Mingjiang Wang

1.8k citations
148 papers · 1.3k · h-index 16

Impact in

Papers in

Mingjiang Wang

127 papers receiving 1.2k citations

Peers

Mingjiang Wang
Comparison fields: 5 of 104
  • Signal Processing 376
  • Artificial Intelligence 409
  • Cognitive Neuroscience 181
  • Computational Mechanics 162
  • Experimental and Cognitive Psychology 97
Replace James M. Gilbert with:
James M. Gilbert United Kingdom
Mahesh Chandra India
Javier Macías-Guarasa Spain
Xiaodong Li China
Mike Brookes United Kingdom
Fang Zheng China
Joon‐Hyuk Chang South Korea
Laurent Girin France
Pradip Sircar India
Zied Lachiri Tunisia
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Citations per field
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Citations per year

Countries citing papers authored by Mingjiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingjiang Wang. 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 Mingjiang Wang. The network helps show where Mingjiang Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016113
2 2015113
3 2020112
4 201961
5 202156
6 201955
7 201650
8 202048
9 202028
10 201924
11 201723
12 202123
13 202122
14 202020
15 202120
16 201519
17 202016
18 201716
19 202314
20 202314

About Mingjiang Wang

Mingjiang Wang is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 148 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (45 papers), Advanced Adaptive Filtering Techniques (31 papers), Speech Recognition and Synthesis (25 papers), Blind Source Separation Techniques (16 papers), EEG and Brain-Computer Interfaces (12 papers), Hearing Loss and Rehabilitation (11 papers), Music and Audio Processing (11 papers) and Numerical Methods and Algorithms (10 papers). The work is most often cited by research in Signal Processing (376 citations), Artificial Intelligence (409 citations), Cognitive Neuroscience (181 citations), Computational Mechanics (162 citations) and Experimental and Cognitive Psychology (97 citations). Mingjiang Wang has collaborated with scholars based in China, Hong Kong and Pakistan. Frequent co-authors include Qiquan Zhang, Yun He Lu, Jiandong Yang, Xu Lai, Aaron Nicolson, Chenxu Wang, Kuldip K. Paliwal, Yufei Han, Wencheng Guo and Chengxi Zhang. Their work appears in journals such as Electronics, Applied Sciences, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Access and Biomedical Signal Processing and Control.

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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