Jialiang Li

8.2k citations
296 papers · 5.9k indexed · 1 hit paper · h-index 39
Topics
Statistical Methods and Inference (90 papers)Statistical Methods and Bayesian Inference (47 papers)Statistical Methods in Clinical Trials (24 papers)

In The Last Decade

Jialiang Li

280 papers receiving 5.8k citations

Hit Papers

Logistic regression was as good as machine learning for p...20202026202220242020100200300

Peers

Jialiang Li
Comparison fields: 5 of 203
  • Molecular Biology 925
  • Statistics and Probability 923
  • Epidemiology 645
  • Pulmonary and Respiratory Medicine 593
  • Oncology 458
Replace Ian Douglas with:
Ian Douglas United Kingdom
Xin Sun China
Emmanuel Lesaffre Belgium
James M. Brophy Canada
Douglas S. Lee Canada
Scott S. Emerson United States
J. Jaime United States
Janet Woodcock United States
Nicholas Day United Kingdom
Thomas Lumley United States
Jialiang Li relative to Ian Douglas United Kingdom Ian Douglas's profile →
Citations per field
00.5×1.5×2.4×
Ian Douglas · 1×
Citations per year

Countries citing papers authored by Jialiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Jialiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialiang Li

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 9
4 7
5 0
6 3
7 13
8 8
9 11
10 1
11 0
12 7
13 5
14 1
15 12
16 2
17 1
18 9
19 88
20 14

About Jialiang Li

Jialiang Li is a scholar working on Statistics and Probability, Nephrology and Health Information Management, having authored 296 papers that have together received 5.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (90 papers), Statistical Methods and Bayesian Inference (47 papers) and Statistical Methods in Clinical Trials (24 papers). The work is most often cited by research in Statistics and Probability (923 citations), Nephrology (310 citations) and Health Information Management (173 citations). Jialiang Li has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Jason P. Fine, Tien Yin Wong, Anoop Shankar, Shuangge Ma, Ching‐Yu Cheng, Charumathi Sabanayagam, Julie A. Schneider, Lei Feng, Simon Nusinovici and Markus F. Renschler. Their work appears in journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

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