Hexin Chen

4.5k citations
186 papers · 3.4k indexed · 1 hit paper · h-index 30

Hexin Chen

176 papers receiving 3.3k citations

Hit Papers

Early-onset colorectal cancer: initial clues and current ...269202020262022202450100150200250

Peers

Hexin Chen
Comparison fields: 5 of 171
  • Cancer Research 725
  • Oncology 975
  • Molecular Biology 1.8k
  • Otorhinolaryngology 82
  • Acoustics and Ultrasonics 15
Replace Tetsuya Higuchi with:
Tetsuya Higuchi Japan
Karthik Devarajan United States
Dalia Cohen United States
Chang‐Soo Park South Korea
Tianhong Li United States
Koïchi Shimizu Japan
Martin Gasser Germany
Mike Partridge United Kingdom
Mukund Seshadri United States
Hexin Chen relative to Tetsuya Higuchi Japan Tetsuya Higuchi's profile →
Citations per field
00.5×1.5×2.2×
Tetsuya Higuchi · 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-authorship network

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
#Work
1 202415
2 20239
3 20233
4 202014
5
The serum proteomics tracking of hepatocellular carcinoma early recurrence following radical resection
20193
6 201862
7 201868
8 201813
9 201817
10 201654
11 201450
12
A survey of Wireless Sensor Networks
201215
13
Registration of Depth and Video Data Based on Edge Detection
20112
14 2010131
15
Modified algebraic reconstruction algorithm and its implementation
20091
16
Embedded Audio-video Synchronization Method Based on AVS
20093
17 200859
18
Algorithm of Moving Point Targets Detection from Gauss Stationary Random Field
20060
19 20054
20
Fast fractal image coding approach based on invariant features of variances
20022

About Hexin Chen

Hexin Chen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Otorhinolaryngology, having authored 186 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (30 papers), Advanced Data Compression Techniques (28 papers), Video Coding and Compression Technologies (27 papers), Cancer Cells and Metastasis (17 papers), Head and Neck Surgical Oncology (14 papers), Image and Signal Denoising Methods (14 papers), Video Analysis and Summarization (13 papers) and MicroRNA in disease regulation (13 papers). The work is most often cited by research in Cancer Research (725 citations), Oncology (975 citations) and Molecular Biology (1.8k 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, Jing Li, Heng Zheng, Franklin G. Berger, Shiang Huang and Swapan K. Ray. Their work appears in journals such as Cancer Research, Nature Communications, Oncogene, Scientific Reports and Chemical Engineering Journal.

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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