Do Hyeun Kim

834 citations
47 papers · 572 indexed · h-index 15
Topics
Building Energy and Comfort Optimization (8 papers)IoT and Edge/Fog Computing (8 papers)Context-Aware Activity Recognition Systems (5 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Hydrogen EnergyIEEE Access
Partner nations
South KoreaPakistanOman

In The Last Decade

Do Hyeun Kim

41 papers receiving 537 citations

Peers

Do Hyeun Kim
Comparison fields: 5 of 93
  • Electrical and Electronic Engineering 159
  • Computer Networks and Communications 131
  • Building and Construction 109
  • Artificial Intelligence 93
  • Information Systems 88
Replace Alfred Daniel with:
Alfred Daniel India
Hariprasath Manoharan Saudi Arabia
Nasir Ayub Pakistan
Mariam Elnour Qatar
B. T. Geetha India
Vimal Shanmuganathan India
Fawaz Alassery Saudi Arabia
Siva Rama Krishnan Somayaji India
Syibrah Naim Malaysia
Roberto Gagliardi Italy
Do Hyeun Kim relative to Alfred Daniel India Alfred Daniel's profile →
Citations per field
00.5×1.5×2.5×
Alfred Daniel · 1×
Citations per year

Countries citing papers authored by Do Hyeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do Hyeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Hyeun 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 Do Hyeun Kim. The network helps show where Do Hyeun Kim may publish in the future.

Co-authorship network of co-authors of Do Hyeun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Do Hyeun Kim. A scholar is included among the top collaborators of Do Hyeun 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 Do Hyeun Kim. Do Hyeun 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 2
3 0
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5 15
6 1
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8 3
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11 15
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13 14
14 6
15 1
16 2
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18 8
19 71
20
Short-Term Energy Consumption Prediction in Korean Residential Buildings Using Optimized Multi-Layer Perceptron
22

About Do Hyeun Kim

Do Hyeun Kim is a scholar working on Building and Construction, Computer Networks and Communications and Radiological and Ultrasound Technology, having authored 47 papers that have together received 572 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (8 papers), IoT and Edge/Fog Computing (8 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Building and Construction (109 citations), Computer Networks and Communications (131 citations) and Health Information Management (21 citations). Do Hyeun Kim has collaborated with scholars based in South Korea, Pakistan and Oman. Frequent co-authors include Imran Imran, Naeem Iqbal, Shabir Ahmad, Wenquan Jin, Fazli Wahid, Anam Nawaz Khan, Rashid Ahmad, Atif Rizwan, Faisal Jamil and Harun Jamil. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and IEEE Access.

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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