Daihee Park

1.4k total citations
64 papers, 1.1k citations indexed

About

Daihee Park is a scholar working on Computer Vision and Pattern Recognition, Small Animals and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daihee Park has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 21 papers in Small Animals and 18 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daihee Park's work include Animal Behavior and Welfare Studies (21 papers), Industrial Vision Systems and Defect Detection (18 papers) and Video Surveillance and Tracking Methods (17 papers). Daihee Park is often cited by papers focused on Animal Behavior and Welfare Studies (21 papers), Industrial Vision Systems and Defect Detection (18 papers) and Video Surveillance and Tracking Methods (17 papers). Daihee Park collaborates with scholars based in South Korea, China and United States. Daihee Park's co-authors include Yongwha Chung, Jonguk Lee, Hansung Lee, Long Jin, Hong-Hee Chang, Sung-Ju Lee, Jaehak Yu, Hee‐Young Kim, Myung‐Sup Kim and Suk Kim and has published in prestigious journals such as IEEE Access, Sensors and Electronics Letters.

In The Last Decade

Daihee Park

57 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daihee Park South Korea 18 430 254 228 204 148 64 1.1k
Yongwha Chung South Korea 21 420 1.0× 407 1.6× 220 1.0× 205 1.0× 224 1.5× 128 1.6k
He Kong China 17 150 0.3× 197 0.8× 108 0.5× 177 0.9× 49 0.3× 79 972
Lyndon Smith United Kingdom 26 232 0.5× 603 2.4× 148 0.6× 143 0.7× 46 0.3× 115 2.1k
Daobilige Su Australia 16 147 0.3× 191 0.8× 106 0.5× 181 0.9× 56 0.4× 39 801
Jonguk Lee South Korea 11 205 0.5× 78 0.3× 130 0.6× 85 0.4× 68 0.5× 45 753
Leifeng Guo China 17 231 0.5× 230 0.9× 187 0.8× 204 1.0× 21 0.1× 61 1.0k
Yangyang Guo China 19 195 0.5× 338 1.3× 186 0.8× 111 0.5× 33 0.2× 69 932
Thi Thi Zin Japan 15 197 0.5× 404 1.6× 147 0.6× 177 0.9× 28 0.2× 133 881
Henrik Karstoft Denmark 17 115 0.3× 214 0.8× 71 0.3× 103 0.5× 32 0.2× 48 1.0k
Christos Tachtatzis United Kingdom 23 142 0.3× 81 0.3× 136 0.6× 89 0.4× 294 2.0× 96 1.8k

Countries citing papers authored by Daihee Park

Since Specialization
Citations

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

Fields of papers citing papers by Daihee Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daihee Park

This figure shows the co-authorship network connecting the top 25 collaborators of Daihee Park. A scholar is included among the top collaborators of Daihee Park 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 Daihee Park. Daihee Park 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.
Lee, Jonguk, et al.. (2024). Pattern Mining-Based Pig Behavior Analysis for Health and Welfare Monitoring. Sensors. 24(7). 2185–2185. 5 indexed citations
2.
Chung, Yongwha, et al.. (2024). Novel Method for Detecting Coughing Pigs with Audio-Visual Multimodality for Smart Agriculture Monitoring. Sensors. 24(22). 7232–7232. 9 indexed citations
3.
Chung, Yongwha, et al.. (2023). EnsembleVehicleDet: Detection of Faraway Vehicles with Real-Time Consideration. Applied Sciences. 13(6). 3939–3939. 1 indexed citations
4.
Lee, Sung-Ju, et al.. (2023). SAFP-YOLO: Enhanced Object Detection Speed Using Spatial Attention-Based Filter Pruning. Applied Sciences. 13(20). 11237–11237. 1 indexed citations
5.
Lee, Jonguk, et al.. (2023). Behavior-Based Video Summarization System for Dog Health and Welfare Monitoring. Sensors. 23(6). 2892–2892. 2 indexed citations
6.
Kim, Heegon, et al.. (2021). EnsemblePigDet: Ensemble Deep Learning for Accurate Pig Detection. Applied Sciences. 11(12). 5577–5577. 20 indexed citations
7.
Lee, Jonguk, et al.. (2021). Cat Monitoring and Disease Diagnosis System based on Deep Learning. Journal of Korea Multimedia Society. 24(2). 233–244. 1 indexed citations
8.
Lee, Jonguk, et al.. (2020). Field-Applicable Pig Anomaly Detection System Using Vocalization for Embedded Board Implementations. Applied Sciences. 10(19). 6991–6991. 21 indexed citations
9.
Lee, Sung-Ju, et al.. (2019). Practical Monitoring of Undergrown Pigs for IoT-Based Large-Scale Smart Farm. IEEE Access. 7. 173796–173810. 36 indexed citations
10.
Lee, Jonguk, et al.. (2019). Enhanced Sound Signal Based Sound-Event Classification. KIPS Transactions on Software and Data Engineering. 8(5). 193–204. 1 indexed citations
11.
Chung, Yongwha, et al.. (2019). A YOLO-based Separation of Touching-Pigs for Smart Pig Farm Applications. 395–401. 13 indexed citations
12.
Lee, Jonguk, et al.. (2018). Sentiment Analysis of Foot-and-Mouth Disease Using Tweet Text-Mining Technique. KIPS Transactions on Software and Data Engineering. 7(11). 419–426. 1 indexed citations
13.
Lee, Jonguk, et al.. (2018). Noise-Robust Porcine Respiratory Diseases Classification Using Texture Analysis and CNN. KIPS Transactions on Software and Data Engineering. 7(3). 91–98. 2 indexed citations
14.
Chung, Yongwha, et al.. (2018). Resource-Efficient Pet Dog Sound Events Classification Using LSTM-FCN Based on Time-Series Data. Sensors. 18(11). 4019–4019. 20 indexed citations
15.
Chung, Yongwha, et al.. (2017). Segmentation of group-housed pigs using concave points and edge information. 8. 563–565. 5 indexed citations
16.
Lee, Jonguk, et al.. (2016). Fault Detection and Diagnosis of Railway Point Machines by Sound Analysis. Sensors. 16(4). 549–549. 107 indexed citations
17.
Kim, Heegon, et al.. (2015). Image Segmentation of Adjoining Pigs Using Spatio-Temporal Information. KIPS Transactions on Software and Data Engineering. 4(10). 473–478. 2 indexed citations
18.
Lee, Jonguk, et al.. (2012). Abnormal Sound Detection and Identification in Surveillance System. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 39(2). 144–152. 3 indexed citations
19.
Lee, Jonguk, et al.. (2011). Abnormal Crowd Behavior Detection via H.264 Compression and SVDD in Video Surveillance System. Information Security and Cryptology. 21(6). 183–190.
20.
Lee, Hansung, et al.. (2010). A News Video Mining based on Multi-modal Approach and Text Mining. 37(3). 127–136. 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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