Lichao Xu

757 citations
43 papers · 538 · h-index 13

Impact in

    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Lichao Xu

37 papers receiving 530 citations

Peers

Lichao Xu
Comparison fields: 5 of 69
  • Cognitive Neuroscience 237
  • Hepatology 86
  • Human-Computer Interaction 46
  • Cellular and Molecular Neuroscience 105
  • Radiology, Nuclear Medicine and Imaging 131
Replace Huijun Ding with:
Huijun Ding China
Radoslav Bortel Czechia
Hasnine Haque Japan
Manal Tantawi Egypt
Youngsun Kim South Korea
Zijian Wang China
Yoichi Yamazaki Japan
Pedro Luiz Coelho Rodrigues Portugal
Chih‐Hao Chen Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Lichao Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lichao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 200965
3 202160
4 201928
5 201227
6 201326
7 201825
8 202124
9 202420
10 202318
11 202216
12
Radiofrequency ablation of advanced lung tumors: imaging features, local control, and follow-up protocol.
201514
13 202213
14 201811
15 20199
16 20209
17 20228
18
Investigating the use of MEMS Based Wrist-worn IMU for Pedestrian Navigation Application
20138
19 20218
20 20118

About Lichao Xu

Lichao Xu is a scholar working on Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Hepatology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 538 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Neuroscience and Neural Engineering (8 papers), Lung Cancer Diagnosis and Treatment (7 papers), Medical Imaging and Pathology Studies (6 papers), MRI in cancer diagnosis (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Cognitive Neuroscience (237 citations), Hepatology (86 citations), Human-Computer Interaction (46 citations), Cellular and Molecular Neuroscience (105 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Lichao Xu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Minpeng Xu, Dong Ming, Tzyy‐Ping Jung, Yufeng Ke, Zheng Yuan, Xingwei An, Xinhong He, Shuang Liu, Wentao Li and Guodong Li. Their work appears in journals such as Journal of Neural Engineering, Journal of Clinical Oncology, Medical Physics, Water Research X and Cancer Imaging.

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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