Haoda Fu

3.0k total citations · 1 hit paper
80 papers, 2.1k citations indexed

About

Haoda Fu is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Haoda Fu has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 19 papers in Endocrinology, Diabetes and Metabolism and 12 papers in Economics and Econometrics. Recurrent topics in Haoda Fu's work include Statistical Methods in Clinical Trials (38 papers), Statistical Methods and Inference (26 papers) and Advanced Causal Inference Techniques (22 papers). Haoda Fu is often cited by papers focused on Statistical Methods in Clinical Trials (38 papers), Statistical Methods and Inference (26 papers) and Advanced Causal Inference Techniques (22 papers). Haoda Fu collaborates with scholars based in United States, China and Singapore. Haoda Fu's co-authors include Mark A. Deeg, David E. Moller, William L. Holland, Alexei Kharitonenkov, Gregory Gaich, Jenny Y. Chien, Leonard C. Glass, Thomas F. Bumol, Lü Tian and Lee‐Jen Wei and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Haoda Fu

76 papers receiving 2.1k 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.

The Effects of LY2405319, an FGF21 Analog, in Obese Human Subjects with Type 2 Diabetes

2013 730 citations Gregory Gaich, Jenny Y. Chien et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haoda Fu United States	20	716	542	471	303	263	80	2.1k
Lilly Q. Yue United States	17	262 0.4×	608 1.1×	255 0.5×	230 0.8×	543 2.1×	43	2.3k
Christoffer W. Tornøe United States	18	623 0.9×	230 0.4×	1.0k 2.2×	352 1.2×	121 0.5×	29	2.5k
Alexander Tsodikov United States	30	438 0.6×	395 0.7×	152 0.3×	516 1.7×	62 0.2×	75	3.0k
Abdurrahman Coşkun Türkiye	29	370 0.5×	356 0.7×	230 0.5×	325 1.1×	48 0.2×	141	2.3k
Douwe Postmus Netherlands	28	206 0.3×	182 0.3×	257 0.5×	243 0.8×	397 1.5×	90	2.1k
Pilar Fernández–Calle Spain	29	272 0.4×	365 0.7×	176 0.4×	309 1.0×	54 0.2×	107	2.1k
Anna Carobene Italy	29	270 0.4×	333 0.6×	174 0.4×	269 0.9×	54 0.2×	99	2.3k
Suzette J. Bielinski United States	33	844 1.2×	101 0.2×	308 0.7×	358 1.2×	187 0.7×	154	3.7k
Ionut Bebu United States	24	188 0.3×	153 0.3×	836 1.8×	311 1.0×	65 0.2×	89	1.8k
Marita Olsson Sweden	20	178 0.2×	166 0.3×	298 0.6×	224 0.7×	37 0.1×	50	1.8k

Countries citing papers authored by Haoda Fu

Since Specialization

Citations

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

Fields of papers citing papers by Haoda Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoda Fu

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

Deng, Kaiwen, et al.. (2022). Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study. Journal of Medical Internet Research. 24(3). e27934–e27934. 1 indexed citations

Zhang, Ying, Haoda Fu, Stephen J. Ruberg, & Yongming Qu. (2021). Statistical Inference on the Estimators of the Adherer Average Causal Effect. Statistics in Biopharmaceutical Research. 14(3). 392–395. 1 indexed citations

Liang, Muxuan, Ting Ye, & Haoda Fu. (2018). Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms. Statistics in Medicine. 37(27). 3869–3886. 8 indexed citations

Zhang, Chong, et al.. (2018). Multicategory Outcome Weighted Margin-based Learning for Estimating Individualized Treatment Rules. Statistica Sinica. 30. 1857–1879. 16 indexed citations

Jiang, Fei, et al.. (2018). Robust Alternatives to ANCOVA for Estimating the Treatment Effect via a Randomized Comparative Study. Journal of the American Statistical Association. 114(528). 1854–1864. 17 indexed citations

Festa, Andreas, et al.. (2017). Association between mild and severe hypoglycemia in people with type 2 diabetes initiating insulin. Journal of Diabetes and its Complications. 31(6). 1047–1052. 17 indexed citations

Yang, Pei, Hongxia Yang, Haoda Fu, et al.. (2016). Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Transactions on Knowledge Discovery from Data. 10(4). 1–25. 7 indexed citations

Peng, Xiaomei, Haoda Fu, Haya Ascher‐Svanum, et al.. (2016). Predictors of Change in Adherence Status from 1 Year to the Next Among Patients with Type 2 Diabetes Mellitus on Oral Antidiabetes Drugs. Journal of Managed Care & Specialty Pharmacy. 22(5). 467–482. 11 indexed citations

He, Zangdong, et al.. (2015). Simultaneous variable selection for joint models of longitudinal and survival outcomes. PMC.

10.

Fu, Haoda, Dachuang Cao, Kristina S. Boye, et al.. (2015). Early Glycemic Response Predicts Achievement of Subsequent Treatment Targets in the Treatment of Type 2 Diabetes: A Post hoc Analysis. Diabetes Therapy. 6(3). 317–328. 8 indexed citations

11.

Fu, Haoda, Bradley Curtis, Dara P. Schuster, Andreas Festa, & David M. Kendall. (2014). Treatment Patterns Among Older Patients with Type 2 Diabetes in the United States: A Retrospective Cohort Study. Diabetes Technology & Therapeutics. 16(12). 833–839. 5 indexed citations

12.

Slabaugh, S. Lane, et al.. (2014). Factors associated with increased healthcare costs in Medicare Advantage patients with type 2 diabetes enrolled in a large representative health insurance plan in the US. Journal of Medical Economics. 18(2). 106–112. 32 indexed citations

13.

Fu, Haoda, Bradley Curtis, Wenting Xie, et al.. (2014). Frequency and causes of hospitalization in older compared to younger adults with type 2 diabetes in the United States: A retrospective, claims-based analysis. Journal of Diabetes and its Complications. 28(4). 477–481. 14 indexed citations

14.

Yang, Pei, Jingrui He, Hongxia Yang, & Haoda Fu. (2014). Learning from Label and Feature Heterogeneity. 1079–1084. 8 indexed citations

15.

Gould, A. Lawrence, Ted Lystig, Yun Lu, Haoda Fu, & Haijun Ma. (2014). Methods and Issues to Consider for Detection of Safety Signals From Spontaneous Reporting Databases: A Report of the DIA Bayesian Safety Signal Detection Working Group. Therapeutic Innovation & Regulatory Science. 49(1). 65–75. 5 indexed citations

16.

Fu, Haoda, Junxiang Luo, & Yongming Qu. (2014). Hypoglycemic events analysis via recurrent time-to-event (HEART) models. Journal of Biopharmaceutical Statistics. 26(2). 280–298. 6 indexed citations

17.

Gaich, Gregory, Jenny Y. Chien, Haoda Fu, et al.. (2013). The Effects of LY2405319, an FGF21 Analog, in Obese Human Subjects with Type 2 Diabetes. Cell Metabolism. 18(3). 333–340. 730 indexed citations breakdown →

18.

Wong, Mayme, et al.. (2013). A randomized, cross-over comparison of preference between two reusable insulin pen devices in pen-naïve adults with diabetes. Current Medical Research and Opinion. 29(5). 465–473. 3 indexed citations

19.

Fu, Haoda, Yanping Wang, Jingyi Liu, Pandurang M. Kulkarni, & Allen S. Melemed. (2012). Joint modeling of progression‐free survival and overall survival by a Bayesian normal induced copula estimation model. Statistics in Medicine. 32(2). 240–254. 21 indexed citations

20.

Zhao, Zhenxiang, et al.. (2010). Resource utilization and healthcare costs for acute coronary syndrome patients with and without diabetes mellitus. Journal of Medical Economics. 13(4). 748–759. 8 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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