Sa-Kwang Song

848 total citations
43 papers, 419 citations indexed

About

Sa-Kwang Song is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sa-Kwang Song has authored 43 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sa-Kwang Song's work include Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Sa-Kwang Song is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (7 papers) and Context-Aware Activity Recognition Systems (6 papers). Sa-Kwang Song collaborates with scholars based in South Korea, Switzerland and Australia. Sa-Kwang Song's co-authors include Hanmin Jung, Qixu Gong, Yuanzhu Chen, Zhangxi Lin, Tiejun Wang, Qing Li, Sung Hyon Myaeng, Jae‐Won Jang, Seungwoo Lee and Minho Kim and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Cybernetics.

In The Last Decade

Sa-Kwang Song

36 papers receiving 390 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sa-Kwang Song South Korea 11 114 101 92 84 64 43 419
Weijing Song China 12 99 0.9× 137 1.4× 116 1.3× 90 1.1× 31 0.5× 33 588
Deepak Kumar India 11 52 0.5× 75 0.7× 87 0.9× 43 0.5× 108 1.7× 51 456
Nan Zhu China 11 28 0.2× 47 0.5× 101 1.1× 101 1.2× 50 0.8× 37 474
Marcin Andrychowicz United States 6 86 0.8× 295 2.9× 74 0.8× 76 0.9× 26 0.4× 8 540
Wei Cui China 14 88 0.8× 83 0.8× 51 0.6× 178 2.1× 16 0.3× 51 487
Shreya Agrawal India 7 155 1.4× 57 0.6× 127 1.4× 35 0.4× 17 0.3× 14 331
Rita Tse Macao 13 41 0.4× 108 1.1× 35 0.4× 72 0.9× 18 0.3× 59 569
Fan Yu China 12 53 0.5× 175 1.7× 64 0.7× 87 1.0× 10 0.2× 48 431
Sibghat Ullah Bazai Pakistan 10 30 0.3× 88 0.9× 38 0.4× 68 0.8× 15 0.2× 42 442
Kunlun Qi China 14 149 1.3× 132 1.3× 91 1.0× 185 2.2× 13 0.2× 35 600

Countries citing papers authored by Sa-Kwang Song

Since Specialization
Citations

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

Fields of papers citing papers by Sa-Kwang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sa-Kwang Song. 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 Sa-Kwang Song. The network helps show where Sa-Kwang Song may publish in the future.

Co-authorship network of co-authors of Sa-Kwang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Sa-Kwang Song. A scholar is included among the top collaborators of Sa-Kwang Song 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 Sa-Kwang Song. Sa-Kwang Song 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
1.
Song, Sa-Kwang, et al.. (2021). Transaction Pattern Discrimination of Malicious Supply Chain using Tariff-Structured Big Data. The Journal of the Korea Contents Association. 21(2). 121–129. 1 indexed citations
2.
Song, Sa-Kwang, et al.. (2020). Kick: Shift-N-Overlap Cascades of Transposed Convolutional Layer for Better Autoencoding Reconstruction on Remote Sensing Imagery. IEEE Access. 8. 107244–107259. 6 indexed citations
3.
Kim, Hak Gu, et al.. (2019). MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network. IEEE Transactions on Geoscience and Remote Sensing. 58(3). 2212–2224. 17 indexed citations
4.
Shin, Sung-Ho, Mikyoung Lee, & Sa-Kwang Song. (2018). A Prediction Model for Agricultural Products Price with LSTM Network. The Journal of the Korea Contents Association. 18(11). 416–429. 12 indexed citations
5.
Song, Sa-Kwang, et al.. (2017). An Efficient Damage Information Extraction from Government Disaster Reports. Journal of Internet Computing and services. 18(6). 55–63. 1 indexed citations
6.
Song, Sa-Kwang, et al.. (2017). Water Level Forecasting based on Deep Learning : A Use Case of Trinity River-Texas-The United States. Journal of KIISE. 44(6). 607–612. 26 indexed citations
7.
Lee, Mikyoung, et al.. (2017). BAIPAS: Distributed Deep Learning Platform with Data Locality and Shuffling. 45. 5–8. 5 indexed citations
8.
Lee, Seungwoo, et al.. (2016). Semantic complex event processing model for reasoning research activities. Neurocomputing. 209. 39–45. 3 indexed citations
9.
Hwang, Myunggwon, et al.. (2015). Acronym-Expansion Disambiguation for Intelligent Processing of Enterprise Information. Computing and Informatics / Computers and Artificial Intelligence. 33(3). 503–517. 2 indexed citations
10.
Song, Sa-Kwang, et al.. (2015). Matrix Completion for Storm Damages Prediction.. International Semantic Web Conference.
11.
Kim, Tae‐Hong, et al.. (2014). Translation of technical terminologies between English and Korean based on textual big data. Software Practice and Experience. 45(8). 1115–1126.
12.
Li, Qing, Tiejun Wang, Qixu Gong, et al.. (2014). Media-aware quantitative trading based on public Web information. Decision Support Systems. 61. 93–105. 57 indexed citations
13.
Hwang, Myunggwon, et al.. (2013). Intelligent Research Performance Appraisal Model Based on Internal/Environmental Evaluation Features. 1. 1059–1065. 1 indexed citations
14.
Hwang, Myunggwon, et al.. (2013). Activity inference for constructing user intention model. Computer Science and Information Systems. 10(2). 767–778. 3 indexed citations
15.
Song, Sa-Kwang, et al.. (2012). Procedural Knowledge Extraction on Medical Documents. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 18(2). 123–127.
16.
Hwang, Myunggwon, et al.. (2012). Similarity Measurement between Objects and Activities for User Intention Modeling. 5. 103–107. 1 indexed citations
17.
Choi, Yunsoo, et al.. (2011). Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure. Journal of Internet Computing and services. 12(5). 73–85. 2 indexed citations
18.
Song, Sa-Kwang, et al.. (2009). Dynamic activity classification based on automatic adaptation of postural orientation. PubMed. 18. 6175–6178. 4 indexed citations
19.
Kim, Minho, et al.. (2008). A novel system for inferring activities of daily living in smart home. 93–98.
20.
Song, Sa-Kwang, Jae‐Won Jang, & Soojun Park. (2008). A Phone for Human Activity Recognition Using Triaxial Acceleration Sensor. 1–2. 22 indexed citations

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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