Jun Han

78 papers receiving 1.3k citations

Jun Han's Hit Papers

ACCessory 2012 · 263 citations
2630+4+9Years since publication50100150200250

Peers

Jun Han
Comparison fields: 5 of 117
  • Signal Processing 413
  • Information Systems 371
  • Computer Vision and Pattern Recognition 274
  • Computer Science Applications 66
  • Human-Computer Interaction 60
Replace Yi‐Chao Chen with:
Yi‐Chao Chen China
Lei Xie China
Wenchao Huang China
Yanchao Zhao China
Chao Cai China
Yu Gu China
Suhas Mathur United States
Kanchana Thilakarathna Australia
Chenhan Xu United States
Jun Han relative to Yi‐Chao Chen China Yi‐Chao Chen's profile →
Citations per field
00.5×1.6×
Yi‐Chao Chen · 1×
Citations per year

Countries citing papers authored by Jun Han

Since Specialization
Citations

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

Fields of papers citing papers by Jun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ACCessory
Hit paper breakdown →
2012263
2 2012119
3 202075
4 201868
5 202059
6 201651
7 201744
8 201742
9 201840
10 201336
11 201636
12 201733
13 200728
14 200728
15 201327
16
Cloud terminal: secure access to sensitive applications from untrusted systems
201223
17 201821
18 201820
19 201919
20 201515

About Jun Han

Jun Han is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include User Authentication and Security Systems (11 papers), Indoor and Outdoor Localization Technologies (9 papers), Advanced Malware Detection Techniques (8 papers), Ferroelectric and Piezoelectric Materials (7 papers), Anomaly Detection Techniques and Applications (6 papers), Digital Media Forensic Detection (6 papers), Video Surveillance and Tracking Methods (5 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Signal Processing (413 citations), Information Systems (371 citations), Computer Vision and Pattern Recognition (274 citations), Computer Science Applications (66 citations) and Human-Computer Interaction (60 citations). Jun Han has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Adrian Perrig, Emmanuel Owusu, Joy Zhang, Sauvik Das, Patrick Tague, Albert Jin Chung, Hae Young Noh, Le T. Nguyen, Pei Zhang and Shijia Pan. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Journal of Applied Polymer Science, ACM Transactions on Sensor Networks, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Scientific Reports.

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