Hongcheng Mai

1.4k citations
21 papers · 359 indexed · h-index 10
Topics
Advanced Fluorescence Microscopy Techniques (5 papers)Acute Ischemic Stroke Management (4 papers)Cell Image Analysis Techniques (4 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaNature reviews. Cancer
Partner nations
ChinaGermanyAustria

In The Last Decade

Hongcheng Mai

19 papers receiving 358 citations

Peers

Hongcheng Mai
Comparison fields: 5 of 85
  • Molecular Biology 149
  • Biophysics 74
  • Biomedical Engineering 64
  • Radiology, Nuclear Medicine and Imaging 62
  • Neurology 38
Replace Linjing Fang with:
Linjing Fang United States
Tomas Alanentalo Sweden
A Segawa Japan
Michael S. Regan United States
Nathan Cho United States
Richard Kasprowicz United Kingdom
Xiaoxue Fan China
J Ricardo McFaline-Figueroa United States
Mita Patel United States
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Citations per field
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Linjing Fang · 1×
Citations per year

Countries citing papers authored by Hongcheng Mai

Since Specialization
Citations

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

Fields of papers citing papers by Hongcheng Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongcheng Mai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 0
4 4
5 6
6 6
7 38
8 10
9 1
10 51
11 35
12 6
13 43
14 72
15
Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3D
2
16 19
17 20
18 5
19 1
20 12

About Hongcheng Mai

Hongcheng Mai is a scholar working on Biophysics, Neurology and Cancer Research, having authored 21 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (5 papers), Acute Ischemic Stroke Management (4 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Biophysics (74 citations), Structural Biology (7 citations) and Neurology (38 citations). Hongcheng Mai has collaborated with scholars based in China, Germany and Austria. Frequent co-authors include Ali Ertürk, Mihail Ivilinov Todorov, Dan Lu, Zhouyi Rong, Chenchen Pan, Jiankun Zang, Shan Zhao, Lingling Shen, Ruiyao Cai and Hongwei Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

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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