Xiaokai Wei

1.3k total citations
36 papers, 696 citations indexed

About

Xiaokai Wei is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Xiaokai Wei has authored 36 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Statistical and Nonlinear Physics and 8 papers in Molecular Biology. Recurrent topics in Xiaokai Wei's work include Advanced Graph Neural Networks (23 papers), Complex Network Analysis Techniques (17 papers) and Topic Modeling (8 papers). Xiaokai Wei is often cited by papers focused on Advanced Graph Neural Networks (23 papers), Complex Network Analysis Techniques (17 papers) and Topic Modeling (8 papers). Xiaokai Wei collaborates with scholars based in United States, Hong Kong and China. Xiaokai Wei's co-authors include Philip S. Yu, Linchuan Xu, Jiannong Cao, Bokai Cao, Huayi Li, Zhiyuan Chen, Bing Liu, Jidong Shao, Bing Xiang and Ramesh Nallapati and has published in prestigious journals such as Optics Express, Sensors and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Xiaokai Wei

34 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaokai Wei United States	13	553	225	190	121	79	36	696
Andreas Lommatzsch Germany	7	317 0.6×	288 1.3×	112 0.6×	57 0.5×	41 0.5×	26	530
Rakshit Trivedi United States	9	289 0.5×	124 0.6×	129 0.7×	77 0.6×	70 0.9×	12	546
Mohamed Bouguessa Canada	11	388 0.7×	177 0.8×	250 1.3×	90 0.7×	28 0.4×	42	614
Thomas A. J. Schweiger United States	6	371 0.7×	390 1.7×	98 0.5×	80 0.7×	65 0.8×	10	621
Baoxu Shi United States	11	499 0.9×	80 0.4×	138 0.7×	72 0.6×	34 0.4×	21	651
Hai Leong Chieu Singapore	16	953 1.7×	121 0.5×	288 1.5×	105 0.9×	89 1.1×	34	1.1k
Kristie Seymore United States	10	960 1.7×	257 1.1×	321 1.7×	167 1.4×	57 0.7×	12	1.2k
Pinar Yanardag United States	7	540 1.0×	184 0.8×	74 0.4×	265 2.2×	106 1.3×	15	710
Prem Gopalan United States	8	270 0.5×	197 0.9×	189 1.0×	75 0.6×	51 0.6×	12	643
Yubao Wu United States	13	192 0.3×	232 1.0×	83 0.4×	119 1.0×	37 0.5×	33	454

Countries citing papers authored by Xiaokai Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xiaokai Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokai Wei

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

20 of 20 papers shown

Hong, Zhang, et al.. (2025). Privacy preserving task offloading and resource allocation for satellite terrestrial integrated edge computing networks based on differentially private federated learning. Computer Networks. 272. 111664–111664.

Gao, Shan, Xiaokai Wei, Zhiwei Chen, et al.. (2024). A method for processing multispectral radiometric thermometry data based on BP-Alpha constraints. Infrared Physics & Technology. 140. 105387–105387. 2 indexed citations

Wei, Xiaokai, Sujan K. Gonugondla, Wasi Uddin Ahmad, et al.. (2023). Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. 224–236. 14 indexed citations

Wang, Shen, Ziwei Fan, Jibing Gong, Xiaokai Wei, & Philip S. Yu. (2023). TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. 304–314.

Chen, Liwei, Xianqi Zhang, Shan Gao, et al.. (2022). Multi-spectral radiation thermometry based on an Alpha spectrum-LM algorithm under the background of high temperature and intense reflection. Optics Express. 30(20). 36603–36603. 13 indexed citations

Wei, Xiaokai, Zijian Wang, Shen Wang, et al.. (2022). Debiasing Neural Retrieval via In-batch Balancing Regularization. 58–66. 2 indexed citations

Wang, Shen, Xiaofei Ma, Rui Dong, et al.. (2022). Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. 465–475. 10 indexed citations

Zhang, Dejiao, Nan Feng, Xiaokai Wei, et al.. (2021). Supporting Clustering with Contrastive Learning. 5419–5430. 118 indexed citations

Wang, Shen, Xiaokai Wei, Zhiguo Wang, et al.. (2021). Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. 1761–1771. 55 indexed citations

10.

Wang, Shen, Xiaokai Wei, Cícero Nogueira dos Santos, et al.. (2020). H2KGAT: Hierarchical hyperbolic knowledge graph attention network. Empirical Methods in Natural Language Processing. 4952–4962. 2 indexed citations

11.

Xu, Linchuan, Xiaokai Wei, Jiannong Cao, & Philip S. Yu. (2018). On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 9. 1–8. 2 indexed citations

12.

Sun, Lichao, Lifang He, Zhipeng Huang, et al.. (2018). Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. 131–138. 16 indexed citations

13.

Xu, Linchuan, Xiaokai Wei, Jiannong Cao, & Philip S. Yu. (2018). On Exploring Semantic Meanings of Links for Embedding Social Networks. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 479–488. 21 indexed citations

14.

Xu, Linchuan, Xiaokai Wei, Jiannong Cao, & Philip S. Yu. (2017). Embedding of Embedding (EOE). PolyU Institutional Research Archive (Hong Kong Polytechnic University). 741–749. 99 indexed citations

15.

Sun, Lichao, Xiaokai Wei, Jiawei Zhang, et al.. (2017). Contaminant removal for Android malware detection systems. 1053–1062. 8 indexed citations

16.

Wei, Xiaokai, Bokai Cao, & Philip S. Yu. (2017). Multi-view unsupervised feature selection by cross-diffused matrix alignment. 494–501. 11 indexed citations

17.

Wei, Xiaokai & Philip S. Yu. (2016). Unsupervised Feature Selection by Preserving Stochastic Neighbors. International Conference on Artificial Intelligence and Statistics. 995–1003. 12 indexed citations

18.

Wei, Xiaokai, Bokai Cao, Weixiang Shao, Chun-Ta Lu, & Philip S. Yu. (2016). Community detection with partially observable links and node attributes. 773–782. 12 indexed citations

19.

Wei, Xiaokai, Sihong Xie, & Philip S. Yu. (2015). Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. 82–90. 18 indexed citations

20.

Li, Huayi, Zhiyuan Chen, Bing Liu, Xiaokai Wei, & Jidong Shao. (2014). Spotting Fake Reviews via Collective Positive-Unlabeled Learning. 899–904. 109 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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