Jun Heo

54 papers receiving 526 citations

Peers

Jun Heo
Comparison fields: 5 of 87
  • Biochemistry 37
  • Computer Networks and Communications 108
  • Epidemiology 128
  • Complementary and alternative medicine 25
  • Immunology 55
Replace Yue Shang with:
Yue Shang China
Andrés J. Gonzalez Norway
Kuan‐Rong Lee Taiwan
Kazuhide Fukushima Japan
Mahfooz Alam India
Geon‐Woo Kim South Korea
Shih‐Ying Chen Taiwan
Sheng Sun China
Xiuzhen Chen China
Yulong Wei China
Jun Heo relative to Yue Shang China Yue Shang's profile →
Citations per field
00.5×2×3.4×
Yue Shang · 1×
Citations per year

Countries citing papers authored by Jun Heo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201370
2 201544
3 201344
4 200741
5 201333
6 201922
7 201420
8 201119
9 202118
10 201215
11 201315
12 200213
13 202413
14 202211
15 201611
16 201410
17 20109
18 20018
19 20208
20 20148

About Jun Heo

Jun Heo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 60 papers that have together received 543 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (23 papers), Quantum Information and Cryptography (17 papers), Influenza Virus Research Studies (11 papers), Advanced Wireless Communication Techniques (11 papers), Respiratory viral infections research (9 papers), Quantum Mechanics and Applications (9 papers), Wireless Communication Networks Research (7 papers) and Quantum-Dot Cellular Automata (7 papers). The work is most often cited by research in Biochemistry (37 citations), Computer Networks and Communications (108 citations), Epidemiology (128 citations), Complementary and alternative medicine (25 citations) and Immunology (55 citations). Jun Heo has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joon‐Yong Bae, Sangmoo Lee, Jin Il Kim, Sehee Park, Man‐Seong Park, Ilseob Lee, Sung‐il Kim, I.-M. Kim, K.M. Chugg and Mee Sook Park. Their work appears in journals such as Quantum Information Processing, The Journal of Microbiology, Scientific Reports, Biochemical and Biophysical Research Communications and IEEE Transactions on Consumer Electronics.

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