Jungchan Cho

567 total citations
33 papers, 388 citations indexed

About

Jungchan Cho is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Jungchan Cho has authored 33 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Jungchan Cho's work include Human Pose and Action Recognition (10 papers), Advanced Vision and Imaging (7 papers) and Video Surveillance and Tracking Methods (7 papers). Jungchan Cho is often cited by papers focused on Human Pose and Action Recognition (10 papers), Advanced Vision and Imaging (7 papers) and Video Surveillance and Tracking Methods (7 papers). Jungchan Cho collaborates with scholars based in South Korea, United States and United Kingdom. Jungchan Cho's co-authors include Songhwai Oh, Minsik Lee, Chong‐Ho Choi, Inhwan Hwang, Hyung Jin Chang, Kimin Yun, Jongyoul Park, Joohyung Lee, H. Vincent Poor and Go‐Eun Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Access.

In The Last Decade

Jungchan Cho

31 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jungchan Cho South Korea	11	260	73	53	52	49	33	388
Elliot J. Crowley United Kingdom	9	387 1.5×	116 1.6×	39 0.7×	51 1.0×	27 0.6×	18	484
Yuxuan Wei China	3	272 1.0×	90 1.2×	22 0.4×	21 0.4×	28 0.6×	5	386
Wei Tong China	13	315 1.2×	119 1.6×	43 0.8×	21 0.4×	28 0.6×	41	487
Benjamín Hernández Mexico	9	237 0.9×	44 0.6×	29 0.5×	32 0.6×	12 0.2×	27	375
Alexandrina Rogozan France	13	277 1.1×	150 2.1×	92 1.7×	17 0.3×	21 0.4×	46	522
Amir Gholaminejad United States	5	225 0.9×	126 1.7×	13 0.2×	27 0.5×	27 0.6×	6	361
Alexandre R. J. François United States	12	381 1.5×	77 1.1×	36 0.7×	56 1.1×	12 0.2×	29	452
Lars Bretzner Sweden	10	336 1.3×	44 0.6×	58 1.1×	66 1.3×	33 0.7×	15	515
Biying Fu Germany	10	218 0.8×	66 0.9×	17 0.3×	25 0.5×	89 1.8×	27	356

Countries citing papers authored by Jungchan Cho

Since Specialization

Citations

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

Fields of papers citing papers by Jungchan Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungchan Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jungchan Cho. A scholar is included among the top collaborators of Jungchan Cho 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 Jungchan Cho. Jungchan Cho 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

Lee, Joohyung, Jungchan Cho, & H. Vincent Poor. (2025). A Lyapunov Optimization Enabled Energy-Efficient Dynamic Cut Layer Control Mechanism. IEEE Wireless Communications Letters. 14(6). 1782–1786.

Cho, Jungchan, et al.. (2024). Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2795–2803. 7 indexed citations

Lee, Joohyung, et al.. (2024). Optimizing Privacy and Latency Tradeoffs in Split Federated Learning Over Wireless Networks. IEEE Wireless Communications Letters. 13(12). 3439–3443. 4 indexed citations

Lee, Joohyung, et al.. (2024). Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning. IEEE Network. 38(6). 388–395. 10 indexed citations

Lee, Go‐Eun, et al.. (2023). Shallow and reverse attention network for colon polyp segmentation. Scientific Reports. 13(1). 15243–15243. 9 indexed citations

Cho, Jungchan, et al.. (2022). Background-Aware Robust Context Learning for Weakly-Supervised Temporal Action Localization. IEEE Access. 10. 65315–65325. 2 indexed citations

Cho, Jungchan. (2021). Synthetic Source Universal Domain Adaptation through Contrastive Learning. Sensors. 21(22). 7539–7539. 3 indexed citations

Yun, Kimin, et al.. (2021). The Dataset and Baseline Models to Detect Human Postural States Robustly against Irregular Postures. 1–8. 3 indexed citations

Yun, Kimin, Jongyoul Park, & Jungchan Cho. (2020). Robust Human Pose Estimation for Rotation via Self-Supervised Learning. IEEE Access. 8. 32502–32517. 14 indexed citations

10.

Cho, Jungchan, et al.. (2020). Body-Part-Aware and Multitask-Aware Single-Image-Based Action Recognition. Applied Sciences. 10(4). 1531–1531. 7 indexed citations

11.

Cho, Jungchan, et al.. (2020). Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network. Sensors. 20(12). 3491–3491. 51 indexed citations

12.

Lee, Minsik, et al.. (2019). Deep pose consensus networks. Computer Vision and Image Understanding. 182. 64–70. 4 indexed citations

13.

Lee, Minsik, et al.. (2018). Non-rigid surface recovery with a robust local-rigidity prior. Pattern Recognition Letters. 110. 51–57. 4 indexed citations

14.

Cho, Jungchan, Minsik Lee, & Songhwai Oh. (2016). Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation. Computer Vision and Image Understanding. 155. 150–161. 4 indexed citations

15.

Lee, Minsik, Jungchan Cho, & Songhwai Oh. (2016). Procrustean Normal Distribution for Non-Rigid Structure from Motion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(7). 1388–1400. 9 indexed citations

16.

Cho, Jungchan, Inhwan Hwang, & Songhwai Oh. (2015). VibePhone: efficient surface recognition for smartphones using vibration. Pattern Analysis and Applications. 19(1). 251–265. 3 indexed citations

17.

Hwang, Inhwan, Jungchan Cho, & Songhwai Oh. (2014). VibeComm: Radio-Free Wireless Communication for Smart Devices Using Vibration. Sensors. 14(11). 21151–21173. 6 indexed citations

18.

Chang, Hyung Jin, Jiyun Kim, Jungchan Cho, et al.. (2013). Action Chart: A Representation for Efficient Recognition of Complex Activity. 81.1–81.11. 1 indexed citations

19.

Hwang, Inhwan, Jungchan Cho, & Songhwai Oh. (2012). Privacy-Aware Communication for Smartphones Using Vibration. 447–452. 23 indexed citations

20.

Cho, Jungchan, Inhwan Hwang, & Songhwai Oh. (2012). Vibration-Based Surface Recognition for Smartphones. 459–464. 15 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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