Di Li

1.1k total citations · 1 hit paper
12 papers, 659 citations indexed

About

Di Li is a scholar working on Biophysics, Cell Biology and Molecular Biology. According to data from OpenAlex, Di Li has authored 12 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 4 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Di Li's work include Advanced Fluorescence Microscopy Techniques (7 papers), Cellular Mechanics and Interactions (3 papers) and Cell Image Analysis Techniques (3 papers). Di Li is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), Cellular Mechanics and Interactions (3 papers) and Cell Image Analysis Techniques (3 papers). Di Li collaborates with scholars based in China, United Kingdom and Denmark. Di Li's co-authors include Dong Li, Yuting Guo, Qionghai Dai, Chang Qiao, Chong Liu, Tao Jiang, Marco Fritzsche, Huw Colin‐York, Emad Moeendarbary and Veronica T. Chang and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Nature Biotechnology.

In The Last Decade

Di Li

11 papers receiving 627 citations

Hit Papers

Evaluation and development of deep neural networks for im... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers

Di Li
Comparison fields: 5 of 95
  • Biophysics 329
  • Biomedical Engineering 218
  • Cell Biology 147
  • Atomic and Molecular Physics, and Optics 135
  • Media Technology 129
Replace Ondřej Mandula with:
Ondřej Mandula France
Nils Norlin Sweden
Heng Mao China
Laurène Donati Switzerland
Dylan Bannon United States
Daryl Lim United States
Bryant B. Chhun United States
Klaus Greger Germany
Kevin C. Zhou United States
David Albrecht United Kingdom
Ondřej Mandula France View profile →
Citations per field, relative to Di Li
Di Li · 1×
Citations per year, relative to Di Li
Di Li · 1×

Countries citing papers authored by Di Li

Since Specialization
Citations

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

Fields of papers citing papers by Di Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Li

This figure shows the co-authorship network connecting the top 25 collaborators of Di Li. A scholar is included among the top collaborators of Di Li 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 Di Li. Di Li 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 8
2 4
3 34
4 0
5 123
6 46
7 40
8
Evaluation and development of deep neural networks for image super-resolution in optical microscopy breakdown →
277
9 13
10 94
11 19
12 1

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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