Bee-Chung Chen

2.7k total citations · 1 hit paper
40 papers, 1.8k citations indexed

About

Bee-Chung Chen is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Bee-Chung Chen has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 22 papers in Artificial Intelligence and 15 papers in Management Science and Operations Research. Recurrent topics in Bee-Chung Chen's work include Recommender Systems and Techniques (19 papers), Advanced Bandit Algorithms Research (12 papers) and Data Stream Mining Techniques (6 papers). Bee-Chung Chen is often cited by papers focused on Recommender Systems and Techniques (19 papers), Advanced Bandit Algorithms Research (12 papers) and Data Stream Mining Techniques (6 papers). Bee-Chung Chen collaborates with scholars based in United States, United Kingdom and Taiwan. Bee-Chung Chen's co-authors include Deepak Agarwal, Pradheep Elango, Kristen LeFevre, Raghu Ramakrishnan, Ashwin Machanavajjhala, Daniel Kifer, Bo Long, Deepak Agarwal, Xuanhui Wang and Raghav Kaushik and has published in prestigious journals such as Communications of the ACM, Data Mining and Knowledge Discovery and The VLDB Journal.

In The Last Decade

Bee-Chung Chen

40 papers receiving 1.7k 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.

Regression-based latent factor models

2009 360 citations Deepak Agarwal, Bee-Chung Chen profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bee-Chung Chen United States	22	1.0k	1.0k	460	252	245	40	1.8k
Roberto Turrin Italy	14	1.2k 1.1×	604 0.6×	377 0.8×	122 0.5×	385 1.6×	29	1.4k
Alexandrin Popescul United States	13	1.1k 1.1×	782 0.8×	238 0.5×	117 0.5×	373 1.5×	19	1.6k
Sreenivas Gollapudi United States	19	811 0.8×	748 0.7×	299 0.7×	118 0.5×	354 1.4×	76	1.9k
Adriano Veloso Brazil	24	976 0.9×	1.0k 1.0×	301 0.7×	538 2.1×	159 0.6×	122	2.1k
Jon Herlocker United States	7	1.1k 1.1×	382 0.4×	178 0.4×	209 0.8×	381 1.6×	11	1.3k
Al Borchers United States	7	2.0k 2.0×	794 0.8×	352 0.8×	367 1.5×	696 2.8×	11	2.5k
Nívio Ziviani Brazil	24	1.1k 1.1×	1.1k 1.1×	233 0.5×	83 0.3×	262 1.1×	115	2.0k
Panagiotis Symeonidis Greece	23	1.1k 1.1×	853 0.8×	160 0.3×	111 0.4×	344 1.4×	68	1.8k
Jade Goldstein United States	15	1.0k 1.0×	2.0k 2.0×	212 0.5×	148 0.6×	559 2.3×	22	2.9k

Countries citing papers authored by Bee-Chung Chen

Since Specialization

Citations

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

Fields of papers citing papers by Bee-Chung Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bee-Chung Chen. 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 Bee-Chung Chen. The network helps show where Bee-Chung Chen may publish in the future.

Co-authorship network of co-authors of Bee-Chung Chen

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

All Works

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20 of 20 papers shown

1.

Guo, Weiwei, Xiaowei Liu, Sida Wang, et al.. (2020). DeText. 2509–2516. 13 indexed citations

2.

Ma, Yiming, et al.. (2016). GLMix. 363–372. 38 indexed citations

3.

Kapur, Navneet, et al.. (2016). Ranking Universities Based on Career Outcomes of Graduates. 137–144. 20 indexed citations

4.

Agarwal, Deepak, Bee-Chung Chen, Qi He, et al.. (2015). Personalizing LinkedIn Feed. 1651–1660. 20 indexed citations

5.

Agarwal, Deepak, Bee-Chung Chen, Rupesh Gupta, et al.. (2014). Activity ranking in LinkedIn feed. 1603–1612. 25 indexed citations

6.

Yang, Jaewon, Bee-Chung Chen, & Deepak Agarwal. (2013). Estimating sharer reputation via social data calibration. 59–67. 2 indexed citations

7.

Chen, Bee-Chung, Anirban Dasgupta, Xuanhui Wang, & Jie Yang. (2012). Vote calibration in community question-answering systems. 781–790. 16 indexed citations

8.

Agarwal, Deepak, Bee-Chung Chen, & Bo Pang. (2011). Personalized Recommendation of User Comments via Factor Models. Empirical Methods in Natural Language Processing. 571–582. 25 indexed citations

9.

Zhang, Liang, Deepak Agarwal, & Bee-Chung Chen. (2011). Generalizing matrix factorization through flexible regression priors. 13–20. 34 indexed citations

10.

Agarwal, Deepak, Bee-Chung Chen, & Bo Long. (2011). Localized factor models for multi-context recommendation. 609–617. 54 indexed citations

11.

Agarwal, Deepak, Bee-Chung Chen, & Pradheep Elango. (2010). Fast online learning through offline initialization for time-sensitive recommendation. 703–712. 43 indexed citations

12.

Chen, Bee-Chung, Daniel Kifer, Kristen LeFevre, & Ashwin Machanavajjhala. (2009). Privacy-Preserving Data Publishing. 2(1-2). 1–167. 87 indexed citations

13.

Agarwal, Deepak, Bee-Chung Chen, & Pradheep Elango. (2009). Spatio-temporal models for estimating click-through rate. 21–30. 84 indexed citations

14.

Agarwal, Deepak, et al.. (2008). Online Models for Content Optimization. Neural Information Processing Systems. 21. 17–24. 71 indexed citations

15.

Chen, Bee-Chung, Kristen LeFevre, & Raghu Ramakrishnan. (2008). Adversarial-knowledge dimensions in data privacy. The VLDB Journal. 18(2). 429–467. 3 indexed citations

16.

Chen, Bee-Chung, Kristen LeFevre, & Raghu Ramakrishnan. (2007). Privacy skyline: privacy with multidimensional adversarial knowledge. Minds at UW (University of Wisconsin). 770–781. 97 indexed citations

17.

Chaudhuri, Surajit, Bee-Chung Chen, Venkatesh Ganti, & Raghav Kaushik. (2007). Example-driven design of efficient record matching queries. 327–338. 68 indexed citations

18.

Chen, Bee-Chung, Lei Chen, Yi Lin, & Raghu Ramakrishnan. (2005). Prediction cubes. Very Large Data Bases. 982. 35 indexed citations

19.

Chen, Bee-Chung & Jieh Hsiang. (2004). A Logical Framework of Knowledge Retrieval with Fuzziness. 524–528. 1 indexed citations

20.

Shilkin, Κ.B., et al.. (1972). Rhabdomyolysis caused by hornet venom.. BMJ. 1(5793). 156–157. 33 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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