Lianglong Sun

573 total citations
12 papers, 182 citations indexed

About

Lianglong Sun is a scholar working on Cognitive Neuroscience, Neurology and Organic Chemistry. According to data from OpenAlex, Lianglong Sun has authored 12 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Neurology and 2 papers in Organic Chemistry. Recurrent topics in Lianglong Sun's work include Functional Brain Connectivity Studies (6 papers), Neurological disorders and treatments (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Lianglong Sun is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neurological disorders and treatments (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Lianglong Sun collaborates with scholars based in China and United States. Lianglong Sun's co-authors include Jingyuan Zhu, Fan Yang, Huiying Wu, Fengli Zhang, Yue Ba, Hongping Li, Qingbo Li, Liuxin Cui, Na Wang and Mingrui Xia and has published in prestigious journals such as Nature Communications, NeuroImage and Cell Reports.

In The Last Decade

Lianglong Sun

10 papers receiving 178 citations

Peers

Lianglong Sun
Comparison fields: 5 of 63
  • Pollution 79
  • Cognitive Neuroscience 48
  • Health, Toxicology and Mutagenesis 40
  • Artificial Intelligence 35
  • Radiological and Ultrasound Technology 32
Replace Kanupriya Gupta with:
Kanupriya Gupta United States
Mengmeng Shao China
Inakshi Naik South Africa
Yi Gao China
Maxim Chashchin Russia
I. Molina-Villalba Spain
Rosmaliza Ramli Malaysia
Mingxing Xu China
David Hernández-Bonilla Mexico
Chiara Fedrighi Italy
Kanupriya Gupta United States View profile →
Citations per field, relative to Lianglong Sun
Lianglong Sun · 1×
Citations per year, relative to Lianglong Sun
Lianglong Sun · 1×

Countries citing papers authored by Lianglong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lianglong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianglong Sun

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 8
5 6
6 3
7 21
8 8
9 24
10 5
11
ImageSem Group at ImageCLEFmed Caption 2021 Task: Exploring the Clinical Significance of the Textual Descriptions Derived from Medical Images.
3
12 103

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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