Ming Zhu

2.0k citations
126 papers · 1.4k indexed · 1 hit paper · h-index 18
Topics
Flow Measurement and Analysis (20 papers)Advanced Sensor Technologies Research (17 papers)Atmospheric aerosols and clouds (10 papers)

In The Last Decade

Ming Zhu

115 papers receiving 1.2k citations

Hit Papers

HAST-IDS: Learning Hierarchical Spatial-Temporal Features...20172026202020232017100200300400

Peers

Ming Zhu
Comparison fields: 5 of 125
  • Computer Networks and Communications 453
  • Artificial Intelligence 442
  • Electrical and Electronic Engineering 240
  • Biomedical Engineering 229
  • Signal Processing 185
Replace Zhi Zhang with:
Zhi Zhang China
Gang Liu China
Paul A. Reneke United States
Ningfei Wang China
Zhihui Wang China
Yabo Li China
Zhiwen Pan China
Shujuan Wang China
Jung‐Ho Park South Korea
Yanyan Liu China
Ming Zhu relative to Zhi Zhang China Zhi Zhang's profile →
Citations per field
00.5×4.7×
Zhi Zhang · 1×
Citations per year

Countries citing papers authored by Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhu. A scholar is included among the top collaborators of Ming Zhu 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 Zhu. Ming Zhu 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 1
2 6
3 3
4 0
5 9
6 2
7 5
8 4
9 10
10 4
11 6
12 19
13 6
14 6
15 7
16 8
17 24
18 48
19 20
20 1

About Ming Zhu

Ming Zhu is a scholar working on Safety, Risk, Reliability and Quality, Media Technology and Statistics, Probability and Uncertainty, having authored 126 papers that have together received 1.4k indexed citations. Recurring topics across this work include Flow Measurement and Analysis (20 papers), Advanced Sensor Technologies Research (17 papers) and Atmospheric aerosols and clouds (10 papers). The work is most often cited by research in Computer Networks and Communications (453 citations), Signal Processing (185 citations) and Artificial Intelligence (442 citations). Ming Zhu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinlin Wang, Wei Wang, Xuewen Zeng, Yongzhong Huang, Xiaozhou Ye, Yiqiang Sheng, Kesheng Zhang, Shu Wang, Tingting Liu and Elizabeth Evans Getzel. Their work appears in journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Construction and Building Materials.

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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