Mingliang Gu

817 citations
45 papers · 537 indexed · h-index 13
Topics
Speech Recognition and Synthesis (8 papers)Music and Audio Processing (5 papers)Natural Language Processing Techniques (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Mingliang Gu

38 papers receiving 526 citations

Peers

Mingliang Gu
Comparison fields: 5 of 103
  • Molecular Biology 241
  • Genetics 137
  • Endocrine and Autonomic Systems 71
  • Physiology 56
  • Endocrinology, Diabetes and Metabolism 54
Replace Seema Aggarwal with:
Seema Aggarwal India
Andreas Koller Austria
Scott Davidson United Kingdom
Wen Su United States
Solveig K. Sieberts United States
Susanna S. Wang United States
Krzysztof Mazuruk United States
Kathleen J. Krentz United States
Yingchang Lu United States
Sumei Lu United States
Mingliang Gu relative to Seema Aggarwal India Seema Aggarwal's profile →
Citations per field
00.5×7.4×
Seema Aggarwal · 1×
Citations per year

Countries citing papers authored by Mingliang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mingliang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingliang Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingliang Gu. A scholar is included among the top collaborators of Mingliang Gu 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 Mingliang Gu. Mingliang Gu 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
#WorkIndexed citations
1 0
2 0
3 0
4 7
5 3
6 3
7 17
8 2
9 31
10 8
11 81
12 8
13 16
14 9
15 42
16
Effect of fermentation on anti-nutritional factor contents and adsorption of dietary fiber for Ca~(2+),Mg~(2+),Pb~(2+)
1
17 29
18 7
19 3
20
Phonotatics Based Chinese Dialects Identification
0

About Mingliang Gu

Mingliang Gu is a scholar working on General Engineering, Signal Processing and Artificial Intelligence, having authored 45 papers that have together received 537 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Music and Audio Processing (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (71 citations), Aging (14 citations) and Genetics (137 citations). Mingliang Gu has collaborated with scholars based in China and United States. Frequent co-authors include Jun Yu, Xiaoqun Dong, Wenquan Niu, Yong‐Biao Zhang, Xuezhi Zhang, Binbin Wang, Zhuqin Gu, Yanning Cai, Hui Ding and Yanli Zhang. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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