Ming-Jun Chen

800 total citations
7 papers, 611 citations indexed

About

Ming-Jun Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Ming-Jun Chen has authored 7 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Cognitive Neuroscience. Recurrent topics in Ming-Jun Chen's work include Image and Video Quality Assessment (5 papers), Advanced Image Fusion Techniques (3 papers) and Advanced Image Processing Techniques (3 papers). Ming-Jun Chen is often cited by papers focused on Image and Video Quality Assessment (5 papers), Advanced Image Fusion Techniques (3 papers) and Advanced Image Processing Techniques (3 papers). Ming-Jun Chen collaborates with scholars based in United States, China and Taiwan. Ming-Jun Chen's co-authors include Alan C. Bovik, Lawrence K. Cormack, Do-Kyoung Kwon, Che-Chun Su, Li-Hua Gong, Chia‐Wei Tsai and Tzonelih Hwang and has published in prestigious journals such as IEEE Transactions on Image Processing, Optik and Journal of Modern Optics.

In The Last Decade

Ming-Jun Chen

7 papers receiving 595 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming-Jun Chen United States 5 591 395 123 67 9 7 611
Y. Horita Japan 8 278 0.5× 184 0.5× 45 0.4× 31 0.5× 6 0.7× 17 308
Z. M. Parvez Sazzad Japan 8 340 0.6× 234 0.6× 37 0.3× 40 0.6× 2 0.2× 14 350
Jiebin Yan China 14 475 0.8× 248 0.6× 39 0.3× 46 0.7× 12 1.3× 47 515
Anna Tomaszewska Poland 4 306 0.5× 104 0.3× 39 0.3× 79 1.2× 12 1.3× 7 368
Massimo Fierro Italy 5 269 0.5× 93 0.2× 37 0.3× 137 2.0× 4 0.4× 7 305
Jiangtao Kuang United States 7 409 0.7× 130 0.3× 53 0.4× 257 3.8× 6 0.7× 14 455
Balasubramanyam Appina India 9 268 0.5× 197 0.5× 37 0.3× 23 0.3× 2 0.2× 28 312
Florian Ciurea Canada 7 330 0.6× 114 0.3× 34 0.3× 253 3.8× 6 0.7× 10 358
Atanas Boev Finland 10 172 0.3× 148 0.4× 55 0.4× 21 0.3× 37 4.1× 32 260
Pradip Paudyal Italy 11 304 0.5× 109 0.3× 27 0.2× 39 0.6× 43 4.8× 16 336

Countries citing papers authored by Ming-Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Jun Chen

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

All Works

7 of 7 papers shown
1.
Hwang, Tzonelih, et al.. (2023). Lightweight mediated quantum key distribution. Optik. 287. 171125–171125. 2 indexed citations
2.
Chen, Ming-Jun, et al.. (2019). Image compression and encryption scheme with hyper-chaotic system and mean error control. Journal of Modern Optics. 1–9. 2 indexed citations
3.
Chen, Ming-Jun, Che-Chun Su, Do-Kyoung Kwon, Lawrence K. Cormack, & Alan C. Bovik. (2013). Full-reference quality assessment of stereopairs accounting for rivalry. Signal Processing Image Communication. 28(9). 1143–1155. 292 indexed citations
4.
Chen, Ming-Jun, Lawrence K. Cormack, & Alan C. Bovik. (2013). No-Reference Quality Assessment of Natural Stereopairs. IEEE Transactions on Image Processing. 22(9). 3379–3391. 207 indexed citations
5.
Chen, Ming-Jun, Che-Chun Su, Do-Kyoung Kwon, Lawrence K. Cormack, & Alan C. Bovik. (2012). Full-reference quality assessment of stereoscopic images by modeling binocular rivalry. 721–725. 8 indexed citations
6.
Chen, Ming-Jun & Alan C. Bovik. (2011). No-reference image blur assessment using multiscale gradient. EURASIP Journal on Image and Video Processing. 2011(1). 65 indexed citations
7.
Chen, Ming-Jun & Alan C. Bovik. (2009). No-reference image blur assessment using multiscale gradient. 70–74. 35 indexed citations

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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