Ming Gu

2.8k citations
203 papers · 2.2k · h-index 25

Impact in

Papers in

Ming Gu

189 papers receiving 2.1k citations

Peers

Ming Gu
Comparison fields: 5 of 81
  • Software 170
  • Computer Networks and Communications 527
  • Computational Theory and Mathematics 369
  • Building and Construction 298
  • Hardware and Architecture 146
Replace Nicola Mazzocca with:
Nicola Mazzocca Italy
Francisco Luna Spain
Gérard Memmi France
Juan José Durillo Spain
Yiu-Wing Leung Hong Kong
Zongmin Ma China
Marco Gribaudo Italy
Mohamed Salah Khalgui Tunisia
Xiaoyu Song United States
Ali Movaghar Iran
Ming Gu relative to Nicola Mazzocca Italy Nicola Mazzocca's profile →
Citations per field
00.5×2×4×6×8×9.0×
Nicola Mazzocca · 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 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012171
2 201585
3 201378
4 201678
5 201552
6 201949
7 201246
8 201944
9 201242
10 201442
11 201039
12 201039
13 201137
14 201437
15 202234
16 201732
17 200731
18 201730
19 201029
20 201829

About Ming Gu

Ming Gu is a scholar working on Computational Theory and Mathematics, Software, Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 203 papers that have together received 2.2k indexed citations. Recurring topics across this work include Formal Methods in Verification (56 papers), Software Testing and Debugging Techniques (25 papers), Logic, programming, and type systems (17 papers), Embedded Systems Design Techniques (10 papers), Real-Time Systems Scheduling (10 papers), Mobile Ad Hoc Networks (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and BIM and Construction Integration (7 papers). The work is most often cited by research in Software (170 citations), Computer Networks and Communications (527 citations), Computational Theory and Mathematics (369 citations), Building and Construction (298 citations) and Hardware and Architecture (146 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, Xibin Zhao, Zhiguo Wan, William N. N. Hung, Hehua Zhang and Fei He. Their work appears in journals such as Mathematical and Computer Modelling, IEEE Transactions on Industrial Electronics, IEEE Transactions on Computers, Automation in Construction and IEEE Transactions on Industrial Informatics.

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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