Huang Chen

527 total citations
39 papers, 338 citations indexed

About

Huang Chen is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Huang Chen has authored 39 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Huang Chen's work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Huang Chen is often cited by papers focused on AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Treatments and Mutations (3 papers). Huang Chen collaborates with scholars based in China, United States and Saudi Arabia. Huang Chen's co-authors include Chenggui Liu, Yan Ma, Jun Luo, Khizar Hayat, Heping Cui, Chi‐Tang Ho, Xiaoming Zhang, Dingrong Zhong, Hongliang Bao and Lin Ma and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Cleaner Production and Food Chemistry.

In The Last Decade

Huang Chen

34 papers receiving 335 citations

Peers

Huang Chen
Comparison fields: 5 of 102
  • Radiology, Nuclear Medicine and Imaging 62
  • Materials Chemistry 59
  • Inorganic Chemistry 56
  • Molecular Biology 51
  • Pulmonary and Respiratory Medicine 48
Replace Zhaohe Wang with:
Zhaohe Wang China
Philippe Moulin France
Haige Li China
Yudai Hirano Japan
Yizhong Li China
Hussain Almohiy Saudi Arabia
Serdar Aktaş Türkiye
Xiaohan Huang China
Xueming Chen China
Ruijun Guo China
Zhaohe Wang China View profile →
Citations per field, relative to Huang Chen
Huang Chen · 1×
Citations per year, relative to Huang Chen
Huang Chen · 1×

Countries citing papers authored by Huang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Huang Chen. A scholar is included among the top collaborators of Huang 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 Huang Chen. Huang 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 0
2 1
3 0
4 1
5 1
6 0
7 2
8 12
9 3
10 2
11 31
12 8
13 10
14 28
15
An international comparative research of the climate adaptation governance and its strategic implications
2
16 14
17 4
18 31
19 6
20
Benchmark Interest Rate in China
0

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

Rankless by CCL
2026