Hexin Chen

4.6k citations
190 papers · 3.5k · 1 hit paper · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Cancer Cells and Metastasis

Papers in

Hexin Chen

178 papers receiving 3.5k citations

Hexin Chen's Hit Papers

Early-onset colorectal cancer: initial clues and current views 2020 · 291 citations
2910+2+4Years since publication50100150200250

Peers

Hexin Chen
Comparison fields: 5 of 171
  • Cancer Research 655
  • Oncology 883
  • Molecular Biology 1.7k
  • Acoustics and Ultrasonics 16
  • Otorhinolaryngology 68
Replace Karthik Devarajan with:
Karthik Devarajan United States
Tetsuya Higuchi Japan
Chang‐Soo Park South Korea
Dalia Cohen United States
Tianhong Li United States
Mike Partridge United Kingdom
Zhenyu Zhang China
Martin Gasser Germany
Steve Goodison United States
Hexin Chen relative to Karthik Devarajan United States Karthik Devarajan's profile →
Citations per field
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Karthik Devarajan · 1×
Citations per year

Countries citing papers authored by Hexin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hexin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011380
2
Early-onset colorectal cancer: initial clues and current views
Hit paper breakdown →
2020291
3 2006168
4 2010139
5 2011130
6 2003117
7 2020111
8 201394
9 201181
10 200779
11 201876
12 201373
13 200373
14 202264
15 201862
16 200759
17 200859
18 201458
19 201156
20 201654

About Hexin Chen

Hexin Chen is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing, Oncology and Cancer Research, having authored 190 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (33 papers), Advanced Data Compression Techniques (27 papers), Video Coding and Compression Technologies (27 papers), Cancer Cells and Metastasis (17 papers), Video Analysis and Summarization (14 papers), Image and Signal Denoising Methods (13 papers), MicroRNA in disease regulation (13 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Cancer Research (655 citations), Oncology (883 citations), Molecular Biology (1.7k citations), Acoustics and Ultrasonics (16 citations) and Otorhinolaryngology (68 citations). Hexin Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Saraswati Sukumar, Pang‐Kuo Lo, Qian Wang, Walden Ai, Jie Fu, Franklin G. Berger, Jing Li, Swapan K. Ray, Shiang Huang and Heng Zheng. Their work appears in journals such as Cancer Research, Oncogene, Nature Communications, Journal of Virology and PROTEOMICS.

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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