Min Fu

3.9k total citations
116 papers, 1.8k citations indexed

About

Min Fu is a scholar working on Electrical and Electronic Engineering, Physiology and Mechanical Engineering. According to data from OpenAlex, Min Fu has authored 116 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 17 papers in Physiology and 17 papers in Mechanical Engineering. Recurrent topics in Min Fu's work include Software System Performance and Reliability (14 papers), Cloud Computing and Resource Management (10 papers) and Alzheimer's disease research and treatments (9 papers). Min Fu is often cited by papers focused on Software System Performance and Reliability (14 papers), Cloud Computing and Resource Management (10 papers) and Alzheimer's disease research and treatments (9 papers). Min Fu collaborates with scholars based in China, Australia and United States. Min Fu's co-authors include Yehong Du, Roger W. Chan, Zhifang Dong, Huancong Zuo, Xudong Li, Mao Ye, Pei Xu, Yu Tian Wang, Neeraj Tirunagari and Ce Zhu and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Journal of Neurophysiology.

In The Last Decade

Min Fu

104 papers receiving 1.7k citations

Peers

Min Fu
Comparison fields: 5 of 162
  • Molecular Biology 447
  • Physiology 367
  • Artificial Intelligence 248
  • Computer Vision and Pattern Recognition 228
  • Epidemiology 188
Replace Jiangong Wang with:
Jiangong Wang China
Yongchao Li China
Yuanyuan Li China
Yongqing Zhang China
Xian Xiao United States
Qiong Wang China
Hua Han China
Tianhong Pan China
Xiong Zhang China
Jue Wang China
Jiangong Wang China View profile →
Citations per field, relative to Min Fu
Min Fu · 1×
Citations per year, relative to Min Fu
Min Fu · 1×

Countries citing papers authored by Min Fu

Since Specialization
Citations

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

Fields of papers citing papers by Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Fu. A scholar is included among the top collaborators of Min Fu 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 Min Fu. Min Fu 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 1
3 7
4 1
5 0
6 5
7 10
8 4
9 7
10 81
11 63
12 126
13 42
14 1
15
Challenges to error diagnosis in hadoop ecosystems
3
16 156
17
EFFECT OF SHOT PEENING TREATMENT ON STEAM OXIDATION RESISTANCE OF TP304H REHEATER TUBE
1
18 35
19 45
20 20

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