Sangrae Cho

1.1k citations
21 papers · 737 indexed · 1 hit paper · h-index 9
Topics
Biometric Identification and Security (9 papers)User Authentication and Security Systems (6 papers)Face recognition and analysis (6 papers)

In The Last Decade

Sangrae Cho

21 papers receiving 697 citations

Hit Papers

Managing IoT devices using blockchain platform20172026202020232017100200300400500

Peers

Sangrae Cho
Comparison fields: 5 of 61
  • Information Systems 583
  • Computer Networks and Communications 407
  • Artificial Intelligence 141
  • Computer Vision and Pattern Recognition 121
  • Signal Processing 105
Replace Qian Lin with:
Qian Lin China
Marco Conoscenti Italy
Nick Antonopoulos United Kingdom
Jiangshan Yu Australia
Nisha Malik Australia
Heon Y. Yeom South Korea
Patrick Bellot France
Umar Farooq Minhas United States
Carsten Rudolph Australia
Spyros Voulgaris Netherlands
Sangrae Cho relative to Qian Lin China Qian Lin's profile →
Citations per field
00.5×2.6×
Qian Lin · 1×
Citations per year

Countries citing papers authored by Sangrae Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sangrae Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangrae Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sangrae Cho. A scholar is included among the top collaborators of Sangrae Cho 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 Sangrae Cho. Sangrae Cho 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 1
2 1
3 10
4 13
5 8
6 15
7 1
8 5
9 1
10 18
11 9
12 5
13 11
14 5
15
Managing IoT devices using blockchain platformbreakdown →
584
16 7
17 2
18 2
19 2
20 36

About Sangrae Cho

Sangrae Cho is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 737 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), User Authentication and Security Systems (6 papers) and Face recognition and analysis (6 papers). The work is most often cited by research in Information Systems (583 citations), Computer Networks and Communications (407 citations) and Signal Processing (105 citations). Sangrae Cho has collaborated with scholars based in South Korea, Malaysia and United States. Frequent co-authors include Soohyung Kim, Seunghun Jin, Andrew Beng Jin Teoh, Dongwan Shin, Gail‐Joon Ahn, Zhe Jin, Xingbo Dong, Youngsam Kim, Seokjae Lim and Wonjun Kim. Their work appears in journals such as IEEE Access, Pattern Recognition and Information Sciences.

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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