Beidou Wang

1.0k total citations · 1 hit paper
12 papers, 712 citations indexed

About

Beidou Wang is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Beidou Wang has authored 12 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 5 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Beidou Wang's work include Recommender Systems and Techniques (10 papers), Expert finding and Q&A systems (3 papers) and Topic Modeling (3 papers). Beidou Wang is often cited by papers focused on Recommender Systems and Techniques (10 papers), Expert finding and Q&A systems (3 papers) and Topic Modeling (3 papers). Beidou Wang collaborates with scholars based in China, Canada and United States. Beidou Wang's co-authors include Ziyu Guan, Deng Cai, Yu Zhu, Haifeng Liu, Hao Li, Xiaofei He, Jiajun Bu, Deng Cai, Quan Wang and Long Chen and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Beidou Wang

12 papers receiving 693 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

What to Do Next: Modeling User Behaviors by Time-LSTM

2017 311 citations Yu Zhu, Hao Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beidou Wang China	10	436	433	138	118	89	12	712
Jiashu Zhao Canada	12	535 1.2×	594 1.4×	149 1.1×	68 0.6×	70 0.8×	35	814
Christopher DuBois United States	6	611 1.4×	491 1.1×	249 1.8×	147 1.2×	57 0.6×	10	812
Pipei Huang China	7	654 1.5×	549 1.3×	299 2.2×	120 1.0×	59 0.7×	10	952
Laurent Charlin Canada	13	593 1.4×	695 1.6×	155 1.1×	200 1.7×	39 0.4×	20	977
Mohsen Afsharchi Iran	13	365 0.8×	277 0.6×	158 1.1×	66 0.6×	49 0.6×	47	604
Fernando Díez Spain	9	347 0.8×	156 0.4×	96 0.7×	89 0.8×	57 0.6×	33	462
Lucas Drumond Germany	13	593 1.4×	534 1.2×	175 1.3×	149 1.3×	36 0.4×	32	914
Kan Ren China	12	543 1.2×	494 1.1×	269 1.9×	193 1.6×	37 0.4×	31	917

Countries citing papers authored by Beidou Wang

Since Specialization

Citations

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

Fields of papers citing papers by Beidou Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beidou Wang

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

12 of 12 papers shown

1.

Zhu, Yu, Yu Gong, Qingwen Liu, et al.. (2019). Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. 4. 2585–2593. 14 indexed citations

2.

Zhu, Yu, et al.. (2019). Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. IEEE Transactions on Knowledge and Data Engineering. 32(4). 631–644. 108 indexed citations

3.

Zhao, Wei, Boxuan Zhang, Beidou Wang, et al.. (2019). Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. 2632–2642. 1 indexed citations

4.

Zhu, Yu, Junxiong Zhu, Jie Hou, et al.. (2018). A Brand-level Ranking System with the Customized Attention-GRU Model. 3947–3953. 15 indexed citations

5.

Wang, Beidou, Xin Guo, Martin Ester, et al.. (2018). Device-Aware Rule Recommendation for the Internet of Things. 2037–2045. 3 indexed citations

6.

Zhao, Wei, Ziyu Guan, Long Chen, et al.. (2017). Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering. 30(1). 185–197. 128 indexed citations

7.

Zhu, Yu, Hao Li, Beidou Wang, et al.. (2017). What to Do Next: Modeling User Behaviors by Time-LSTM. 3602–3608. 311 indexed citations breakdown →

8.

Wang, Beidou, Martin Ester, Jiajun Bu, et al.. (2016). Which to View. 1181–1190. 21 indexed citations

9.

Wang, Beidou, Martin Ester, Jiajun Bu, et al.. (2016). The Million Domain Challenge. 1895–1904. 20 indexed citations

10.

Wang, Beidou, Martin Ester, Jiajun Bu, & Deng Cai. (2014). Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 20 indexed citations

11.

Li, Ping, Jiajun Bu, Bin Xu, Beidou Wang, & Chun Chen. (2013). Locally discriminative spectral clustering with composite manifold. Neurocomputing. 119. 243–252. 13 indexed citations

12.

Wang, Beidou, Can Wang, Jiajun Bu, et al.. (2013). Whom to mention. 1331–1340. 58 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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