Jonghoon Jin

912 total citations
10 papers, 384 citations indexed

About

Jonghoon Jin is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jonghoon Jin has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Jonghoon Jin's work include Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and CCD and CMOS Imaging Sensors (2 papers). Jonghoon Jin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers) and CCD and CMOS Imaging Sensors (2 papers). Jonghoon Jin collaborates with scholars based in United States and Australia. Jonghoon Jin's co-authors include Eugenio Culurciello, Ayşegül Dündar, Berin Martini, Vinayak Gokhale, Clément Farabet, Masafumi OKADA, Jin‐Sung Kim and T.D. Gedeon and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, arXiv (Cornell University) and International Conference on Learning Representations.

In The Last Decade

Jonghoon Jin

9 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonghoon Jin United States	6	286	226	111	56	21	10	384
Ayşegül Dündar United States	11	384 1.3×	227 1.0×	137 1.2×	56 1.0×	23 1.1×	24	519
Haruyoshi Yonekawa Japan	9	238 0.8×	292 1.3×	113 1.0×	41 0.7×	20 1.0×	11	408
Junbin Wang China	6	329 1.2×	277 1.2×	153 1.4×	53 0.9×	30 1.4×	8	487
Vinayak Gokhale United States	4	239 0.8×	225 1.0×	93 0.8×	67 1.2×	15 0.7×	5	323
Matthieu Courbariaux Canada	3	311 1.1×	167 0.7×	219 2.0×	38 0.7×	19 0.9×	4	436
Tuan Nghia Nguyen South Korea	3	230 0.8×	193 0.9×	77 0.7×	28 0.5×	16 0.8×	10	360
Andre Guntoro Germany	10	133 0.5×	278 1.2×	127 1.1×	62 1.1×	21 1.0×	40	405
Roel Uytterhoeven Belgium	5	201 0.7×	320 1.4×	99 0.9×	80 1.4×	29 1.4×	7	407
Nicholas J. Fraser Australia	7	187 0.7×	198 0.9×	138 1.2×	72 1.3×	41 2.0×	18	374
Shixuan Zheng China	7	167 0.6×	275 1.2×	146 1.3×	83 1.5×	31 1.5×	8	415

Countries citing papers authored by Jonghoon Jin

Since Specialization

Citations

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

Fields of papers citing papers by Jonghoon Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonghoon Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonghoon Jin. A scholar is included among the top collaborators of Jonghoon Jin 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 Jonghoon Jin. Jonghoon Jin 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:

10 of 10 papers shown

1.

Kim, Jin‐Sung, et al.. (2021). System Safety Application for the Weapon System. Journal of Society of Korea Industrial and Systems Engineering. 44(4). 106–112.

2.

Dündar, Ayşegül, Jonghoon Jin, Berin Martini, & Eugenio Culurciello. (2016). Embedded Streaming Deep Neural Networks Accelerator With Applications. IEEE Transactions on Neural Networks and Learning Systems. 28(7). 1572–1583. 82 indexed citations

3.

Jin, Jonghoon & Masafumi OKADA. (2015). 2P1-N06 Human-error Analysis for Robust Trajectory Design. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2015(0). _2P1–N06_1. 1 indexed citations

4.

Jin, Jonghoon, Ayşegül Dündar, & Eugenio Culurciello. (2014). Flattened Convolutional Neural Networks for Feedforward Acceleration. International Conference on Learning Representations. 15 indexed citations

5.

Dündar, Ayşegül, Jonghoon Jin, Vinayak Gokhale, Berin Martini, & Eugenio Culurciello. (2014). Memory access optimized routing scheme for deep networks on a mobile coprocessor. 18 indexed citations

6.

Gokhale, Vinayak, Jonghoon Jin, Ayşegül Dündar, Berin Martini, & Eugenio Culurciello. (2014). A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks. 696–701. 217 indexed citations

7.

Jin, Jonghoon, et al.. (2014). An efficient implementation of deep convolutional neural networks on a mobile coprocessor. 133–136. 27 indexed citations

8.

Jin, Jonghoon, et al.. (2013). Tracking with deep neural networks. 1–5. 22 indexed citations

9.

Dündar, Ayşegül, Jonghoon Jin, & Eugenio Culurciello. (2012). Visual Tracking with Similarity Matching Ratio. arXiv (Cornell University). 280–285. 1 indexed citations

10.

Gedeon, T.D., et al.. (2002). A comparison of some connectionist compression schemes. 1. 283–288. 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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