Soo-Yeon Ji

745 citations
56 papers · 513 · h-index 11

Impact in

Papers in

Soo-Yeon Ji

54 papers receiving 488 citations

Peers

Soo-Yeon Ji
Comparison fields: 5 of 103
  • Computer Networks and Communications 179
  • Signal Processing 82
  • Artificial Intelligence 227
  • Health Information Management 20
  • Computer Vision and Pattern Recognition 77
Replace Haya Alaskar with:
Haya Alaskar Saudi Arabia
Jiangang Ma Australia
Muhammad Abul Hassan Pakistan
Saadullah Farooq Abbasi United Kingdom
Maria Valero United States
Hyun-Soo Choi South Korea
Oumaima Saidani Saudi Arabia
P. Varalakshmi India
Fehaid Alqahtani United Kingdom
Jinlong Ji United States
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Citations per field
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Citations per year

Countries citing papers authored by Soo-Yeon Ji

Since Specialization
Citations

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

Fields of papers citing papers by Soo-Yeon Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo-Yeon Ji. 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 Soo-Yeon Ji. The network helps show where Soo-Yeon Ji may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201577
2 201668
3 200958
4 200932
5 201230
6 200930
7 201224
8 202018
9 201516
10 201313
11 201010
12 202210
13 20189
14 20228
15 20147
16 20087
17 20157
18 20177
19 20146
20 20206

About Soo-Yeon Ji

Soo-Yeon Ji is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 56 papers that have together received 513 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Anomaly Detection Techniques and Applications (9 papers), Internet Traffic Analysis and Secure E-voting (8 papers), Non-Invasive Vital Sign Monitoring (7 papers), EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers), Data Visualization and Analytics (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computer Networks and Communications (179 citations), Signal Processing (82 citations), Artificial Intelligence (227 citations), Health Information Management (20 citations) and Computer Vision and Pattern Recognition (77 citations). Soo-Yeon Ji has collaborated with scholars based in United States, Norway and Ghana. Frequent co-authors include Dong Hyun Jeong, Kayvan Najarian, Kevin R. Ward, Rebecca Smith, Byunggu Yu, Wenan Chen, Toan Huynh, Claude Turner, Sharad Sharma and Charles Kamhoua. Their work appears in journals such as Applied Sciences, BMC Medical Informatics and Decision Making, Human-centric Computing and Information Sciences, Circulation and Journal of Network and Computer Applications.

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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