Li‐Da Chen

3.4k citations
164 papers · 2.4k · h-index 26

Impact in

Papers in

    • Obstructive Sleep Apnea Research 30
    • Hepatocellular Carcinoma Treatment and Prognosis 23

Li‐Da Chen

152 papers receiving 2.4k citations

Peers

Li‐Da Chen
Comparison fields: 5 of 131
  • Hepatology 557
  • Health Informatics 37
  • Radiology, Nuclear Medicine and Imaging 315
  • Endocrine and Autonomic Systems 86
  • Epidemiology 393
Replace Feng Chen with:
Feng Chen China
Jian Yang China
Takeshi Aoki Japan
Takashi Yoshida Japan
Yu-Jie Huang Taiwan
Amit Gupta United States
Seong Hoon Kim South Korea
Timothy J. Maguire United States
Xiaoqing Liu China
Mimi Kim South Korea
Li‐Da Chen relative to Feng Chen China Feng Chen's profile →
Citations per field
00.5×9.6×
Feng Chen · 1×
Citations per year

Countries citing papers authored by Li‐Da Chen

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Da Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Da Chen. 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 Li‐Da Chen. The network helps show where Li‐Da Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009125
2 2009107
3 201898
4 201578
5 202064
6 202457
7 201854
8 202148
9 201346
10 201944
11 201443
12 202043
13 201841
14 202041
15 201538
16 201836
17 201635
18 200834
19 201333
20 201831

About Li‐Da Chen

Li‐Da Chen is a scholar working on Physiology, Hepatology, Surgery, Materials Chemistry and Epidemiology, having authored 164 papers that have together received 2.4k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (30 papers), Hepatocellular Carcinoma Treatment and Prognosis (23 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Liver Disease Diagnosis and Treatment (8 papers), 2D Materials and Applications (7 papers), Advanced Photocatalysis Techniques (7 papers), Chalcogenide Semiconductor Thin Films (5 papers) and Ultrasound and Hyperthermia Applications (5 papers). The work is most often cited by research in Hepatology (557 citations), Health Informatics (37 citations), Radiology, Nuclear Medicine and Imaging (315 citations), Endocrine and Autonomic Systems (86 citations) and Epidemiology (393 citations). Li‐Da Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming‐De Lu, Xiaoyan Xie, Wei Wang, Guangjian Liu, Zuo‐Feng Xu, Jinyu Liang, Zhu Wang, Manxia Lin, Yang Huang and Ming Kuang. Their work appears in journals such as Sleep And Breathing, European Radiology, European Archives of Oto-Rhino-Laryngology, Medicine and Abdominal Radiology.

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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