Haonan Lu

27 papers receiving 869 citations

Haonan Lu's Hit Papers

Radiomics and artificial intelligence for precision medicine in lung cancer treatment 2023 · 99 citations
990+1+2Years since publication255075

Peers

Haonan Lu
Comparison fields: 5 of 89
  • Health Informatics 21
  • Cancer Research 225
  • Radiology, Nuclear Medicine and Imaging 319
  • Reproductive Medicine 115
  • Oncology 174
Replace Takafumi Koyama with:
Takafumi Koyama Japan
Celien P.H. Vreuls Netherlands
David Mysona United States
Yongmei Yin China
Salendra Singh United States
Federica Martorana Italy
Maud H. W. Starmans Netherlands
Keisuke Tamari Japan
Haonan Lu relative to Takafumi Koyama Japan Takafumi Koyama's profile →
Citations per field
00.5×10×16×
Takafumi Koyama · 1×
Citations per year

Countries citing papers authored by Haonan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haonan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016143
2 2019128
3 2015113
4
Radiomics and artificial intelligence for precision medicine in lung cancer treatment
Hit paper breakdown →
202399
5 201853
6 202340
7 201638
8 202131
9 202029
10 201923
11 202323
12 201023
13 202120
14 202116
15 202114
16 202012
17 202211
18 201811
19 201710
20 20199

About Haonan Lu

Haonan Lu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 27 papers that have together received 874 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Medical Imaging Techniques and Applications (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Health Informatics (21 citations), Cancer Research (225 citations), Radiology, Nuclear Medicine and Imaging (319 citations), Reproductive Medicine (115 citations) and Oncology (174 citations). Haonan Lu has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Eric O. Aboagye, Hani Gabra, Susan J. Copley, Mitchell Chen, Patrizia Viola, Andrea Rockall, Christina Fotopoulou, Mubarik Arshad, Giacomo Avesani and Paula Cunnea. Their work appears in journals such as Nature Communications, British Journal of Cancer, Scientific Reports, Pharmaceutics and European Journal of Nuclear Medicine and Molecular 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.

Explore authors with similar magnitude of impact