Minghu Wu

1.1k total citations · 1 hit paper
38 papers, 833 citations indexed

About

Minghu Wu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Minghu Wu has authored 38 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Minghu Wu's work include Advanced Battery Technologies Research (8 papers), Fault Detection and Control Systems (7 papers) and Video Surveillance and Tracking Methods (5 papers). Minghu Wu is often cited by papers focused on Advanced Battery Technologies Research (8 papers), Fault Detection and Control Systems (7 papers) and Video Surveillance and Tracking Methods (5 papers). Minghu Wu collaborates with scholars based in China, Netherlands and Singapore. Minghu Wu's co-authors include Nan Zhao, Ying‐Chang Liang, Dusit Niyato, Yiyang Pei, Yunhao Jiang, Feng Ding, Feifei Wang, Ling Xu, Fan Zhang and Nan Zhao and has published in prestigious journals such as Journal of The Electrochemical Society, Organic Letters and IEEE Transactions on Wireless Communications.

In The Last Decade

Minghu Wu

35 papers receiving 809 citations

Hit Papers

Deep Reinforcement Learning for User Association and Reso... 2019 2026 2021 2023 2019 100 200 300

Peers

Minghu Wu
Comparison fields: 5 of 86
  • Control and Systems Engineering 303
  • Electrical and Electronic Engineering 303
  • Computer Networks and Communications 236
  • Artificial Intelligence 189
  • Computer Vision and Pattern Recognition 90
Replace Francesco Tedesco with:
Francesco Tedesco Italy
Nan Zhao China
Nitish Chopra India
Qinruo Wang China
Sehraneh Ghaemi Iran
X.Z. Gao Finland
Tengfei Zhang China
Zeinab Montazeri Iran
Houman Zarrabi Iran
Huangang Wang China
Francesco Tedesco Italy View profile →
Citations per field, relative to Minghu Wu
Minghu Wu · 1×
Citations per year, relative to Minghu Wu
Minghu Wu · 1×

Countries citing papers authored by Minghu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Minghu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Minghu Wu. A scholar is included among the top collaborators of Minghu Wu 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 Minghu Wu. Minghu Wu 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
# Work Indexed citations
1 1
2 0
3 1
4 4
5 7
6 9
7 1
8 1
9 1
10 4
11 41
12 15
13 35
14 5
15
Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks breakdown →
335
16 6
17 51
18 7
19 1
20
Cluster Algorithm Based on Edge Density Distance
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026