Xingchen Wu

1.5k citations
52 papers · 1.2k · h-index 20

Impact in

Papers in

Xingchen Wu

49 papers receiving 1.2k citations

Peers

Xingchen Wu
Comparison fields: 5 of 95
  • Pathology and Forensic Medicine 298
  • Radiology, Nuclear Medicine and Imaging 329
  • Animal Science and Zoology 133
  • Renewable Energy, Sustainability and the Environment 189
  • Catalysis 63
Replace Susan H. Hsu with:
Susan H. Hsu United States
Shanyu Chen China
Kenji Sugawara Japan
Guanghua Wang China
Wolfgang Pfützner Germany
Masakazu Hasegawa Japan
David S. Bardenstein United States
Julia Steitz Germany
H. Machida Japan
Ling Cao China
Xingchen Wu relative to Susan H. Hsu United States Susan H. Hsu's profile →
Citations per field
00.5×10×15×22.2×
Susan H. Hsu · 1×
Citations per year

Countries citing papers authored by Xingchen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xingchen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018221
2 201184
3 201163
4 202160
5 201857
6 201257
7 201655
8 200442
9 201936
10 201236
11 201133
12 201933
13 201832
14 201827
15 201125
16 201423
17 201123
18 200722
19 201321
20 201620

About Xingchen Wu

Xingchen Wu is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Animal Science and Zoology, Molecular Biology and Genetics, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (11 papers), MRI in cancer diagnosis (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Virus-based gene therapy research (8 papers), Multiple Sclerosis Research Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Viral Infections and Immunology Research (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (298 citations), Radiology, Nuclear Medicine and Imaging (329 citations), Animal Science and Zoology (133 citations), Renewable Energy, Sustainability and the Environment (189 citations) and Catalysis (63 citations). Xingchen Wu has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Pirkko‐Liisa Kellokumpu‐Lehtinen, Chenxin Cai, Prasun Dastidar, Hannu Eskola, Hannu Pertovaara, Ping Wu, Zhewei Cai, Yuan Gao, Qian Du and Yong Huang. Their work appears in journals such as Veterinary Sciences, Frontiers in Immunology, Molecular Imaging and Biology, The Journal of Immunology and Viruses.

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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