Siyue Xie

637 total citations
10 papers, 474 citations indexed

About

Siyue Xie is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Information Systems. According to data from OpenAlex, Siyue Xie has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 3 papers in Information Systems. Recurrent topics in Siyue Xie's work include Face and Expression Recognition (5 papers), Emotion and Mood Recognition (4 papers) and Face recognition and analysis (3 papers). Siyue Xie is often cited by papers focused on Face and Expression Recognition (5 papers), Emotion and Mood Recognition (4 papers) and Face recognition and analysis (3 papers). Siyue Xie collaborates with scholars based in China, Hong Kong and Macao. Siyue Xie's co-authors include Haifeng Hu, Yongbo Wu, Yizhen Chen, Wing Cheong Lau, Huanle Xu, Dah Ming Chiu, Yiming Li and Yang Liu and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology and Electronics Letters.

In The Last Decade

Siyue Xie

8 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siyue Xie China	6	395	343	64	49	41	10	474
Wissam J. Baddar South Korea	6	329 0.8×	314 0.9×	69 1.1×	58 1.2×	46 1.1×	14	450
Yee-Hui Oh Malaysia	7	239 0.6×	235 0.7×	79 1.2×	45 0.9×	38 0.9×	8	350
Madhumita A. Takalkar Australia	5	181 0.5×	203 0.6×	72 1.1×	43 0.9×	38 0.9×	5	295
Huai-Qian Khor Malaysia	6	254 0.6×	282 0.8×	107 1.7×	43 0.9×	73 1.8×	7	401
Hangyu Li China	7	253 0.6×	203 0.6×	52 0.8×	32 0.7×	21 0.5×	16	336
Ling Lo Taiwan	10	221 0.6×	168 0.5×	79 1.2×	35 0.7×	22 0.5×	14	334
Senya Polikovsky Japan	5	251 0.6×	193 0.6×	56 0.9×	39 0.8×	33 0.8×	9	352
Cliff Lansley United Kingdom	4	351 0.9×	354 1.0×	106 1.7×	69 1.4×	67 1.6×	6	522
Sihaeng Lee South Korea	6	568 1.4×	448 1.3×	56 0.9×	57 1.2×	37 0.9×	8	656

Countries citing papers authored by Siyue Xie

Since Specialization

Citations

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

Fields of papers citing papers by Siyue Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyue Xie

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

All Works

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10 of 10 papers shown

1.

Xu, Huanle, et al.. (2025). FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 39(19). 20787–20795.

2.

Xu, Huanle, et al.. (2023). PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks. 2155–2165. 10 indexed citations

3.

Xie, Siyue, et al.. (2023). Violin: Virtual Overbridge Linking for Enhancing Semi-supervised Learning on Graphs with Limited Labels. 4451–4459.

4.

Xie, Siyue, et al.. (2022). CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 4272–4280. 1 indexed citations

5.

Li, Yiming, et al.. (2021). Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems. 983–990. 4 indexed citations

6.

Xie, Siyue, Haifeng Hu, & Yizhen Chen. (2020). Facial Expression Recognition With Two-Branch Disentangled Generative Adversarial Network. IEEE Transactions on Circuits and Systems for Video Technology. 31(6). 2359–2371. 50 indexed citations

7.

Xie, Siyue, Haifeng Hu, & Yongbo Wu. (2019). Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition. Pattern Recognition. 92. 177–191. 173 indexed citations

8.

Xie, Siyue & Haifeng Hu. (2018). Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks. IEEE Transactions on Multimedia. 21(1). 211–220. 163 indexed citations

9.

Xie, Siyue, et al.. (2017). Facial expression recognition using intra‐class variation reduced features and manifold regularisation dictionary pair learning. IET Computer Vision. 12(4). 458–465. 8 indexed citations

10.

Xie, Siyue & Haifeng Hu. (2017). Facial expression recognition with FRR‐CNN. Electronics Letters. 53(4). 235–237. 65 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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