Hua-Mei Chen

35 total papers · 694 total citations
21 papers, 509 citations indexed

About

Hua-Mei Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hua-Mei Chen has authored 21 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hua-Mei Chen's work include Medical Image Segmentation Techniques (12 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Image Processing Techniques (3 papers). Hua-Mei Chen is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Robotics and Sensor-Based Localization (4 papers) and Advanced Image Processing Techniques (3 papers). Hua-Mei Chen collaborates with scholars based in United States, China and India. Hua-Mei Chen's co-authors include Pramod K. Varshney, Manoj K. Arora, Minh N. Dao, James F. Bell, Bulent Ayhan, Chiman Kwan, Richard Kidd, Mohamed Slamani, Aashish Goela and Gregory J. Garvin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Medical Imaging and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Hua-Mei Chen

19 papers receiving 475 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua-Mei Chen 324 150 146 63 33 21 509
Hyun-Ho Choi 417 1.3× 222 1.5× 51 0.3× 33 0.5× 11 0.3× 23 567
Tao Fang 290 0.9× 206 1.4× 47 0.3× 52 0.8× 6 0.2× 42 566
Tingting Dan 238 0.7× 79 0.5× 96 0.7× 122 1.9× 10 0.3× 34 466
Dayong Tian 308 1.0× 88 0.6× 204 1.4× 9 0.1× 22 0.7× 25 563
David Stutz 323 1.0× 136 0.9× 41 0.3× 17 0.3× 17 0.5× 15 596
Wele Gedara Chaminda Bandara 218 0.7× 227 1.5× 48 0.3× 10 0.2× 18 0.5× 20 464
Chang Xu 345 1.1× 110 0.7× 173 1.2× 16 0.3× 5 0.2× 29 544
Zengyan Wu 248 0.8× 114 0.8× 104 0.7× 15 0.2× 6 0.2× 28 497
Lawrence A. Ray 258 0.8× 59 0.4× 68 0.5× 86 1.4× 11 0.3× 27 458
Chao Song 132 0.4× 298 2.0× 68 0.5× 25 0.4× 20 0.6× 32 599

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 of co-authors of Hua-Mei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hua-Mei Chen. A scholar is included among the top collaborators of Hua-Mei 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 Hua-Mei Chen. Hua-Mei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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