Sung-Bae Cho

3.9k total citations · 1 hit paper
83 papers, 2.6k citations indexed

About

Sung-Bae Cho is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sung-Bae Cho has authored 83 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 34 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Sung-Bae Cho's work include Context-Aware Activity Recognition Systems (11 papers), Evolutionary Algorithms and Applications (9 papers) and Neural Networks and Applications (6 papers). Sung-Bae Cho is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Evolutionary Algorithms and Applications (9 papers) and Neural Networks and Applications (6 papers). Sung-Bae Cho collaborates with scholars based in South Korea, India and Japan. Sung-Bae Cho's co-authors include Tae Young Kim, J.H. Kim, Charissa Ann Ronao, Seok-Jun Bu, Jin Young Kim, Sang‐Jun Han, Jooyoung Lee, Han-Saem Park, Jin-Hyuk Hong and Satchidananda Dehuri and has published in prestigious journals such as Energy, Sensors and Pattern Recognition.

In The Last Decade

Sung-Bae Cho

78 papers receiving 2.5k citations

Hit Papers

Predicting residential energy consumption using CNN-LSTM ... 2019 2026 2021 2023 2019 250 500 750 1000

Peers

Sung-Bae Cho
Comparison fields: 5 of 154
  • Artificial Intelligence 904
  • Electrical and Electronic Engineering 884
  • Computer Vision and Pattern Recognition 582
  • Building and Construction 389
  • Computer Networks and Communications 306
Replace Katarina Grolinger with:
Katarina Grolinger Canada
Tanveer Hussain South Korea
Musaed Alhussein Saudi Arabia
Miriam A. M. Capretz Canada
Yongjun Xu China
Yassine Himeur United Arab Emirates
Mariette Awad Lebanon
Flora D. Salim Australia
Haoyi Xiong China
Rongfang Bie China
Katarina Grolinger Canada View profile →
Citations per field, relative to Sung-Bae Cho
Sung-Bae Cho · 1×
Citations per year, relative to Sung-Bae Cho
Sung-Bae Cho · 1×

Countries citing papers authored by Sung-Bae Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Bae Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung-Bae Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Bae Cho. A scholar is included among the top collaborators of Sung-Bae 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 Sung-Bae Cho. Sung-Bae 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
# Work Indexed citations
1 1
2 2
3 0
4 0
5 27
6 25
7 5
8 2
9 21
10 13
11 17
12 2
13 13
14 21
15 9
16 1
17 97
18 2
19 15
20 6

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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