Ming-Ju Wu

729 total citations
25 papers, 561 citations indexed

About

Ming-Ju Wu is a scholar working on Nephrology, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming-Ju Wu has authored 25 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 6 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming-Ju Wu's work include Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers) and Music Technology and Sound Studies (4 papers). Ming-Ju Wu is often cited by papers focused on Music and Audio Processing (6 papers), Speech and Audio Processing (5 papers) and Music Technology and Sound Studies (4 papers). Ming-Ju Wu collaborates with scholars based in Taiwan and United States. Ming-Ju Wu's co-authors include Jyh‐Shing Roger Jang, Cheng‐Hsu Chen, Kuo‐Hsiung Shu, Shang‐Feng Tsai, Chien‐Te Lee, Mingli Hsieh, Kwan‐Dun Wu, Yu‐Sen Peng, I‐Wen Wu and Zhisheng Chen and has published in prestigious journals such as PLoS ONE, Kidney International and IEEE Access.

In The Last Decade

Ming-Ju Wu

21 papers receiving 533 citations

Peers

Ming-Ju Wu
Comparison fields: 5 of 87
  • Industrial and Manufacturing Engineering 256
  • Electrical and Electronic Engineering 216
  • Computer Vision and Pattern Recognition 96
  • Signal Processing 84
  • Nephrology 67
Replace Tuan Le with:
Tuan Le United States
R Porkodi India
Yi-Ran Sun China
Surajit Chattopadhyay India
Dheyaa Jasim Kadhim Iraq
Tian Zhang China
G. Taylor United Kingdom
Zhiwei Wu China
Seyed Abolghasem Mirroshandel Iran
Mohamed M. Fouad Egypt
Tuan Le United States View profile →
Citations per field, relative to Ming-Ju Wu
Ming-Ju Wu · 1×
Citations per year, relative to Ming-Ju Wu
Ming-Ju Wu · 1×

Countries citing papers authored by Ming-Ju Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ju Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Ju Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Ju Wu. A scholar is included among the top collaborators of Ming-Ju Wu 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-Ju Wu. Ming-Ju Wu 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 0
2 4
3 4
4 6
5 10
6 7
7 13
8 30
9 40
10
MIREX 2011 SUBMISSION – COMBINING VISUAL AND ACOUSTIC FEATURES FOR MUSIC GENRE CLASSIFICATION
0
11 3
12 278
13 42
14
MIREX 2012 Submissions - Combining Acoustic and Multi-level Visual Features for Music Genre Classification
2
15 0
16 8
17
Proteinuria over 7 G per Day Predicts Non-Diabetic Nephropathy in Type 2 Diabetic Patients
1
18 7
19
Effect of corticosteroid and cyclophosphamide in IgA nephropathy patients with heavy proteinuria and/or moderate-severe pathological changes.
6
20 13

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026