Chang‐Sung Jeong

901 total citations
69 papers, 535 citations indexed

About

Chang‐Sung Jeong is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Chang‐Sung Jeong has authored 69 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 22 papers in Computer Networks and Communications and 17 papers in Information Systems. Recurrent topics in Chang‐Sung Jeong's work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Vision and Imaging (7 papers) and Topic Modeling (6 papers). Chang‐Sung Jeong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Advanced Vision and Imaging (7 papers) and Topic Modeling (6 papers). Chang‐Sung Jeong collaborates with scholars based in South Korea, United States and Japan. Chang‐Sung Jeong's co-authors include Seonghan Kim, PooGyeon Park, Jin-Hyung Park, Alex Pang, Myung Ho Kim, D. T. Lee, Nam‐Won Kim, Seungmin Rho, Yongsung Kim and Sangwon Jung and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition Letters.

In The Last Decade

Chang‐Sung Jeong

63 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chang‐Sung Jeong South Korea	12	219	166	97	94	86	69	535
Sangwoo Moon United States	12	225 1.0×	265 1.6×	204 2.1×	38 0.4×	82 1.0×	43	644
Ching-Kuang Shene United States	14	252 1.2×	62 0.4×	82 0.8×	66 0.7×	39 0.5×	76	643
Wenwen Gong China	10	141 0.6×	178 1.1×	201 2.1×	182 1.9×	19 0.2×	21	543
Mingxuan Sun United States	14	219 1.0×	132 0.8×	205 2.1×	144 1.5×	13 0.2×	53	659
Tian Xia United States	11	224 1.0×	158 1.0×	132 1.4×	58 0.6×	31 0.4×	35	656
Chenglong Wang China	14	316 1.4×	78 0.5×	378 3.9×	139 1.5×	13 0.2×	36	811
D.H.C. Du United States	15	128 0.6×	593 3.6×	56 0.6×	48 0.5×	74 0.9×	48	934
Atul Negi India	15	368 1.7×	376 2.3×	246 2.5×	193 2.1×	27 0.3×	119	941
Bernard Tourancheau France	18	130 0.6×	575 3.5×	87 0.9×	233 2.5×	40 0.5×	62	1.1k
Michael Laszlo United States	9	155 0.7×	33 0.2×	345 3.6×	88 0.9×	19 0.2×	21	637

Countries citing papers authored by Chang‐Sung Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Chang‐Sung Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Sung Jeong. 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 Chang‐Sung Jeong. The network helps show where Chang‐Sung Jeong may publish in the future.

Co-authorship network of co-authors of Chang‐Sung Jeong

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

All Works

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20 of 20 papers shown

Jeong, Chang‐Sung, et al.. (2023). F-ALBERT: A Distilled Model from a Two-Time Distillation System for Reduced Computational Complexity in ALBERT Model. Applied Sciences. 13(17). 9530–9530. 1 indexed citations

Park, Jin‐Soo, et al.. (2020). Distributed deep learning platform for pedestrian detection on IT convergence environment. The Journal of Supercomputing. 76(7). 5460–5485. 3 indexed citations

Jeong, Chang‐Sung, et al.. (2019). Natural Language Contents Evaluation System for Detecting Fake News using Deep Learning. 289–292. 15 indexed citations

Lee, Se-Il, et al.. (2018). TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters. IEEE Access. 6. 27671–27680. 6 indexed citations

Kim, Nam‐Won, et al.. (2018). FAMOUS: Fake News Detection Model Based on Unified Key Sentence Information. 521. 617–620. 8 indexed citations

Jeong, Chang‐Sung, et al.. (2017). Large Scale Image Processing in Real-Time Environments with Kafka. 9 indexed citations

Kim, Ki‐Hyun, et al.. (2014). Fireworks Modeling Technique based on Particle Tracking. Journal of the Institute of Electronics and Information Engineers. 51(6). 102–109.

Jeong, Chang‐Sung, et al.. (2014). New promotional video technique utilizing augmented reality and popcode. Multimedia Tools and Applications. 75(23). 15311–15326. 7 indexed citations

Rho, Seungmin, et al.. (2013). Real‐time robust 3D object tracking and estimation for surveillance system. Security and Communication Networks. 7(10). 1599–1611. 7 indexed citations

10.

Park, Jin-Hyung, et al.. (2012). Multiple 3D object position estimation and tracking using double filtering on multi-core processor. Multimedia Tools and Applications. 63(1). 161–180. 3 indexed citations

11.

Choi, Ki‐Young, et al.. (2012). CPU-based speed acceleration techniques for shear warp volume rendering. Multimedia Tools and Applications. 64(2). 309–329. 1 indexed citations

12.

Kim, Seonghan, PooGyeon Park, & Chang‐Sung Jeong. (2010). Robust ℋ _∞ stabilisation of networked control systems with packet analyser. IET Control Theory and Applications. 4(9). 1828–1837. 108 indexed citations

13.

Ryu, Eun‐Seok, et al.. (2009). Content-aware and network-adaptive video streaming of a ubiquitous middleware. 2. 1458–1461. 1 indexed citations

14.

Park, Jin-Hyung & Chang‐Sung Jeong. (2008). Real-Time Signal Light Detection. 139–142. 32 indexed citations

15.

Choi, Ki‐Young, et al.. (2008). A Framework for multisensor image fusion using graphics hardware. International Conference on Information Fusion. 1–5. 1 indexed citations

16.

Kim, Hyung‐Lae, et al.. (2008). Grid Resource Management System and Semantic Information System. 1459. 1666–1671. 2 indexed citations

17.

Choi, Ki‐Young, et al.. (2008). Fast image registration for multisensor fusion using graphics hardware. 321–325. 1 indexed citations

18.

Jeong, Chang‐Sung, et al.. (2007). SOA based BPIL workflow system to support multi integration. Journal of IKEEE. 11(4). 283–292. 1 indexed citations

19.

Jeong, Chang‐Sung, et al.. (2006). A straight line detection using principal component analysis. Pattern Recognition Letters. 27(14). 1744–1754. 61 indexed citations

20.

Jeong, Chang‐Sung, et al.. (1987). Parallel geometric algorithms on mesh-connected computers. 311–318. 12 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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