Herng-Hua Chang

1.2k total citations
50 papers, 833 citations indexed

About

Herng-Hua Chang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Herng-Hua Chang has authored 50 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Herng-Hua Chang's work include Medical Image Segmentation Techniques (27 papers), Image and Signal Denoising Methods (14 papers) and Advanced Image Fusion Techniques (14 papers). Herng-Hua Chang is often cited by papers focused on Medical Image Segmentation Techniques (27 papers), Image and Signal Denoising Methods (14 papers) and Advanced Image Fusion Techniques (14 papers). Herng-Hua Chang collaborates with scholars based in Taiwan, United States and Netherlands. Herng-Hua Chang's co-authors include J. Michael Fitzpatrick, Chia-Chi Sung, Daniel J. Valentino, Mao-Hsiung Chiang, Cheng‐Yuan Li, Tony W. H. Sheu, Chiu‐Wing Winnie Chu, Arthur W. Toga, Gary Duckwiler and Ming‐Chang Chiang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Herng-Hua Chang

49 papers receiving 812 citations

Peers

Herng-Hua Chang
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 468
  • Radiology, Nuclear Medicine and Imaging 338
  • Media Technology 143
  • Biomedical Engineering 66
  • Artificial Intelligence 65
Replace Jianhua Yang with:
Jianhua Yang China
Jean‐Louis Dillenseger France
E.-J.D. Pol Netherlands
Tammy Riklin Raviv Israel
Petra A. van den Elsen United States
Biting Yu China
Travis McPhail United States
Dong Hye Ye United States
Jin Tang China
S. Kovacic Slovenia
Jianhua Yang China View profile →
Citations per field, relative to Herng-Hua Chang
Herng-Hua Chang · 1×
Citations per year, relative to Herng-Hua Chang
Herng-Hua Chang · 1×

Countries citing papers authored by Herng-Hua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Herng-Hua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Herng-Hua Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Herng-Hua Chang. A scholar is included among the top collaborators of Herng-Hua Chang 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 Herng-Hua Chang. Herng-Hua Chang 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 1
2 0
3 5
4 5
5 6
6 10
7 14
8 15
9 1
10 8
11 8
12 19
13 3
14 3
15 18
16 13
17 11
18 18
19 20
20 314

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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