Hua-Mei Chen

696 citations
21 papers · 508 indexed · h-index 9

Hua-Mei Chen

19 papers receiving 474 citations

Peers

Hua-Mei Chen
Comparison fields: 5 of 88
  • Media Technology 150
  • Computer Vision and Pattern Recognition 323
  • Aerospace Engineering 145
  • Radiology, Nuclear Medicine and Imaging 63
  • Endocrinology 12
Replace Tingting Dan with:
Tingting Dan China
Saïd Ladjal France
Zhengzhou Li China
David W. Paglieroni United States
Bryan Chou United States
Clément Fredembach Switzerland
Gary E. Ford United States
Yan Yuan China
Yuanhao Cai China
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Countries citing papers authored by Hua-Mei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hua-Mei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20190
3 201766
4 201430
5 20136
6 201025
7 201010
8 20087
9 20074
10 20061
11 20061
12 20051
13 20042
14 200423
15 2003123
16 2003150
17 200324
18
Mutual information-based image registration with applications
20027
19
Sensor Fusion Algorithms and Performance Limits
20011
20 200025

About Hua-Mei Chen

Hua-Mei Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging and Geometry and Topology, having authored 21 papers that have together received 508 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Robotics and Sensor-Based Localization (4 papers), Image and Signal Denoising Methods (3 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Image Fusion Techniques (3 papers), Advanced Image Processing Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Media Technology (150 citations), Computer Vision and Pattern Recognition (323 citations), Aerospace Engineering (145 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Endocrinology (12 citations). Hua-Mei Chen has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Pramod K. Varshney, Manoj K. Arora, Richard Kidd, Bulent Ayhan, Minh N. Dao, Chiman Kwan, James F. Bell, Mohamed Slamani, Aashish Goela and Gregory J. Garvin. Their work appears in journals such as IEEE Transactions on Medical Imaging, Cell Biochemistry and Biophysics, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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