Jiannan Lu

595 total citations
17 papers, 196 citations indexed

About

Jiannan Lu is a scholar working on Statistics and Probability, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jiannan Lu has authored 17 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 2 papers in Information Systems and 2 papers in Artificial Intelligence. Recurrent topics in Jiannan Lu's work include Advanced Causal Inference Techniques (13 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (5 papers). Jiannan Lu is often cited by papers focused on Advanced Causal Inference Techniques (13 papers), Statistical Methods and Inference (9 papers) and Statistical Methods and Bayesian Inference (5 papers). Jiannan Lu collaborates with scholars based in United States, Netherlands and United Kingdom. Jiannan Lu's co-authors include Peng Ding, Alex Deng, Ulf Knoblich, Tirthankar Dasgupta, Somit Gupta, Peng Ding, Erik Wilde, Sophia Liu, Alexandros Marinos and Yu Wang and has published in prestigious journals such as Technometrics, Biometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Jiannan Lu

16 papers receiving 193 citations

Peers

Countries citing papers authored by Jiannan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Jiannan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiannan Lu

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	All about Sample-Size Calculations for A/B Testing: Novel Extensions & Practical Guide 2023 ·(unknown), Jiannan Lu, (unknown)	0
2	Novelty and Primacy: A Long-Term Estimator for Online Experiments 2022 ·Technometrics ·(unknown), Somit Gupta, (unknown), Jiannan Lu, (unknown), (unknown)	8
3	Land cover type change characteristics and driving factors in Hetao oasis 2021 ·Zhongguo shamo ·Liping Liu, Liangxu Liu, (unknown), Jiannan Lu, Guolin Wang	1
4	On Heavy-user Bias in A/B Testing 2019 ·Yu Wang, Somit Gupta, Jiannan Lu, (unknown), Sophia Liu	6
5	Sharp bounds on the relative treatment effect for ordinal outcomes 2019 ·Biometrics ·Jiannan Lu, (unknown), Peng Ding	4
6	On the partial identification of a new causal measure for ordinal outcomes 2018 ·Statistics & Probability Letters ·Jiannan Lu	1
7	Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds 2018 ·Journal of Educational and Behavioral Statistics ·Jiannan Lu, Peng Ding, Tirthankar Dasgupta	12
8	Applying the Delta Method in Metric Analytics 2018 ·Alex Deng, Ulf Knoblich, Jiannan Lu	21
9	Sharpening randomization-based causal inference for 2² factorial designs with binary outcomes 2017 ·Statistical Methods in Medical Research ·Jiannan Lu	1
10	Trustworthy Analysis of Online A/B Tests 2017 ·Alex Deng, Jiannan Lu, (unknown)	18
11	On randomization-based causal inference for matched-pair factorial designs 2017 ·Statistics & Probability Letters ·Jiannan Lu, Alex Deng	3
12	Principal Stratification Analysis Using Principal Scores 2016 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Peng Ding, Jiannan Lu	63
13	On randomization-based and regression-based inferences for 2K factorial designs 2016 ·Statistics & Probability Letters ·Jiannan Lu	23
14	Demystifying the bias from selective inference: A revisit to Dawid’s treatment selection problem 2016 ·Statistics & Probability Letters ·Jiannan Lu, Alex Deng	3
15	Covariate adjustment in randomization-based causal inference for2Kfactorial designs 2016 ·Statistics & Probability Letters ·Jiannan Lu	24
16	Construction of alternative hypotheses for randomization tests with ordinal outcomes 2015 ·Statistics & Probability Letters ·Jiannan Lu, Peng Ding, Tirthankar Dasgupta	5
17	HTTP database connector (HDBC) 2010 ·Alexandros Marinos, Erik Wilde, Jiannan Lu	3

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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