Min-Hung Chen

844 total citations
13 papers, 375 citations indexed

About

Min-Hung Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Min-Hung Chen has authored 13 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Min-Hung Chen's work include Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Video Surveillance and Tracking Methods (3 papers). Min-Hung Chen is often cited by papers focused on Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Video Surveillance and Tracking Methods (3 papers). Min-Hung Chen collaborates with scholars based in United States, Taiwan and Netherlands. Min-Hung Chen's co-authors include Ghassan AlRegib, Zsolt Kira, Chih‐Yao Ma, Dogancan Temel, Ruxin Chen, Jian Zheng, Yen‐Yu Lin, Hong-Yuan Mark Liao, Baopu Li and Nick C. Tang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Signal Processing Image Communication and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Min-Hung Chen

12 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min-Hung Chen United States	7	321	192	65	29	27	13	375
Can Zhang China	13	444 1.4×	223 1.2×	77 1.2×	29 1.0×	21 0.8×	37	503
Le Yang China	11	432 1.3×	226 1.2×	49 0.8×	11 0.4×	21 0.8×	14	502
Alessio Mecca Italy	9	204 0.6×	100 0.5×	118 1.8×	39 1.3×	24 0.9×	17	353
Ming Shao United States	4	269 0.8×	134 0.7×	48 0.7×	27 0.9×	10 0.4×	7	323
Alain Crouzil France	13	318 1.0×	69 0.4×	45 0.7×	32 1.1×	32 1.2×	28	379
Alejandro Newell United States	8	371 1.2×	181 0.9×	33 0.5×	57 2.0×	17 0.6×	9	480
Fei Cheng China	7	289 0.9×	92 0.5×	107 1.6×	50 1.7×	10 0.4×	20	349
Guile Wu United Kingdom	10	342 1.1×	185 1.0×	71 1.1×	38 1.3×	15 0.6×	21	462
Evgeny Levinkov Germany	6	340 1.1×	126 0.7×	31 0.5×	29 1.0×	10 0.4×	6	387

Countries citing papers authored by Min-Hung Chen

Since Specialization

Citations

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

Fields of papers citing papers by Min-Hung Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Hung Chen. 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 Min-Hung Chen. The network helps show where Min-Hung Chen may publish in the future.

Co-authorship network of co-authors of Min-Hung Chen

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

All Works

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13 of 13 papers shown

1.

Huang, Jia-Hong, et al.. (2026). Conditional Modeling-Based Automatic Video Summarization. ACM Transactions on Multimedia Computing Communications and Applications. 22(3). 1–21.

2.

Wang, Chien-Yi, et al.. (2025). Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. 8764–8774. 1 indexed citations

3.

Chiu, Hsu-kuang, Chien-Yi Wang, Min-Hung Chen, & Stephen F. Smith. (2024). Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter. 18458–18464. 5 indexed citations

4.

Chen, Min-Hung, et al.. (2023). Frequency-Aware Self-Supervised Long-Tailed Learning. 963–972. 1 indexed citations

5.

Liu, Yu-Lun, et al.. (2023). Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction. 7 indexed citations

6.

Huang, Jia-Hong, Chao-Han Huck Yang, Pin‐Yu Chen, Min-Hung Chen, & Marcel Worring. (2023). Causalainer: Causal Explainer for Automatic Video Summarization. 2630–2636. 8 indexed citations

7.

Chang, Chih‐Jung, et al.. (2023). A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing. 1081–1091. 3 indexed citations

8.

Chen, Min-Hung, Baopu Li, Yingze Bao, & Ghassan AlRegib. (2020). Action Segmentation with Mixed Temporal Domain Adaptation. 594–603. 15 indexed citations

9.

Temel, Dogancan, Min-Hung Chen, & Ghassan AlRegib. (2019). Traffic Sign Detection Under Challenging Conditions: A Deeper Look into Performance Variations and Spectral Characteristics. IEEE Transactions on Intelligent Transportation Systems. 21(9). 3663–3673. 53 indexed citations

10.

Chen, Min-Hung, et al.. (2019). Temporal Attentive Alignment for Large-Scale Video Domain Adaptation. 6320–6329. 106 indexed citations

11.

Ma, Chih‐Yao, Min-Hung Chen, Zsolt Kira, & Ghassan AlRegib. (2018). TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition. Signal Processing Image Communication. 71. 76–87. 155 indexed citations

12.

Chen, Min-Hung, et al.. (2014). Depth estimation for hand-held light field cameras under low light conditions. 1–4. 1 indexed citations

13.

Lin, Yen‐Yu, et al.. (2014). Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras. 2617–2624. 20 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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