Dong-Jun Han

478 total citations
37 papers, 237 citations indexed

About

Dong-Jun Han is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Dong-Jun Han has authored 37 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Electrical and Electronic Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Dong-Jun Han's work include Privacy-Preserving Technologies in Data (16 papers), Stochastic Gradient Optimization Techniques (6 papers) and Wireless Communication Security Techniques (4 papers). Dong-Jun Han is often cited by papers focused on Privacy-Preserving Technologies in Data (16 papers), Stochastic Gradient Optimization Techniques (6 papers) and Wireless Communication Security Techniques (4 papers). Dong-Jun Han collaborates with scholars based in South Korea, United States and China. Dong-Jun Han's co-authors include Jaekyun Moon, Minseok Choi, Christopher G. Brinton, Jy-yong Sohn, Mung Chiang, Minseok Choi, Seyyedali Hosseinalipour, David J. Love, Shujie Wang and Wei Koong Chai and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Dong-Jun Han

31 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong-Jun Han South Korea 9 138 87 76 26 26 37 237
Saeed Vahidian United States 10 181 1.3× 111 1.3× 105 1.4× 29 1.1× 8 0.3× 18 310
Zehong Lin Hong Kong 7 118 0.9× 96 1.1× 87 1.1× 25 1.0× 13 0.5× 16 235
Mehdi Salehi Heydar Abad Türkiye 5 236 1.7× 132 1.5× 122 1.6× 26 1.0× 24 0.9× 10 309
Shangqing Zhao United States 8 158 1.1× 79 0.9× 67 0.9× 25 1.0× 10 0.4× 26 247
Xixiang Lv China 9 130 0.9× 146 1.7× 48 0.6× 123 4.7× 13 0.5× 24 251
Yinlong Liu China 11 79 0.6× 239 2.7× 78 1.0× 29 1.1× 49 1.9× 47 305
Baicen Xiao China 9 42 0.3× 67 0.8× 168 2.2× 10 0.4× 35 1.3× 10 242
Yi Ouyang United States 8 120 0.9× 176 2.0× 41 0.5× 29 1.1× 4 0.2× 14 240
Khalifa Toumi France 7 59 0.4× 91 1.0× 37 0.5× 120 4.6× 37 1.4× 12 173
Marin Bertier France 8 33 0.2× 182 2.1× 42 0.6× 35 1.3× 15 0.6× 23 215

Countries citing papers authored by Dong-Jun Han

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Jun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Jun Han. 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 Dong-Jun Han. The network helps show where Dong-Jun Han may publish in the future.

Co-authorship network of co-authors of Dong-Jun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Jun Han. A scholar is included among the top collaborators of Dong-Jun Han 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 Dong-Jun Han. Dong-Jun Han 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.
Yuan, Liangqi, Dong-Jun Han, Shiqiang Wang, & Christopher G. Brinton. (2025). Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. 201–210. 1 indexed citations
2.
Han, Dong-Jun, et al.. (2025). Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. IEEE Transactions on Audio Speech and Language Processing. 33. 1907–1921. 1 indexed citations
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Han, Dong-Jun, et al.. (2025). Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. Proceedings of the AAAI Conference on Artificial Intelligence. 39(15). 16064–16072. 1 indexed citations
6.
Yuan, Liangqi, et al.. (2024). FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. 287–292. 6 indexed citations
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8.
Han, Dong-Jun, et al.. (2024). Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11588–11596.
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Han, Dong-Jun, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, & Christopher G. Brinton. (2024). Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks. 2992–2997. 1 indexed citations
11.
Han, Dong-Jun, et al.. (2024). Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. IEEE Journal on Selected Areas in Communications. 42(12). 3505–3520. 4 indexed citations
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Han, Dong-Jun, et al.. (2023). Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16927–16935.
14.
Han, Dong-Jun, et al.. (2023). Small Objects Recognition by Exploiting an Improved YOLOv5 Algorithm on the UAV Platform. 193–198. 3 indexed citations
15.
Han, Dong-Jun, et al.. (2021). Sageflow: Robust Federated Learning against Both Stragglers and Adversaries. Neural Information Processing Systems. 34. 26 indexed citations
16.
Park, Young-Hyun, et al.. (2021). Few-Round Learning for Federated Learning. neural information processing systems. 34. 4 indexed citations
17.
Han, Dong-Jun, et al.. (2021). FedMes: Speeding Up Federated Learning With Multiple Edge Servers. IEEE Journal on Selected Areas in Communications. 39(12). 3870–3885. 34 indexed citations
18.
Sohn, Jy-yong, et al.. (2020). Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. arXiv (Cornell University). 33. 14615–14625. 7 indexed citations
19.
Sohn, Jy-yong, et al.. (2019). Scalable Network-Coded PBFT Consensus Algorithm. 857–861. 19 indexed citations
20.
Han, Dong-Jun, et al.. (2018). Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information. IEEE Transactions on Vehicular Technology. 67(9). 8959–8963. 4 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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2026