Hao Chen

43.1k total citations · 18 hit papers
354 papers, 19.4k citations indexed

About

Hao Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hao Chen has authored 354 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Computer Vision and Pattern Recognition, 105 papers in Artificial Intelligence and 93 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hao Chen's work include Radiomics and Machine Learning in Medical Imaging (54 papers), AI in cancer detection (51 papers) and Advanced Neural Network Applications (40 papers). Hao Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (54 papers), AI in cancer detection (51 papers) and Advanced Neural Network Applications (40 papers). Hao Chen collaborates with scholars based in China, Hong Kong and United States. Hao Chen's co-authors include Pheng‐Ann Heng, Chunhua Shen, Zhi Tian, Qi Dou, Tong He, Jing Qin, Lequan Yu, Xiaojuan Qi, Chi‐Wing Fu and Xiaomeng Li and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Hao Chen

315 papers receiving 18.9k citations

Hit Papers

FCOS: Fully Convolutional One-Stage Object Detection 2016 2026 2019 2022 2019 2018 2016 2020 2016 1000 2.0k 3.0k

Peers

Hao Chen
Comparison fields: 5 of 211
  • Computer Vision and Pattern Recognition 9.7k
  • Artificial Intelligence 6.8k
  • Radiology, Nuclear Medicine and Imaging 5.9k
  • Biomedical Engineering 2.1k
  • Oncology 1.8k
Replace Pheng‐Ann Heng with:
Pheng‐Ann Heng Hong Kong
Jing Qin China
Jianming Liang United States
Sergey Ioffe United States
Nima Tajbakhsh United States
Scott Reed United States
Pierre Sermanet United States
Zbigniew Wojna United States
Andrew Rabinovich United States
Pheng‐Ann Heng Hong Kong View profile →
Citations per field, relative to Hao Chen
Hao Chen · 1×
Citations per year, relative to Hao Chen
Hao Chen · 1×

Countries citing papers authored by Hao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Chen. A scholar is included among the top collaborators of Hao Chen 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 Hao Chen. Hao Chen 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
# Work Indexed citations
1 4
2 6
3 0
4 0
5 0
6 5
7 5
8 6
9 0
10 5
11 0
12 16
13 3
14 6
15 148
16 29
17
FCOS: Fully Convolutional One-Stage Object Detection breakdown →
3976
18 118
19 66
20 23

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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