Siya Yao

400 total citations
12 papers, 293 citations indexed

About

Siya Yao is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siya Yao has authored 12 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siya Yao's work include Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Siya Yao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Siya Yao collaborates with scholars based in China, United States and Saudi Arabia. Siya Yao's co-authors include Qi Kang, MengChu Zhou, Abdullah Abusorrah, Muhyaddin Rawa, Aiiad Albeshri, Yusuf Al‐Turki, Xuesong Wang, Bo Huang, Jun Ma and Xiaoyu Sean Lu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Siya Yao

11 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siya Yao China	7	161	74	58	31	28	12	293
Jiongcheng Li China	7	166 1.0×	117 1.6×	23 0.4×	9 0.3×	32 1.1×	12	344
Ajalmar R. Rocha Neto Brazil	10	177 1.1×	82 1.1×	42 0.7×	21 0.7×	23 0.8×	37	335
Dianhui Wang Australia	11	207 1.3×	63 0.9×	68 1.2×	25 0.8×	13 0.5×	28	342
Ayça Deniz Türkiye	8	303 1.9×	87 1.2×	27 0.5×	78 2.5×	10 0.4×	15	436
Elliackin Figueiredo Brazil	11	229 1.4×	38 0.5×	48 0.8×	100 3.2×	17 0.6×	16	369
M. A. Makhlouf Egypt	8	206 1.3×	75 1.0×	33 0.6×	56 1.8×	8 0.3×	18	372
Qingke Zhang China	8	157 1.0×	35 0.5×	35 0.6×	81 2.6×	12 0.4×	12	298
Fadzil Ahmad Malaysia	10	190 1.2×	60 0.8×	24 0.4×	15 0.5×	10 0.4×	27	351
Anas Quteishat Jordan	11	199 1.2×	53 0.7×	98 1.7×	28 0.9×	13 0.5×	32	398
Na Tian China	11	122 0.8×	40 0.5×	35 0.6×	55 1.8×	32 1.1×	31	343

Countries citing papers authored by Siya Yao

Since Specialization

Citations

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

Fields of papers citing papers by Siya Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siya Yao. 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 Siya Yao. The network helps show where Siya Yao may publish in the future.

Co-authorship network of co-authors of Siya Yao

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

All Works

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12 of 12 papers shown

Kang, Qi, et al.. (2024). MemeNet: Toward a Reliable Local Projection for Image Recognition via Semantic Featurization. IEEE Transactions on Image Processing. 33. 1670–1682. 1 indexed citations

Lu, Xiaoyu Sean, et al.. (2024). Safely Knowledge Transfer from Source Models via an Iterative Pruning Based Learning Approach. 1672–1677.

Yao, Siya, et al.. (2022). Multi-objective Neural Architecture Adaptation in Transfer Learning. 1–5. 1 indexed citations

Kang, Qi, et al.. (2022). Domain Adaptation Multitask Optimization. IEEE Transactions on Cybernetics. 53(7). 4567–4578. 25 indexed citations

Yao, Siya, Qi Kang, MengChu Zhou, Muhyaddin Rawa, & Abdullah Abusorrah. (2022). A survey of transfer learning for machinery diagnostics and prognostics. Artificial Intelligence Review. 56(4). 2871–2922. 79 indexed citations

Yao, Siya, Qi Kang, MengChu Zhou, Muhyaddin Rawa, & Aiiad Albeshri. (2022). Discriminative Manifold Distribution Alignment for Domain Adaptation. IEEE Transactions on Systems Man and Cybernetics Systems. 53(2). 1183–1197. 70 indexed citations

Yao, Siya, Qi Kang, MengChu Zhou, Abdullah Abusorrah, & Yusuf Al‐Turki. (2021). Intelligent and Data-Driven Fault Detection of Photovoltaic Plants. Processes. 9(10). 1711–1711. 14 indexed citations

Kang, Qi, et al.. (2020). Effective Visual Domain Adaptation via Generative Adversarial Distribution Matching. IEEE Transactions on Neural Networks and Learning Systems. 32(9). 3919–3929. 52 indexed citations

Kang, Qi, et al.. (2020). Enhanced Subspace Distribution Matching for Fast Visual Domain Adaptation. IEEE Transactions on Computational Social Systems. 7(4). 1047–1057. 38 indexed citations

10.

Yao, Siya, et al.. (2019). Hierarchically Non-continuous Regression Prediction for Short-Term Photovoltaic Power Output. 118. 379–384. 4 indexed citations

11.

Wang, Xuesong, Qi Kang, MengChu Zhou, & Siya Yao. (2018). A Multiscale Concept Drift Detection Method for Learning from Data Streams. 28. 786–790. 8 indexed citations

12.

Yao, Siya, et al.. (2018). An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification. 11. 681–686. 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.

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