Lan Liu

869 citations
42 papers · 429 indexed · h-index 10

Lan Liu

36 papers receiving 418 citations

Peers

Lan Liu
Comparison fields: 5 of 103
  • Statistics and Probability 108
  • General Energy 5
  • Finance 47
  • Economics and Econometrics 102
  • General Economics, Econometrics and Finance 29
Replace David Pitt with:
David Pitt Australia
Jungsywan H. Sepanski United States
Andreas Alfons Netherlands
Wicher Bergsma United Kingdom
Marco Di Zio Italy
Patrice Bertail France
Darrell A. Turkington Australia
John Marriott United Kingdom
David H. Richardson United States
Elizabeth Chase MacRae
Lan Liu relative to David Pitt Australia David Pitt's profile →
Citations per field
00.5×3.3×
David Pitt · 1×
Citations per year

Countries citing papers authored by Lan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lan Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan Liu Line = papers co-authored together Lan Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20246
4 20242
5 20243
6 20247
7 20241
8 20241
9 20202
10 20200
11 20184
12 20185
13 20182
14 20179
15 201723
16
On the subway fire risk assessment based on the dynamically variable weight Petri net
20162
17
Identification and Inference for Marginal Average Treatment Effect on the Treated With an Instrumental Variable
20156
18 201370
19 20131
20
The Discovery of Technology Innovation Opportunity Based on the Text Mining and the Technology Roadmap
20071

About Lan Liu

Lan Liu is a scholar working on Statistics and Probability, Finance and Analytical Chemistry, having authored 42 papers that have together received 429 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Advanced Causal Inference Techniques (10 papers), Statistical Methods and Bayesian Inference (9 papers), Advanced Statistical Methods and Models (4 papers), Financial Markets and Investment Strategies (4 papers), Acute Ischemic Stroke Management (3 papers), Financial Risk and Volatility Modeling (3 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Statistics and Probability (108 citations), General Energy (5 citations) and Finance (47 citations). Lan Liu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Michael G. Hudgens, Xiao‐yuan Dong, Xiaoying Zheng, Changqing Luo, Qing Liu, Wang Miao, Baoluo Sun, Eric J. Tchetgen Tchetgen, Eric Tchetgen Tchetgen and Chengyan Yue. Their work appears in journals such as Journal of the American Statistical Association, Neurology and Stroke.

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

Rankless by CCL
2026