Sung Jun Park

513 total citations
17 papers, 391 citations indexed

About

Sung Jun Park is a scholar working on Safety Research, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Sung Jun Park has authored 17 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Safety Research, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Materials Chemistry. Recurrent topics in Sung Jun Park's work include Forensic Fingerprint Detection Methods (5 papers), Luminescence and Fluorescent Materials (4 papers) and Luminescence Properties of Advanced Materials (3 papers). Sung Jun Park is often cited by papers focused on Forensic Fingerprint Detection Methods (5 papers), Luminescence and Fluorescent Materials (4 papers) and Luminescence Properties of Advanced Materials (3 papers). Sung Jun Park collaborates with scholars based in South Korea. Sung Jun Park's co-authors include Hyun Kyoung Yang, Jin Young Park, Jong Won Chung, Minseok Kwak, Ji Yoon Kim, Jae Won Jang, Joong-Hwan Baek, Byungkyu Kim, Jeong Tai Kim and Hyun‐Soo Lee and has published in prestigious journals such as Polymer, IEEE Access and Energy.

In The Last Decade

Sung Jun Park

14 papers receiving 382 citations

Peers

Sung Jun Park
Sung Jun Park
Citations per year, relative to Sung Jun Park Sung Jun Park (= 1×) peers Hsin‐Hao Chiu

Countries citing papers authored by Sung Jun Park

Since Specialization
Citations

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

Fields of papers citing papers by Sung Jun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Jun Park

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

All Works

17 of 17 papers shown
2.
Park, Sung Jun & Seok Pil Jang. (2024). Theoretical and experimental analysis of evaporative cooling with hydrophilic screen mesh on condenser surface. Energy. 306. 132422–132422. 1 indexed citations
3.
Park, Sung Jun, et al.. (2022). Self-Supervised Monocular Depth Estimation Using Hybrid Transformer Encoder. IEEE Sensors Journal. 22(19). 18762–18770. 18 indexed citations
4.
Park, Sung Jun, et al.. (2022). Object Tracking Using Siamese Network-Based Reinforcement Learning. IEEE Access. 10. 63339–63352. 3 indexed citations
5.
Park, Sung Jun, Seung-Hyun Cho, Hee Won Seo, Jae‐Do Nam, & Jonghwan Suhr. (2021). Natural cork agglomerate enabled mechanically robust rigid polyurethane foams with outstanding viscoelastic damping properties. Polymer. 217. 123437–123437. 17 indexed citations
6.
Park, Jin Young, Jong Won Chung, Sung Jun Park, & Hyun Kyoung Yang. (2020). Versatile fluorescent CaGdAlO4:Eu3+ red phosphor for latent fingerprints detection. Journal of Alloys and Compounds. 824. 153994–153994. 94 indexed citations
8.
Park, Sung Jun, et al.. (2019). Green and red emitting YBO3:Ln3+ (Ln=Eu, Tb) phosphors for detection of latent fingerprint. Journal of Alloys and Compounds. 789. 367–374. 44 indexed citations
9.
Park, Sung Jun & Ki Young Park. (2018). Can investors profit from security analyst recommendations?: New evidence on the value of consensus recommendations. Finance research letters. 30. 403–413. 6 indexed citations
10.
Park, Sung Jun, Jin Young Park, & Hyun Kyoung Yang. (2018). Luminescence of a novel cyan emitting Sr10(PO4)6O:Ce3+ phosphor for visualization of latent fingerprints and anti-counterfeiting applications. Sensors and Actuators B Chemical. 262. 542–554. 76 indexed citations
11.
Park, Sung Jun, et al.. (2018). The effective fingerprint detection application using Gd2Ti2O7:Eu3+ nanophosphors. Journal of Alloys and Compounds. 741. 246–255. 50 indexed citations
12.
Park, Jin Young, Sung Jun Park, Minseok Kwak, & Hyun Kyoung Yang. (2018). Rapid visualization of latent fingerprints with Eu-doped La2Ti2O7. Journal of Luminescence. 201. 275–283. 55 indexed citations
13.
Park, Sung Jun, et al.. (2012). Deducing Behavioural Patterns of Elderly People to Improve Smart Home Services. 1 indexed citations
14.
Lee, Hyun‐Soo, et al.. (2012). The Service Pattern-Oriented Smart Bedroom Based on Elderly Spatial Behaviour Patterns. Indoor and Built Environment. 22(1). 299–308. 18 indexed citations
15.
Lee, Hyun‐Soo, et al.. (2012). Scenario-Based Smart Services for Single-Person Households. Indoor and Built Environment. 22(1). 309–318. 5 indexed citations
16.
Park, Sung Jun, et al.. (2002). A probabilistic encryption using very high residuosity and its applications. 2. 1179–1182. 2 indexed citations
17.
Park, Sung Jun, et al.. (1995). A Practical Identity-based Group Signature. ICEIC : International Conference on Electronics, Informations and Communications. 64–67. 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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