Chih-Ya Shen

843 total citations
61 papers, 542 citations indexed

About

Chih-Ya Shen is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Chih-Ya Shen has authored 61 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 21 papers in Information Systems and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Chih-Ya Shen's work include Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (11 papers) and Recommender Systems and Techniques (10 papers). Chih-Ya Shen is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (11 papers) and Recommender Systems and Techniques (10 papers). Chih-Ya Shen collaborates with scholars based in Taiwan, United States and Netherlands. Chih-Ya Shen's co-authors include De-Nian Yang, Tsong‐Pyng Perng, Ming-Syan Chen⋆, Hong-Han Shuai, Wang-Chien Lee, Keng‐Pei Lin, Yu‐Lun Huang, Shiuh‐Pyng Shieh, Lo‐Yao Yeh and Arbee L. P. Chen and has published in prestigious journals such as Physical Review Letters, Acta Materialia and Optics Express.

In The Last Decade

Chih-Ya Shen

55 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chih-Ya Shen Taiwan	16	216	141	112	95	73	61	542
Qingyu Guo China	12	559 2.6×	407 2.9×	79 0.7×	34 0.4×	57 0.8×	45	924
Hongxia Zhang China	12	81 0.4×	80 0.6×	206 1.8×	26 0.3×	7 0.1×	44	606
Siyang Liu China	12	240 1.1×	22 0.2×	165 1.5×	38 0.4×	7 0.1×	36	596
Chun‐Hao Chang Taiwan	13	116 0.5×	46 0.3×	54 0.5×	8 0.1×	17 0.2×	54	535
Panpan Wang China	11	397 1.8×	55 0.4×	34 0.3×	18 0.2×	34 0.5×	46	611
Emily Reif United States	10	456 2.1×	74 0.5×	26 0.2×	8 0.1×	32 0.4×	17	802
Debanjan Ghosh United States	11	377 1.7×	126 0.9×	87 0.8×	19 0.2×	14 0.2×	33	624
Miguel Vargas Martín Canada	11	125 0.6×	113 0.8×	94 0.8×	10 0.1×	27 0.4×	69	424
Tianbo Wang China	13	189 0.9×	88 0.6×	211 1.9×	50 0.5×	19 0.3×	53	499

Countries citing papers authored by Chih-Ya Shen

Since Specialization

Citations

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

Fields of papers citing papers by Chih-Ya Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih-Ya Shen. 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 Chih-Ya Shen. The network helps show where Chih-Ya Shen may publish in the future.

Co-authorship network of co-authors of Chih-Ya Shen

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

All Works

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20 of 20 papers shown

Shuai, Hong-Han, et al.. (2025). Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation. ACM Transactions on Knowledge Discovery from Data. 19(4). 1–27. 1 indexed citations

Shen, Chih-Ya, et al.. (2024). Budget-Constrained Ego Network Extraction With Maximized Willingness. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7692–7707.

Chang, Chih-Chieh, et al.. (2024). Learning to Augment Graphs: Machine-Learning-Based Social Network Intervention With Self-Supervision. IEEE Transactions on Computational Social Systems. 11(3). 3286–3298. 3 indexed citations

Shen, Chih-Ya, et al.. (2024). Social-Aware Group Display Configuration in VR Conference. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8517–8525. 1 indexed citations

Shen, Chih-Ya, et al.. (2024). Efficient Detection of $k$-Plex Structures in Large Graphs Through Constraint Learning. IEEE Transactions on Computational Social Systems. 12(4). 1584–1597.

Chang, Chih-Chieh, et al.. (2024). Improving graph-based recommendation with unraveled graph learning. Data Mining and Knowledge Discovery. 38(4). 2440–2465.

Shen, Chih-Ya, et al.. (2024). Customized and Robust Deep Neural Network Watermarking. 134–142. 2 indexed citations

Shen, Chih-Ya, et al.. (2023). On Efficient Processing of Queries for Live Multi-Streaming Soiree Organization. IEEE Transactions on Services Computing. 16(4). 2812–2826. 1 indexed citations

Lin, Wei‐Yu, et al.. (2023). Temporal Difference-Aware Graph Convolutional Reinforcement Learning for Multi-Intersection Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems. 25(1). 327–337. 14 indexed citations

10.

Shen, Chih-Ya, et al.. (2023). On Spatial Crowdsourcing Query under Pandemics. 106–115. 1 indexed citations

11.

Shen, Chih-Ya, et al.. (2023). Similarity-Aware Sampling for Machine Learning-Based Goal-Oriented Subgraph Extraction. 5589–5594. 1 indexed citations

12.

Chen, Yi‐Ling, Ya‐Chi Ho, Po‐Yuan Chang, et al.. (2022). Diversity-Optimized Group Extraction in Social Networks. IEEE Transactions on Computational Social Systems. 11(1). 756–769. 2 indexed citations

13.

Chang, Chih-Chieh, et al.. (2022). Learning to Extract Expert Teams in Social Networks. IEEE Transactions on Computational Social Systems. 9(5). 1552–1562. 16 indexed citations

14.

Shuai, Hong-Han, et al.. (2021). Learning to Solve Task-Optimized Group Search for Social Internet of Things. IEEE Transactions on Knowledge and Data Engineering. 34(11). 5429–5445. 19 indexed citations

15.

Shen, Chih-Ya, De-Nian Yang, Wang-Chien Lee, & Ming-Syan Chen⋆. (2020). Activity Organization for Friend-Making Optimization in Online Social Networks. IEEE Transactions on Knowledge and Data Engineering. 34(1). 122–137. 12 indexed citations

16.

Shuai, Hong-Han, De-Nian Yang, Chih-Ya Shen, Philip S. Yu, & Ming-Syan Chen⋆. (2017). QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee. IEEE Transactions on Big Data. 4(1). 90–104.

17.

Shuai, Hong-Han, Chih-Ya Shen, De-Nian Yang, et al.. (2017). A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining. IEEE Transactions on Knowledge and Data Engineering. 30(7). 1212–1225. 34 indexed citations

18.

Tsai, Chuen‐Jinn, et al.. (2013). The Effect of Thermal Hydrogenation Processing on the Oxide Layer Formation of Ti-6Al-4V Alloy. ECS Transactions. 50(30). 79–90. 1 indexed citations

19.

Zeijl, Henk van, et al.. (2010). From 2-Dimensional Lithography To 3-Dimensional Structures. ECS Transactions. 27(1). 421–426. 1 indexed citations

20.

Shen, Chih-Ya, Kristel Michielsen, & Hans De Raedt. (2006). Spontaneous-Emission Rate in Microcavities: Application to Two-Dimensional Photonic Crystals. Physical Review Letters. 96(12). 120401–120401. 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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