Mingqi Lu

486 citations
21 papers · 346 · h-index 11

Impact in

Papers in

Mingqi Lu

20 papers receiving 340 citations

Peers

Mingqi Lu
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 170
  • Automotive Engineering 87
  • Human-Computer Interaction 30
  • Safety, Risk, Reliability and Quality 40
  • Experimental and Cognitive Psychology 37
Replace Lichao Yang with:
Lichao Yang United Kingdom
Yehya Abouelnaga Germany
Hesham M. Eraqi Egypt
Chihang Zhao China
Luis Unzueta Spain
Duy Tran United States
Igor Lashkov Russia
Mohammad Shahverdy Iran
Renran Tian United States
Mingqi Lu relative to Lichao Yang United Kingdom Lichao Yang's profile →
Citations per field
00.5×2.6×
Lichao Yang · 1×
Citations per year

Countries citing papers authored by Mingqi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingqi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Mingqi Lu, 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 Mingqi Lu Line = papers co-authored together Mingqi Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201975
2 201859
3 202038
4 201932
5 202029
6 200824
7 202116
8 202114
9 201912
10 202111
11 202210
12 20237
13 20184
14 20244
15
Position Prediction Based on Adaptive Multi-Order Markov Model
20103
16 20232
17 20252
18 20252
19 20221
20 20181

About Mingqi Lu

Mingqi Lu is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Safety, Risk, Reliability and Quality, Biomedical Engineering and Artificial Intelligence, having authored 21 papers that have together received 346 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Video Surveillance and Tracking Methods (8 papers), Autonomous Vehicle Technology and Safety (5 papers), Advanced Neural Network Applications (4 papers), Anomaly Detection Techniques and Applications (3 papers), Gait Recognition and Analysis (3 papers), Hand Gesture Recognition Systems (2 papers) and Fire Detection and Safety Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (170 citations), Automotive Engineering (87 citations), Human-Computer Interaction (30 citations), Safety, Risk, Reliability and Quality (40 citations) and Experimental and Cognitive Psychology (37 citations). Mingqi Lu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaobo Lu, Yaocong Hu, Chao Xie, James E. Braun, Minglu Qu, Zhao Li, Jianbo Chen, Davide Ziviani, Xuehong Song and Li Geng. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing, Signal Processing Image Communication and Applied Intelligence.

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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