Mingyu Lu

1.4k total citations
124 papers, 811 citations indexed

About

Mingyu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Mingyu Lu has authored 124 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 45 papers in Computer Vision and Pattern Recognition and 28 papers in Computational Theory and Mathematics. Recurrent topics in Mingyu Lu's work include Topic Modeling (19 papers), Rough Sets and Fuzzy Logic (19 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Mingyu Lu is often cited by papers focused on Topic Modeling (19 papers), Rough Sets and Fuzzy Logic (19 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Mingyu Lu collaborates with scholars based in China, United States and Spain. Mingyu Lu's co-authors include Zhi Liu, Weiguo Yi, Panpan Niu, Xiangyang Wang, Yijia Zhang, Chunli Wang, Yiping Yang, Jun Wu, Yunan Liu and Ming Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Mingyu Lu

108 papers receiving 758 citations

Peers

Mingyu Lu
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 347
  • Artificial Intelligence 309
  • Information Systems 109
  • Computational Theory and Mathematics 93
  • Molecular Biology 80
Replace Petr Somol with:
Petr Somol Czechia
Amir Masoud Eftekhari Moghadam Iran
Purushottam Kar India
Mehdi Agha Sarram Iran
Terry Windeatt United Kingdom
Yifan He China
Malay K. Pakhira India
Zhenyu Wu China
Jesús A. González Mexico
Marco Maggini Italy
Petr Somol Czechia View profile →
Citations per field, relative to Mingyu Lu
Mingyu Lu · 1×
Citations per year, relative to Mingyu Lu
Mingyu Lu · 1×

Countries citing papers authored by Mingyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyu Lu. A scholar is included among the top collaborators of Mingyu Lu 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 Mingyu Lu. Mingyu Lu 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 0
2 0
3 0
4 2
5 1
6 1
7 7
8 0
9 1
10 13
11 3
12 24
13 0
14 7
15 6
16 6
17 5
18 0
19
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment
1
20
Coronary Heart Disease Diagnosis Model Based on Weighted Bayesian Categorization
2

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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