Lan Lin

1.4k citations
88 papers · 1.0k · h-index 18

Impact in

  • Neurology top 5%
    • Brain Tumor Detection and Classification
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces

Papers in

Lan Lin

82 papers receiving 992 citations

Peers

Lan Lin
Comparison fields: 5 of 132
  • Neurology 162
  • Cognitive Neuroscience 276
  • Psychiatry and Mental health 199
  • Radiology, Nuclear Medicine and Imaging 225
  • Health Information Management 44
Replace Mingliang Wang with:
Mingliang Wang China
Fang Pu China
Junhao Wen United States
Walter Hugo Lopez Pinaya United Kingdom
Andrea Duggento Italy
Ahmed Abdulkadir Switzerland
Christian Salvatore Italy
Chong‐Yaw Wee United States
Mercedes Cabrerizo United States
Han Zhang China
Lan Lin relative to Mingliang Wang China Mingliang Wang's profile →
Citations per field
00.5×10×13.5×
Mingliang Wang · 1×
Citations per year

Countries citing papers authored by Lan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201382
3 201273
4 200555
5 201547
6 202342
7 201835
8
Breast elastography: a hospital-based preliminary study in China.
201030
9 202127
10 202127
11 201226
12 202122
13 201622
14 202322
15 202319
16 201819
17 202119
18 202018
19 202016
20 202316

About Lan Lin

Lan Lin is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Neurology and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 1.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (29 papers), Dementia and Cognitive Impairment Research (19 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Brain Tumor Detection and Classification (11 papers), Health, Environment, Cognitive Aging (7 papers), Alzheimer's disease research and treatments (6 papers), Advanced MRI Techniques and Applications (6 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Neurology (162 citations), Cognitive Neuroscience (276 citations), Psychiatry and Mental health (199 citations), Radiology, Nuclear Medicine and Imaging (225 citations) and Health Information Management (44 citations). Lan Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuicai Wu, Baiwen Zhang, Shen Sun, Zhuhuang Zhou, Jingxuan Wang, Yanjun Zeng, Xiaofeng Gao, James R. Moeller, Kewei Chen and Gene E. Alexander. Their work appears in journals such as Reviews in the Neurosciences, Medical Physics, Environmental Pollution, Sensors and Sustainability.

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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