Ming Gu

203 papers receiving 2.2k citations

Peers

Ming Gu
Comparison fields: 5 of 121
  • Software 315
  • Hardware and Architecture 304
  • Computer Networks and Communications 725
  • Geology 151
  • Building and Construction 290
Replace Wolfgang Pree with:
Wolfgang Pree Austria
Marco Gribaudo Italy
Arun K. Somani United States
Nicola Mazzocca Italy
Sherif Abdelwahed United States
Shubhani Aggarwal India
Qi Zhu United States
Wolfgang Reif Germany
Valeria Vittorini Italy
Vyacheslav Kharchenko Ukraine
Ming Gu relative to Wolfgang Pree Austria Wolfgang Pree's profile →
Citations per field
00.5×10×15×20.7×
Wolfgang Pree · 1×
Citations per year

Countries citing papers authored by Ming Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012168
2 201586
3 201676
4 201367
5 201550
6 201247
7 201243
8 202042
9 201941
10 201441
11 201940
12 201040
13 201038
14 201437
15 201136
16 200333
17 202232
18 200732
19 201732
20 200832

About Ming Gu

Ming Gu is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Software and Hardware and Architecture, having authored 223 papers that have together received 2.2k indexed citations. Recurring topics across this work include Formal Methods in Verification (55 papers), Software Testing and Debugging Techniques (36 papers), Embedded Systems Design Techniques (25 papers), Real-Time Systems Scheduling (25 papers), Petri Nets in System Modeling (20 papers), Software Reliability and Analysis Research (19 papers), Software Engineering Research (18 papers) and Model-Driven Software Engineering Techniques (15 papers). The work is most often cited by research in Software (315 citations), Hardware and Architecture (304 citations), Computer Networks and Communications (725 citations), Geology (151 citations) and Building and Construction (290 citations). Ming Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaoyu Song, Jiaguang Sun, Yu Jiang, Yu-Shen Liu, Ge Gao, Zhiguo Wan, Xibin Zhao, Hehua Zhang, William N. N. Hung and Fei He. Their work appears in journals such as Mathematical and Computer Modelling, IEEE Transactions on Industrial Electronics, IEEE Transactions on Computers, IEEE Transactions on Industrial Informatics and Tsinghua Science & Technology.

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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