Huawei Ling

1.1k citations
34 papers · 855 indexed · h-index 16

Impact in

    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

Huawei Ling

32 papers receiving 850 citations

Peers

Huawei Ling
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 376
  • Neurology 221
  • Cognitive Neuroscience 186
  • Neurology 76
  • Psychiatry and Mental health 114
Replace L. Taylor Davis with:
L. Taylor Davis United States
Yoshinari Nagakane Japan
David F. Black United States
Daniela Pinter Austria
David Vállez García Netherlands
Petrice M. Cogswell United States
Olivia Sobczyk Canada
Yen-Chu Huang Taiwan
Wei-Hung Chen Taiwan
Francesca Guideri Italy
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Citations per field
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Citations per year

Countries citing papers authored by Huawei Ling

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015174
2 200998
3 201478
4 201953
5 201652
6 201835
7 200834
8 201933
9 202029
10 201828
11 200827
12 200926
13 201326
14 201720
15 201120
16 201515
17 201314
18 201614
19 201512
20 201911

About Huawei Ling

Huawei Ling is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 34 papers that have together received 855 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (6 papers), Functional Brain Connectivity Studies (6 papers), Neurological disorders and treatments (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Alzheimer's disease research and treatments (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (376 citations), Neurology (221 citations), Cognitive Neuroscience (186 citations), Neurology (76 citations) and Psychiatry and Mental health (114 citations). Huawei Ling has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Bei Ding, Kemin Chen, Naying He, Fuhua Yan, Chunlei Liu, Weimin Chai, Juan Huang, Zhongping Zhang, Yong Zhang and Xueqin Xu. Their work appears in journals such as Scientific Reports, NeuroImage Clinical, European Radiology, Dementia and Geriatric Cognitive Disorders and Renal Failure.

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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