Baoxu Shi

1.3k total citations
21 papers, 651 citations indexed

About

Baoxu Shi is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Baoxu Shi has authored 21 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 5 papers in Information Systems. Recurrent topics in Baoxu Shi's work include Advanced Graph Neural Networks (12 papers), Topic Modeling (8 papers) and Complex Network Analysis Techniques (7 papers). Baoxu Shi is often cited by papers focused on Advanced Graph Neural Networks (12 papers), Topic Modeling (8 papers) and Complex Network Analysis Techniques (7 papers). Baoxu Shi collaborates with scholars based in United States, Canada and Hungary. Baoxu Shi's co-authors include Tim Weninger, Jaewon Yang, Qi He, Nitesh V. Chawla, Yuxiao Dong, Chao Huang, Xian Wu, Xian Wu, Chao Huang and Leon O. Chua and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Knowledge and Information Systems.

In The Last Decade

Baoxu Shi

20 papers receiving 624 citations

Peers

Baoxu Shi

AI

IS

MSOR

SPS

SNP

Rakshit Trivedi United States

Bottyán Németh Hungary

Yantao Jia China

Károly Csalogány Hungary

Wei-Sheng Chin Taiwan

Yu-Chin Juan Taiwan

Francesco Folino Italy

Nicolas Usunier France

Maíra Gatti de Bayser Brazil

Xinyue Liu China

Rakshit Trivedi United States

Baoxu Shi

289 ×0.6

AI

129 ×0.9

IS

61 ×0.5

MSOR

32 ×0.3

SPS

124 ×1.6

SNP

Citations per year, relative to Baoxu Shi Baoxu Shi (= 1×) peers Rakshit Trivedi

Countries citing papers authored by Baoxu Shi

Since Specialization

Citations

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

Fields of papers citing papers by Baoxu Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoxu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Baoxu Shi. A scholar is included among the top collaborators of Baoxu Shi 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 Baoxu Shi. Baoxu Shi 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

1.

Shi, Baoxu, et al.. (2023). FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1537–1551. 1 indexed citations

2.

Yang, Jaewon, et al.. (2022). Graph Neural Networks for the Global Economy with Microsoft DeepGraph. 1655–1655. 1 indexed citations

3.

Gervet, Théophile, et al.. (2021). Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. 2046–2056. 23 indexed citations

4.

Shi, Baoxu, et al.. (2020). Learning to Ask Screening Questions for Job Postings. 549–558. 11 indexed citations

5.

Shi, Baoxu, et al.. (2020). Salience and Market-aware Skill Extraction for Job Targeting. 2871–2879. 18 indexed citations

6.

He, Qi, Jaewon Yang, & Baoxu Shi. (2020). Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way. 307–308. 20 indexed citations

7.

Shi, Baoxu, Jaewon Yang, Tim Weninger, How Jing, & Qi He. (2019). Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. 11. 1928–1937. 5 indexed citations

8.

Huang, Chao, Baoxu Shi, Xuchao Zhang, Xian Wu, & Nitesh V. Chawla. (2019). Similarity-Aware Network Embedding with Self-Paced Learning. 2113–2116. 6 indexed citations

9.

Wu, Xian, Baoxu Shi, Yuxiao Dong, Chao Huang, & Nitesh V. Chawla. (2019). Neural Tensor Factorization for Temporal Interaction Learning. 537–545. 59 indexed citations

10.

Wu, Xian, Baoxu Shi, Yuxiao Dong, et al.. (2018). RESTFul. 1073–1082. 29 indexed citations

11.

Shi, Baoxu & Tim Weninger. (2018). Open-World Knowledge Graph Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 169 indexed citations

12.

Shi, Baoxu & Tim Weninger. (2017). ProjE: Embedding Projection for Knowledge Graph Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 125 indexed citations

13.

Shi, Baoxu & Tim Weninger. (2016). Fact Checking in Heterogeneous Information Networks. 101–102. 48 indexed citations

14.

Shi, Baoxu & Tim Weninger. (2016). Discriminative predicate path mining for fact checking in knowledge graphs. Knowledge-Based Systems. 104. 123–133. 98 indexed citations

15.

Shi, Baoxu & Tim Weninger. (2016). Scalable models for computing hierarchies in information networks. Knowledge and Information Systems. 49(2). 687–717. 2 indexed citations

16.

Shi, Baoxu, Lin Yang, & Tim Weninger. (2016). Forward backward similarity search in knowledge networks. Knowledge-Based Systems. 119. 20–31. 7 indexed citations

17.

Shi, Baoxu & Tim Weninger. (2014). Mining Interesting Meta-Paths from Complex Heterogeneous Information Networks. 488–495. 10 indexed citations

18.

Zhang, Chunxia, Baoxu Shi, & Xudong Li. (2013). MFS: A Lightweight Block-Level Local Mirror of Remote File System. Journal of Software. 8(6). 2 indexed citations

19.

Shi, Baoxu, et al.. (1998). Estimating optical flow with cellular neural networks. International Journal of Circuit Theory and Applications. 26(4). 343–364. 1 indexed citations

20.

Shi, Baoxu, et al.. (1998). Estimating optical flow with cellular neural networks. International Journal of Circuit Theory and Applications. 26(4). 343–364. 16 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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