Shih-Yang Su

755 total citations
8 papers, 266 citations indexed

About

Shih-Yang Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Shih-Yang Su has authored 8 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Management Information Systems. Recurrent topics in Shih-Yang Su's work include Reinforcement Learning in Robotics (2 papers), Neural Networks and Applications (1 paper) and Scheduling and Optimization Algorithms (1 paper). Shih-Yang Su is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Neural Networks and Applications (1 paper) and Scheduling and Optimization Algorithms (1 paper). Shih-Yang Su collaborates with scholars based in Taiwan, Canada and Israel. Shih-Yang Su's co-authors include Jia‐Bin Huang, Meng-Li Shih, Johannes Kopf, Zhang-Wei Hong, Chun‐Yi Lee, Helge Rhodin, Timur Bagautdinov, Yumin Chen, Li Su and Yi‐Hsuan Yang and has published in prestigious journals such as International Journal of Production Research, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Shih-Yang Su

8 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shih-Yang Su Taiwan	6	219	94	44	37	20	8	266
Zilong Zheng China	9	212 1.0×	43 0.5×	137 3.1×	58 1.6×	7 0.3×	22	327
Jiaxiang Tang China	7	242 1.1×	32 0.3×	80 1.8×	50 1.4×	31 1.6×	12	275
Linqi Zhou United States	4	164 0.7×	125 1.3×	65 1.5×	156 4.2×	6 0.3×	8	316
Dustin Schwenk United States	6	298 1.4×	99 1.1×	168 3.8×	109 2.9×	7 0.3×	7	437
Jing Yu Koh United States	8	257 1.2×	39 0.4×	83 1.9×	15 0.4×	9 0.5×	9	320
Ligong Han United States	8	207 0.9×	48 0.5×	58 1.3×	15 0.4×	10 0.5×	19	278
Jianping Hu China	12	216 1.0×	20 0.2×	28 0.6×	21 0.6×	49 2.5×	37	300
Zhenzhong Kuang China	10	185 0.8×	17 0.2×	86 2.0×	50 1.4×	13 0.7×	33	268
Yijie Guo United States	7	146 0.7×	57 0.6×	43 1.0×	89 2.4×	2 0.1×	18	231

Countries citing papers authored by Shih-Yang Su

Since Specialization

Citations

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

Fields of papers citing papers by Shih-Yang Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Yang Su. 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 Shih-Yang Su. The network helps show where Shih-Yang Su may publish in the future.

Co-authorship network of co-authors of Shih-Yang Su

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

All Works

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8 of 8 papers shown

1.

Su, Shih-Yang, et al.. (2024). Gaussian Shadow Casting for Neural Characters. 20997–21006. 6 indexed citations

2.

Su, Shih-Yang, Timur Bagautdinov, & Helge Rhodin. (2023). NPC: Neural Point Characters from Video. 14749–14759. 11 indexed citations

3.

Shih, Meng-Li, Shih-Yang Su, Johannes Kopf, & Jia‐Bin Huang. (2020). 3D Photography Using Context-Aware Layered Depth Inpainting. 8025–8035. 167 indexed citations

4.

Hong, Zhang-Wei, et al.. (2018). A Deep Policy Inference Q-Network for Multi-Agent Systems. arXiv (Cornell University). 1388–1396. 15 indexed citations

5.

Hong, Zhang-Wei, et al.. (2018). Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. Neural Information Processing Systems. 31. 10489–10500. 5 indexed citations

6.

Hong, Zhang-Wei, et al.. (2018). Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. 4912–4920. 50 indexed citations

7.

Su, Shih-Yang, et al.. (2017). Automatic conversion of Pop music into chiptunes for 8-bit pixel art. 58. 411–415. 3 indexed citations

8.

Su, Shih-Yang, et al.. (1996). Predictive models for performance evaluation of serial production lines. International Journal of Production Research. 34(5). 1279–1291. 9 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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