Daifeng Li

64 papers receiving 1.7k citations

Peers

Daifeng Li
Comparison fields: 5 of 168
  • Biomedical Engineering 699
  • Library and Information Sciences 19
  • Statistics, Probability and Uncertainty 86
  • Materials Chemistry 480
  • General Social Sciences 34
Replace Yang Bao with:
Yang Bao China
Zhihao Yang China
Ying Cheng China
Andrew Dickson White United States
Weijun Xu China
Hailong Tian China
Katsuhide Fujita Japan
Jong-Ho Kim South Korea
Bhaskar Mukherjee India
Petko Bogdanov United States
Daifeng Li relative to Yang Bao China Yang Bao's profile →
Citations per field
00.5×12.3×
Yang Bao · 1×
Citations per year

Countries citing papers authored by Daifeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Daifeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021163
2 2019159
3 2020130
4 2019106
5 201089
6 201986
7 202276
8 202165
9 202365
10 202161
11 202258
12 202356
13 202242
14 201042
15 202131
16 201930
17 201929
18 202028
19 201127
20 201227

About Daifeng Li

Daifeng Li is a scholar working on Biomedical Engineering, Artificial Intelligence, Molecular Biology, Management Science and Operations Research and Materials Chemistry, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (20 papers), Topic Modeling (10 papers), Advanced Text Analysis Techniques (9 papers), Complex Network Analysis Techniques (9 papers), Luminescence and Fluorescent Materials (8 papers), Opinion Dynamics and Social Influence (6 papers), Extracellular vesicles in disease (5 papers) and Photodynamic Therapy Research Studies (4 papers). The work is most often cited by research in Biomedical Engineering (699 citations), Library and Information Sciences (19 citations), Statistics, Probability and Uncertainty (86 citations), Materials Chemistry (480 citations) and General Social Sciences (34 citations). Daifeng Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhen Cheng, Ying Ding, Shuqing He, Yifan Wu, Cassidy R. Sugimoto, Baisong Chang, Andrew Madden, Terrell Russell, Chi Zhang and Quli Fan. Their work appears in journals such as Journal of Nanobiotechnology, Advanced Science, Journal of the Association for Information Science and Technology, Advanced Functional Materials and Frontiers in Pharmacology.

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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