Ying Lü

35.9k citations
530 papers · 25.2k indexed · 9 hit papers · h-index 82

Ying Lü

505 papers receiving 24.4k citations

Hit Papers

Analy...8919952026200520154008001.2k

Peers

Ying Lü
Comparison fields: 5 of 225
  • Orthopedics and Sports Medicine 5.7k
  • Radiology, Nuclear Medicine and Imaging 5.5k
  • Rheumatology 3.0k
  • Obstetrics and Gynecology 992
  • Reproductive Medicine 1.0k
Replace J Martin Bland with:
J Martin Bland United Kingdom
Tim D. Spector United Kingdom
Charles E. McCulloch United States
Frank E. Harrell United States
Christopher H. Schmid United States
Karel G.M. Moons Netherlands
Giuseppe Lippi Italy
Aeilko H. Zwinderman Netherlands
Ewout W. Steyerberg Netherlands
Patrick M. Bossuyt Netherlands
Ying Lü relative to J Martin Bland United Kingdom J Martin Bland's profile →
Citations per field
00.5×3.4×
J Martin Bland · 1×
Citations per year

Countries citing papers authored by Ying Lü

Since Specialization
Citations

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

Fields of papers citing papers by Ying Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20241
4 20242
5 20246
6 20244
7 20243
8 20231
9 20232
10 202310
11 20224
12 202115
13 201722
14 201718
15 20171
16 20161
17 20163
18
eco: R Package for Ecological Inference in 2x2 Tables
20111
19 201061
20 20098

About Ying Lü

Ying Lü is a scholar working on Orthopedics and Sports Medicine, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, having authored 530 papers that have together received 25.2k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (61 papers), Statistical Methods in Clinical Trials (28 papers), MRI in cancer diagnosis (27 papers), Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (25 papers), Advanced MRI Techniques and Applications (23 papers), Bone and Joint Diseases (22 papers) and Hip and Femur Fractures (20 papers). The work is most often cited by research in Orthopedics and Sports Medicine (5.7k citations), Radiology, Nuclear Medicine and Imaging (5.5k citations) and Rheumatology (3.0k citations). Ying Lü has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Harry K. Genant, Sharmila Majumdar, Thomas Lang, Yan Song, M. Jergas, Karen Kinkel, Thomas Fuerst, Fergus V. Coakley, Claus‐Christian Glüer and Hedvig Hricak. Their work appears in journals such as Radiology, Osteoporosis International, Journal of Bone and Mineral Research, American Journal of Roentgenology and Bone.

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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