Sang-Woo Ban

610 total citations
36 papers, 343 citations indexed

About

Sang-Woo Ban is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sang-Woo Ban has authored 36 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Cognitive Neuroscience and 6 papers in Biomedical Engineering. Recurrent topics in Sang-Woo Ban's work include Visual Attention and Saliency Detection (18 papers), Visual perception and processing mechanisms (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sang-Woo Ban is often cited by papers focused on Visual Attention and Saliency Detection (18 papers), Visual perception and processing mechanisms (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Sang-Woo Ban collaborates with scholars based in South Korea and United States. Sang-Woo Ban's co-authors include Minho Lee, Dae-Sik Lee, Duk-Dong Lee, Sungmoon Jeong, Youn Tae Kim, Inwon Lee, Jeung-Soo Huh, Jun-Woo Lim, Hye-Jin Lee and Minho Lee and has published in prestigious journals such as Sensors, Sensors and Actuators B Chemical and Neurocomputing.

In The Last Decade

Sang-Woo Ban

34 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang-Woo Ban South Korea	10	118	107	102	57	51	36	343
Stephan Mühlbacher-Karrer Austria	12	39 0.3×	141 1.3×	91 0.9×	85 1.5×	16 0.3×	23	344
Abdulla Ayyad United Arab Emirates	12	68 0.6×	53 0.5×	70 0.7×	36 0.6×	14 0.3×	23	261
Kyungseo Park South Korea	13	80 0.7×	383 3.6×	190 1.9×	207 3.6×	67 1.3×	34	589
Yun Lin United States	11	65 0.6×	124 1.2×	40 0.4×	45 0.8×	14 0.3×	21	373
Youchang Kim South Korea	11	164 1.4×	130 1.2×	322 3.2×	19 0.3×	22 0.4×	27	477
Che Fai Yeong Malaysia	12	73 0.6×	128 1.2×	25 0.2×	53 0.9×	5 0.1×	61	369
Tee Hui Teo Singapore	13	42 0.4×	210 2.0×	355 3.5×	19 0.3×	8 0.2×	96	558
Young‐Dong Lee South Korea	9	130 1.1×	310 2.9×	110 1.1×	44 0.8×	5 0.1×	29	515
Philipp Mayer Switzerland	13	54 0.5×	128 1.2×	286 2.8×	29 0.5×	5 0.1×	41	472
Andrea Cirillo Italy	11	42 0.4×	213 2.0×	51 0.5×	137 2.4×	7 0.1×	28	460

Countries citing papers authored by Sang-Woo Ban

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Woo Ban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Woo Ban. 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 Sang-Woo Ban. The network helps show where Sang-Woo Ban may publish in the future.

Co-authorship network of co-authors of Sang-Woo Ban

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Woo Ban. A scholar is included among the top collaborators of Sang-Woo Ban 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 Sang-Woo Ban. Sang-Woo Ban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ban, Sang-Woo, et al.. (2025). MSFF-Net: Multi-Sensor Frequency-Domain Feature Fusion Network with Lightweight 1D CNN for Bearing Fault Diagnosis. Sensors. 25(14). 4348–4348. 4 indexed citations

Ban, Sang-Woo, et al.. (2023). Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset. Sensors. 23(6). 3157–3157. 36 indexed citations

Ban, Sang-Woo, et al.. (2016). Emergent Cardiac Anomaly Classification Using Cascaded Auto-associative Multilayer Perceptrons for Bio-healthcare Systems. International Journal of Bio-Science and Bio-Technology. 8(1). 351–362. 1 indexed citations

Ban, Sang-Woo, et al.. (2013). Top-down attention based on object representation and incremental memory for knowledge building and inference. Neural Networks. 46. 9–22. 1 indexed citations

Ban, Sang-Woo, et al.. (2011). Affective saliency map considering psychological distance. Neurocomputing. 74(11). 1916–1925. 8 indexed citations

Park, Hee-Soo, et al.. (2009). ECG pattern classification based on generic feature extraction. International Conference on Circuits. 21–24. 4 indexed citations

Ban, Sang-Woo, et al.. (2009). Self-Motivated Autonomous Robot With A Trainable Selective Attention Model. Intelligent Automation & Soft Computing. 15(2). 131–149.

Park, Hee-Soo, et al.. (2009). Out-of-band cooperative spectrum sensing in cognitive radio system of multiple spectrum bands. International Conference on Circuits. 1800(1). 31–34. 3 indexed citations

Lee, Minho, et al.. (2009). (2D)<sup>2</sup>PCA-ICA: A new approach for face representation and recognition. 2. 1792–1797. 1 indexed citations

10.

Jeong, Sungmoon, Sang-Woo Ban, & Minho Lee. (2008). Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment. Neural Networks. 21(10). 1420–1430. 33 indexed citations

11.

Yeo, Jiyoung, et al.. (2007). BIOLOGICALLY MOTIVATED INCREMENTAL OBJECT PERCEPTION BASED ON SELECTIVE ATTENTION. International Journal of Pattern Recognition and Artificial Intelligence. 21(8). 1293–1305. 8 indexed citations

12.

Ban, Sang-Woo, Inwon Lee, & Minho Lee. (2007). Dynamic visual selective attention model. Neurocomputing. 71(4-6). 853–856. 18 indexed citations

13.

Ban, Sang-Woo, et al.. (2006). Biologically Motivated Face Selective Attention System. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 2525. 4292–4298. 5 indexed citations

14.

Ban, Sang-Woo, et al.. (2005). Real time implementation of a selective attention model for the intelligent robot with autonomous mental development. 1309–1314 vol. 3. 7 indexed citations

15.

Lee, Dae-Sik, Sang-Woo Ban, Minho Lee, & Duk-Dong Lee. (2005). Micro gas sensor array with neural network for recognizing combustible leakage gases. IEEE Sensors Journal. 5(3). 530–536. 27 indexed citations

16.

Ban, Sang-Woo, et al.. (2005). Biologically motivated vergence control system using human-like selective attention model. Neurocomputing. 69(4-6). 537–558. 23 indexed citations

17.

Ban, Sang-Woo, Jang‐Kyoo Shin, & Minho Lee. (2004). Face detection using biologically motivated saliency map model. 1. 119–124. 4 indexed citations

18.

Lee, Dae-Sik, Duk-Dong Lee, Sang-Woo Ban, Minho Lee, & Youn Tae Kim. (2002). SnO/sub 2/ gas sensing array for combustible and explosive gas leakage recognition. IEEE Sensors Journal. 2(3). 140–149. 46 indexed citations

19.

Lee, Dae-Sik, et al.. (2000). Explosive gas recognition system using thick film sensor array and neural network. Sensors and Actuators B Chemical. 71(1-2). 90–98. 41 indexed citations

20.

Ban, Sang-Woo, et al.. (1999). Multiagent-Based Distance Learning Framework Using CORBA.. 6(11). 224–228. 1 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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