Yu-Siang Wang

500 total citations
10 papers, 278 citations indexed

About

Yu-Siang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Emergency Medicine. According to data from OpenAlex, Yu-Siang Wang has authored 10 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Emergency Medicine. Recurrent topics in Yu-Siang Wang's work include Multimodal Machine Learning Applications (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Yu-Siang Wang is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (4 papers). Yu-Siang Wang collaborates with scholars based in Taiwan, United States and Canada. Yu-Siang Wang's co-authors include Xiaohui Zeng, Alan Yuille, Winston H. Hsu, Ju-Chieh Chou, Ya-Liang Chang, Wei-Yun Ma, Chenxi Liu, Yu‐Wing Tai, Weichao Qiu and Chi–Keung Tang and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Resuscitation and Journal of Biomedical Informatics.

In The Last Decade

Yu-Siang Wang

10 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Siang Wang Taiwan	8	162	137	40	21	11	10	278
Masaharu Imai Japan	10	33 0.2×	25 0.2×	7 0.2×	29 1.4×	41 3.7×	66	404
Boxiang Wang China	9	43 0.3×	35 0.3×	4 0.1×	7 0.3×	6 0.5×	31	232
Eva Ignatious Australia	4	152 0.9×	18 0.1×	2 0.1×	26 1.2×	10 0.9×	6	389
Haoran Zhang China	8	57 0.4×	158 1.2×	3 0.1×	30 1.4×	3 0.3×	20	331
Radford Juang United States	4	58 0.4×	102 0.7×	8 0.2×	119 5.7×	2 0.2×	7	349
Chaitanya Kaul India	5	81 0.5×	72 0.5×	5 0.1×	26 1.2×	28 2.5×	25	221
Zi Lin China	7	98 0.6×	48 0.4×	6 0.1×	15 0.7×	1 0.1×	13	157
Jingwen Zhou Australia	8	66 0.4×	25 0.2×	2 0.1×	13 0.6×	5 0.5×	15	271
Yuan Wen Hau Malaysia	11	78 0.5×	29 0.2×	3 0.1×	68 3.2×	11 1.0×	55	300
Hossein Amiri Tunisia	9	65 0.4×	127 0.9×	4 0.1×	8 0.4×		32	256

Countries citing papers authored by Yu-Siang Wang

Since Specialization

Citations

This map shows the geographic impact of Yu-Siang 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-Siang 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-Siang Wang more than expected).

Fields of papers citing papers by Yu-Siang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Siang Wang

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

10 of 10 papers shown

1.

Su, Hung-Ting, et al.. (2021). Situation and Behavior Understanding by Trope Detection on Films. 3188–3198. 1 indexed citations

2.

Lin, Yu‐Sheng, et al.. (2021). xCos: An Explainable Cosine Metric for Face Verification Task. ACM Transactions on Multimedia Computing Communications and Applications. 17(3s). 1–16. 37 indexed citations

3.

Su, Hung-Ting, et al.. (2021). OCID-Ref: A 3D Robotic Dataset With Embodied Language For Clutter Scene Grounding. 5333–5338. 10 indexed citations

4.

Su, Hung-Ting, Yu-Siang Wang, Ya-Liang Chang, et al.. (2021). End-to-End Video Question-Answer Generation With Generator-Pretester Network. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4497–4507. 28 indexed citations

5.

Wang, Yu-Siang, et al.. (2020). Video Question Generation via Semantic Rich Cross-Modal Self-Attention Networks Learning. 2423–2427. 6 indexed citations

6.

Lu, Tsung‐Chien, Yao‐Ting Chang, Te‐Wei Ho, et al.. (2019). Using a smartwatch with real-time feedback improves the delivery of high-quality cardiopulmonary resuscitation by healthcare professionals. Resuscitation. 140. 16–22. 33 indexed citations

7.

Zeng, Xiaohui, Chenxi Liu, Yu-Siang Wang, et al.. (2019). Adversarial Attacks Beyond the Image Space. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4297–4306. 60 indexed citations

8.

Lu, Tsung‐Chien, Yi Chen, Te‐Wei Ho, et al.. (2018). A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch. Journal of Biomedical Informatics. 87. 60–65. 19 indexed citations

9.

Wang, Yu-Siang, Chenxi Liu, Xiaohui Zeng, & Alan Yuille. (2018). Scene Graph Parsing as Dependency Parsing. 397–407. 36 indexed citations

10.

Wang, Yu-Siang, et al.. (2017). Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks. 2664–2669. 48 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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