Hong‐Hsi Lee

1.5k citations
33 papers · 695 · h-index 12

Impact in

Papers in

Hong‐Hsi Lee

31 papers receiving 690 citations

Peers

Hong‐Hsi Lee
Comparison fields: 5 of 78
  • Computational Mathematics 19
  • Radiology, Nuclear Medicine and Imaging 588
  • Orthopedics and Sports Medicine 124
  • Nuclear and High Energy Physics 105
  • Modeling and Simulation 26
Replace Gregory Lemberskiy with:
Gregory Lemberskiy United States
Kevin D. Harkins United States
Lauren M. Burcaw United States
Walid E. Kyriakos United States
W. Scott Hoge United States
Joseph K. Maier United States
Robert M Vavrek United States
J. Martins Sweden
Maryam Afzali United Kingdom
Fuyixue Wang United States
Hong‐Hsi Lee relative to Gregory Lemberskiy United States Gregory Lemberskiy's profile →
Citations per field
00.5×4.3×
Gregory Lemberskiy · 1×
Citations per year

Countries citing papers authored by Hong‐Hsi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Hsi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Hsi Lee. 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 Hong‐Hsi Lee. The network helps show where Hong‐Hsi Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 201978
3 201873
4 202068
5 202064
6 201755
7 202046
8 202039
9 202125
10 202021
11 201814
12 202112
13 20247
14 20247
15 20226
16 20246
17 20245
18 20245
19 20244
20 20234

About Hong‐Hsi Lee

Hong‐Hsi Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Cognitive Neuroscience, Nuclear and High Energy Physics and Infectious Diseases, having authored 33 papers that have together received 695 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (29 papers), Advanced MRI Techniques and Applications (26 papers), MRI in cancer diagnosis (12 papers), Bone and Joint Diseases (9 papers), Functional Brain Connectivity Studies (4 papers), NMR spectroscopy and applications (4 papers), Pituitary Gland Disorders and Treatments (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Computational Mathematics (19 citations), Radiology, Nuclear Medicine and Imaging (588 citations), Orthopedics and Sports Medicine (124 citations), Nuclear and High Energy Physics (105 citations) and Modeling and Simulation (26 citations). Hong‐Hsi Lee has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Els Fieremans, Dmitry S. Novikov, Jelle Veraart, Gregory Lemberskiy, Sheng‐Hsuan Lin, Lauren M. Burcaw, Sungheon Kim, Sune Nørhøj Jespersen, Feng‐Xia Liang and Riccardo Lattanzi. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, NMR in Biomedicine, Journal of Sleep Research and Science Advances.

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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