Tak Hur

42 papers receiving 1.0k citations

Tak Hur's Hit Papers

Quantum convolutional neural network for classical data classification 2022 · 185 citations
1850+1+2Years since publication50100150

Peers

Tak Hur
Comparison fields: 5 of 95
  • Environmental Engineering 414
  • Energy Engineering and Power Technology 90
  • Industrial and Manufacturing Engineering 218
  • Strategy and Management 192
  • Pollution 147
Replace Scott Kennedy with:
Scott Kennedy United States
Abdolvahhab Fetanat Iran
Styliani Avraamidou United States
Meihui Jiang China
Di Xu China
Siqin Xiong China
Jonathan Busch United Kingdom
Buyuan Zhang China
Yi Song China
Andrés Honrubia‐Escribano Spain
Tak Hur relative to Scott Kennedy United States Scott Kennedy's profile →
Citations per field
00.5×3.1×
Scott Kennedy · 1×
Citations per year

Countries citing papers authored by Tak Hur

Since Specialization
Citations

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

Fields of papers citing papers by Tak Hur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantum convolutional neural network for classical data classification
Hit paper breakdown →
2022185
2 200499
3 200597
4 200387
5 201477
6 201171
7 200969
8 201060
9 201359
10 200339
11 200734
12 201031
13 201225
14 201219
15 200916
16
Life Cycle Assessment on End-of-Life Vehicle Treatment System in Korea
200715
17 200915
18 202111
19 200310
20 20039

About Tak Hur

Tak Hur is a scholar working on Industrial and Manufacturing Engineering, Environmental Engineering, Electrical and Electronic Engineering, Strategy and Management and Mechanical Engineering, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recycling and Waste Management Techniques (15 papers), Environmental Impact and Sustainability (11 papers), Sustainable Supply Chain Management (8 papers), Sustainable Industrial Ecology (6 papers), Extraction and Separation Processes (5 papers), Metallurgy and Material Science (4 papers), Quantum Information and Cryptography (4 papers) and Quantum Computing Algorithms and Architecture (4 papers). The work is most often cited by research in Environmental Engineering (414 citations), Energy Engineering and Power Technology (90 citations), Industrial and Manufacturing Engineering (218 citations), Strategy and Management (192 citations) and Pollution (147 citations). Tak Hur has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyounghoon Cha, Daniel K. Park, Ryōichi Yamamoto, Eunsun Kwon, Vasilis Fthenakis, Jiyong Lee, Hang‐Sik Shin, Su‐Yol Lee, Seok Jin Hong and Tae Won Lim. Their work appears in journals such as Resources Conservation and Recycling, The International Journal of Life Cycle Assessment, International Journal of Hydrogen Energy, Journal of Cleaner Production and Solar Energy.

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.

Explore authors with similar magnitude of impact