Kevin Lian

721 citations
13 papers · 490 indexed · 1 hit paper · h-index 7
Topics
Bone and Joint Diseases (3 papers)Bone health and osteoporosis research (3 papers)Knee injuries and reconstruction techniques (2 papers)

In The Last Decade

Kevin Lian

13 papers receiving 476 citations

Hit Papers

Deep Learning Approach for Evaluating Knee MR Images: Ach...2018202620202023201850100150200

Peers

Kevin Lian
Comparison fields: 5 of 74
  • Surgery 225
  • Biomedical Engineering 166
  • Radiology, Nuclear Medicine and Imaging 145
  • Orthopedics and Sports Medicine 134
  • Rheumatology 82
Replace Mika Nevalainen with:
Mika Nevalainen Finland
Andrew J. Kompel United States
Sarah C. Foreman United States
Berk Norman United States
Kyung‐Sik Ahn South Korea
Yanjun Chen China
Richard Kijowski United States
Timothy Deyer United States
Danielle E. Whittier Canada
Delaram Shakoor United States
Kevin Lian relative to Mika Nevalainen Finland Mika Nevalainen's profile →
Citations per field
00.5×1.5×2.4×
Mika Nevalainen · 1×
Citations per year

Countries citing papers authored by Kevin Lian

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Lian

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 112
2 5
3
Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detectionbreakdown →
202
4 73
5 6
6 6
7 30
8 3
9 8
10 23
11 3
12 2
13 17

About Kevin Lian

Kevin Lian is a scholar working on Orthopedics and Sports Medicine, Microbiology and Surgery, having authored 13 papers that have together received 490 indexed citations. Recurring topics across this work include Bone and Joint Diseases (3 papers), Bone health and osteoporosis research (3 papers) and Knee injuries and reconstruction techniques (2 papers). The work is most often cited by research in Health Informatics (65 citations), Orthopedics and Sports Medicine (134 citations) and Radiology, Nuclear Medicine and Imaging (145 citations). Kevin Lian has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Zhaoye Zhou, Richard Kijowski, Alexey Samsonov, Fang Liu, Donna G. Blankenbaker, Brian C. Lentle, Ali Guermazi, Ruchi Sharma, John Kim and Bochen Guan. Their work appears in journals such as Radiology, Journal of Bone and Mineral Research and Radiographics.

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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