
200717
8 20156
9 20105
10 20115
11 20104
12 20113
13
Removal of uranium, arsenic, and nitrate by continuously regenerated ion exchange process
19961

About Daeic Chang

Daeic Chang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Water Science and Technology, Renewable Energy, Sustainability and the Environment and Electronic, Optical and Magnetic Materials, having authored 13 papers that have together received 486 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (6 papers), ZnO doping and properties (4 papers), Ga2O3 and related materials (3 papers), Membrane Separation Technologies (3 papers), Analytical Chemistry and Sensors (2 papers), Advanced Chemical Sensor Technologies (1 paper), Recycling and Waste Management Techniques (1 paper) and Solar-Powered Water Purification Methods (1 paper). The work is most often cited by research in Bioengineering (147 citations), Water Science and Technology (145 citations), Biomedical Engineering (236 citations), Electrical and Electronic Engineering (297 citations) and Polymers and Plastics (66 citations). Daeic Chang has collaborated with scholars based in South Korea. Frequent co-authors include Sang Kyoo Lim, Soonhyun Kim, Sung‐Ho Hwang, Kwang‐Ho Choo, Soo‐Keun Lee, Sang Wook Kim, Sang-June Choi, Hong‐Kun Lyu, Dae‐Kue Hwang and Jiwon Jung. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Hazardous Materials, Current Applied Physics, Desalination and Sensors and Actuators B Chemical.

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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