Diane Hu

493 total citations
16 papers, 286 citations indexed

About

Diane Hu is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Marketing. According to data from OpenAlex, Diane Hu has authored 16 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Marketing. Recurrent topics in Diane Hu's work include Recommender Systems and Techniques (8 papers), Consumer Market Behavior and Pricing (4 papers) and Advanced Bandit Algorithms Research (3 papers). Diane Hu is often cited by papers focused on Recommender Systems and Techniques (8 papers), Consumer Market Behavior and Pricing (4 papers) and Advanced Bandit Algorithms Research (3 papers). Diane Hu collaborates with scholars based in United States, Canada and Netherlands. Diane Hu's co-authors include Liangjie Hong, Lawrence K. Saul, Liang Wu, Huan Liu, Julian McAuley, Md Mehrab Tanjim, Josh Attenberg, Rob Hall, Yongfeng Zhang and Yingqiang Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, arXiv (Cornell University) and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

Diane Hu

15 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diane Hu United States	8	182	164	63	57	27	16	286
Jiancan Wu China	11	196 1.1×	262 1.6×	59 0.9×	43 0.8×	27 1.0×	26	374
Jorge Castro Spain	7	211 1.2×	105 0.6×	55 0.9×	66 1.2×	18 0.7×	11	276
Jiankai Sun United States	9	175 1.0×	149 0.9×	33 0.5×	46 0.8×	15 0.6×	12	250
Sheetal Girase India	6	230 1.3×	119 0.7×	88 1.4×	36 0.6×	13 0.5×	14	295
Armelle Brun France	9	151 0.8×	122 0.7×	34 0.5×	37 0.6×	32 1.2×	42	254
Flavian Vasile United States	8	198 1.1×	192 1.2×	57 0.9×	83 1.5×	26 1.0×	20	290
Chongming Gao China	9	190 1.0×	185 1.1×	74 1.2×	98 1.7×	45 1.7×	27	327
Paolo Tomeo Italy	8	257 1.4×	184 1.1×	63 1.0×	69 1.2×	25 0.9×	15	315
Anh Duc Duong Vietnam	3	205 1.1×	190 1.2×	163 2.6×	48 0.8×	20 0.7×	6	367
Aghiles Salah Singapore	10	210 1.2×	181 1.1×	107 1.7×	42 0.7×	16 0.6×	14	305

Countries citing papers authored by Diane Hu

Since Specialization

Citations

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

Fields of papers citing papers by Diane Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Hu

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

16 of 16 papers shown

1.

Xu, Chris, et al.. (2022). Adaptive Bandit Cluster Selection for Graph Neural Networks. abs/1609.02907. 1385–1392. 1 indexed citations

2.

Ge, Yingqiang, et al.. (2022). Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. arXiv (Cornell University). 316–324. 40 indexed citations

3.

Wang, Jianling, et al.. (2020). Time to Shop for Valentine's Day. 645–653. 26 indexed citations

4.

Hu, Diane, et al.. (2020). The Difference Between a Click and a Cart-Add: Learning Interaction-Specific Embeddings. 454–460. 1 indexed citations

5.

Lin, Jimmy, Chudi Zhong, Diane Hu, Cynthia Rudin, & Margo Seltzer. (2020). Generalized and Scalable Optimal Sparse Decision Trees. arXiv (Cornell University). 1. 6150–6160. 21 indexed citations

6.

Tanjim, Md Mehrab, et al.. (2020). Attentive Sequential Models of Latent Intent for Next Item Recommendation. 2528–2534. 66 indexed citations

7.

Jiang, Hao, et al.. (2019). Understanding the Role of Style in E-commerce Shopping. 3112–3120. 6 indexed citations

8.

Hu, Diane, et al.. (2019). Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.. 7 indexed citations

9.

Hu, Diane, et al.. (2019). A Sequential Test for Selecting the Better Variant. 492–500. 9 indexed citations

10.

Hu, Diane, et al.. (2019). Cost-Benefit Analysis of Discretionary Wars. SHILAP Revista de lepidopterología. 6(1). 98–106. 1 indexed citations

11.

Wu, Liang, Diane Hu, Liangjie Hong, & Huan Liu. (2018). Turning Clicks into Purchases. 365–374. 54 indexed citations

12.

Hu, Diane, et al.. (2015). Targeted Content for a Real-Time Activity Feed. 1269–1274.

13.

Hu, Diane, Rob Hall, & Josh Attenberg. (2014). Style in the long tail. 1640–1649. 25 indexed citations

14.

Hu, Diane & Lawrence K. Saul. (2009). A Probabilistic Topic Model For Unsupervised Learning Of Musical Key-Profiles.. Zenodo (CERN European Organization for Nuclear Research). 441–446. 24 indexed citations

15.

Hu, Diane, et al.. (2008). Campus Community Partnerships with People Who Are Deaf or Hard-of-Hearing. 5(1). 29–44. 1 indexed citations

16.

Cheng, Chih‐Chieh, Diane Hu, & Lawrence K. Saul. (2008). Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 2017–2020. 4 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.

Explore authors with similar magnitude of impact