Li Su

4.1k citations
65 papers · 868 indexed · h-index 17

Impact in

    • Systemic Lupus Erythematosus Research
    • Statistical Methods and Bayesian Inference
    • Statistical Methods and Inference
    • Advanced Causal Inference Techniques

Papers in

Li Su

57 papers receiving 828 citations

Peers

Li Su
Comparison fields: 5 of 141
  • Rheumatology 298
  • Statistics and Probability 153
  • Geometry and Topology 101
  • Immunology 154
  • Computational Theory and Mathematics 83
Replace Giuseppe Di Maio with:
Giuseppe Di Maio Italy
Han Zhang China
Donna K. Pauler United States
Michel Lamure France
H. Amy Xia United States
Matt Hutmacher United States
Mark Sale United States
Louis Dron Canada
Didier Renard Belgium
L. S. Freedman United Kingdom
Li Su relative to Giuseppe Di Maio Italy Giuseppe Di Maio's profile →
Citations per field
00.5×6.7×
Giuseppe Di Maio · 1×
Citations per year

Countries citing papers authored by Li Su

Since Specialization
Citations

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

Fields of papers citing papers by Li Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li Su, 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 Li Su Line = papers co-authored together Li Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 200977
3 201776
4 200961
5 201060
6 201056
7 201251
8
Graphs with Extremal Matching Energies and Prescribed Parameters
201433
9 201828
10 196825
11 201521
12 202120
13 201220
14 202418
15 201117
16 201516
17 201716
18 201214
19 201312
20 201712

About Li Su

Li Su is a scholar working on Computational Mathematics, Statistics and Probability, Geometry and Topology, Rheumatology and Computational Theory and Mathematics, having authored 65 papers that have together received 868 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (13 papers), Systemic Lupus Erythematosus Research (9 papers), Graph theory and applications (8 papers), Advanced Causal Inference Techniques (6 papers), Advanced Graph Theory Research (5 papers), Statistical Methods in Clinical Trials (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Rheumatology (298 citations), Statistics and Probability (153 citations), Geometry and Topology (101 citations), Immunology (154 citations) and Computational Theory and Mathematics (83 citations). Li Su has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Vernon T. Farewell, Brian D. M. Tom, John G. Hanly, Honghai Li, John D. Fisk, Antonina Omisade, D. Leann Long, Marvin J. Fritzler, Qiuju Li and Caroline Gordon. Their work appears in journals such as Biostatistics, Statistical Methods in Medical Research, Statistics in Medicine, Ceramics International and The Journal of Rheumatology.

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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