Yu-Chiang Frank Wang

6.8k total citations · 1 hit paper
153 papers, 3.9k citations indexed

About

Yu-Chiang Frank Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yu-Chiang Frank Wang has authored 153 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Computer Vision and Pattern Recognition, 57 papers in Artificial Intelligence and 23 papers in Computational Mechanics. Recurrent topics in Yu-Chiang Frank Wang's work include Domain Adaptation and Few-Shot Learning (36 papers), Advanced Vision and Imaging (25 papers) and Multimodal Machine Learning Applications (24 papers). Yu-Chiang Frank Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (36 papers), Advanced Vision and Imaging (25 papers) and Multimodal Machine Learning Applications (24 papers). Yu-Chiang Frank Wang collaborates with scholars based in Taiwan, United States and South Korea. Yu-Chiang Frank Wang's co-authors include Yi-Ren Yeh, De-An Huang, Chia-Po Wei, Yao-Hung Hubert Tsai, Min-Chun Yang, Yu-Jhe Li, Yen‐Cheng Liu, Zhihao Lin, Yan-Bo Lin and Yuh‐Jye Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Yu-Chiang Frank Wang

145 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

2020 163 citations Yu-Chiang Frank Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Chiang Frank Wang Taiwan	35	2.8k	1.3k	733	355	354	153	3.9k
Rogério Feris United States	33	3.6k 1.3×	1.9k 1.4×	517 0.7×	157 0.4×	240 0.7×	127	4.6k
Lizhuang Ma China	38	3.5k 1.2×	941 0.7×	709 1.0×	600 1.7×	388 1.1×	321	4.9k
Yuan Xie China	36	4.5k 1.6×	1.2k 0.9×	1.3k 1.7×	742 2.1×	199 0.6×	175	5.6k
Shiliang Pu China	33	2.9k 1.0×	1.8k 1.3×	358 0.5×	192 0.5×	298 0.8×	150	3.9k
Guanbin Li China	43	5.5k 1.9×	2.5k 1.8×	518 0.7×	209 0.6×	180 0.5×	192	7.4k
Zhiding Yu United States	23	4.1k 1.4×	1.6k 1.2×	365 0.5×	234 0.7×	838 2.4×	75	5.0k
Fan Zhu China	29	2.5k 0.9×	1.5k 1.1×	250 0.3×	382 1.1×	140 0.4×	76	3.7k
Changhu Wang China	29	3.6k 1.3×	1.3k 1.0×	538 0.7×	156 0.4×	333 0.9×	104	4.8k
Errui Ding China	37	4.3k 1.5×	1.2k 0.9×	682 0.9×	148 0.4×	264 0.7×	114	4.9k
Liwei Wang China	27	3.6k 1.3×	1.9k 1.4×	374 0.5×	208 0.6×	185 0.5×	81	4.7k

Countries citing papers authored by Yu-Chiang Frank Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Chiang Frank Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Chiang Frank Wang. 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 Yu-Chiang Frank Wang. The network helps show where Yu-Chiang Frank Wang may publish in the future.

Co-authorship network of co-authors of Yu-Chiang Frank Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Chiang Frank Wang. A scholar is included among the top collaborators of Yu-Chiang Frank Wang 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 Yu-Chiang Frank Wang. Yu-Chiang Frank Wang 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

Chen, Yen‐Chun, et al.. (2023). Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 579–587. 40 indexed citations

Yang, Fu-En, Yuan‐Hao Lee, Chia-Ching Lin, & Yu-Chiang Frank Wang. (2023). Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning. International Journal of Computer Vision. 131(6). 1331–1345. 12 indexed citations

Wang, Yu-Chiang Frank, et al.. (2023). Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning. IEEE Transactions on Image Processing. 32. 2481–2492. 7 indexed citations

Lin, Chia-Ching, et al.. (2021). Joint Feature Disentanglement and Hallucination for Few-Shot Image Classification. IEEE Transactions on Image Processing. 30. 9245–9258. 9 indexed citations

Yang, Fu-En, et al.. (2021). Adversarial Teacher-Student Representation Learning for Domain Generalization. Neural Information Processing Systems. 34. 17 indexed citations

Yeh, Yu-Ying, Yen‐Cheng Liu, Wei-Chen Chiu, & Yu-Chiang Frank Wang. (2020). Static2Dynamic: Video Inference From a Deep Glimpse. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(4). 440–449. 4 indexed citations

Wang, Yu-Chiang Frank, et al.. (2020). Diverse Audio-to-Image Generation via Semantics and Feature Consistency. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1188–1192. 2 indexed citations

Chen, Wei-Yu, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen⋆, & Yu-Chiang Frank Wang. (2019). Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond. IEEE Transactions on Image Processing. 28(9). 4620–4633. 15 indexed citations

Yang, Fu-En, et al.. (2019). A Multi-Domain and Multi-Modal Representation Disentangler for Cross-Domain Image Manipulation and Classification. IEEE Transactions on Image Processing. 29. 2795–2807. 8 indexed citations

10.

Wang, Chia-Ming, et al.. (2019). Element-Embedded Style Transfer Networks for Style Harmonization.. British Machine Vision Conference. 201. 3 indexed citations

11.

Li, Yu-Jhe, Yunchun Chen, Yen‐Yu Lin, Xiaofei Du, & Yu-Chiang Frank Wang. (2019). Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. 8089–8098. 54 indexed citations

12.

Li, Yu-Jhe, et al.. (2019). Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. 7918–7928. 132 indexed citations

13.

Chen, Po‐Yi, Alexander H. Liu, Yen‐Cheng Liu, & Yu-Chiang Frank Wang. (2019). Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. 2619–2627. 157 indexed citations

14.

Kuo, Tzu-Sheng, et al.. (2018). Deep Aggregation Net for Land Cover Classification. 247–2474. 34 indexed citations

15.

Wang, Yu-Chiang Frank, et al.. (2018). Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies.. British Machine Vision Conference. 124. 10 indexed citations

16.

Wang, Yu-Chiang Frank, et al.. (2017). Edge-Preserving Depth Map Upsampling by Joint Trilateral Filter. IEEE Transactions on Cybernetics. 48(1). 371–384. 42 indexed citations

17.

Tsai, Yao-Hung Hubert, et al.. (2016). Unsupervised Domain Adaptation With Label and Structural Consistency. IEEE Transactions on Image Processing. 25(12). 5552–5562. 95 indexed citations

18.

Chang, Haw-Shiuan & Yu-Chiang Frank Wang. (2015). Optimizing the decomposition for multiple foreground cosegmentation. Computer Vision and Image Understanding. 141. 18–27. 18 indexed citations

19.

Yeh, Yi-Ren, et al.. (2013). Solving Nonlinear SVM in Linear Time? A Nystrom Approximated SVM with Applications to Image Classification ∗. Machine Vision and Applications. 5–8.

20.

Tsai, Chia‐Yin, et al.. (2012). Video instance search for embedded marketing. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 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.

Explore authors with similar magnitude of impact