Min Dou

493 citations
21 papers · 263 · 1 hit paper · h-index 8

Impact in

Papers in

Min Dou

16 papers receiving 256 citations

Min Dou's Hit Papers

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models 2024 · 122 citations
1220+1Years since publication4080120

Peers

Min Dou
Comparison fields: 5 of 65
  • Automotive Engineering 120
  • Biophysics 27
  • Computer Vision and Pattern Recognition 40
  • Safety, Risk, Reliability and Quality 8
  • Artificial Intelligence 26
Replace Markus Hofmarcher with:
Markus Hofmarcher Austria
Abdul Hannan Khan Pakistan
Sascha Saralajew Germany
Junchi Yan
Christian Birchler Switzerland
Junkang Zhang China
Xing Gao China
Xin Yue Li China
Min Dou relative to Markus Hofmarcher Austria Markus Hofmarcher's profile →
Citations per field
00.5×2×4×6×7.5×
Markus Hofmarcher · 1×
Citations per year

Countries citing papers authored by Min Dou

Since Specialization
Citations

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

Fields of papers citing papers by Min Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Dou, 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 Min Dou Line = papers co-authored together Min Dou 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
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Hit paper breakdown →
2024122
2 201134
3 202425
4 202314
5 202314
6 201713
7 202410
8 20239
9 20228
10 20255
11 20222
12 20232
13 20131
14 20171
15 20231
16 20251
17 20251
18
Explorations on Development of Campus-oriented Public English Teaching Materials in High Vocational Colleges
20110
19 20240
20 20250

About Min Dou

Min Dou is a scholar working on Automotive Engineering, Information Systems, Pulmonary and Respiratory Medicine, Ecological Modeling and Molecular Biology, having authored 21 papers that have together received 263 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Brain Metastases and Treatment (2 papers), Information Systems Education and Curriculum Development (1 paper), Management and Performance Evaluation (1 paper), Labor Movements and Unions (1 paper), Acute Kidney Injury Research (1 paper), Data Analysis with R (1 paper) and Educational Technology and Assessment (1 paper). The work is most often cited by research in Automotive Engineering (120 citations), Biophysics (27 citations), Computer Vision and Pattern Recognition (40 citations), Safety, Risk, Reliability and Quality (8 citations) and Artificial Intelligence (26 citations). Min Dou has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Yu Qiao, Pinlong Cai, Licheng Wen, Daocheng Fu, Botian Shi, Xin Li, Rong Chen, Zufang Huang, Xiwen Chen and Haishan Zeng. Their work appears in journals such as BMC Cancer, Diabetes Metabolic Syndrome and Obesity, Remote Sensing, Trees and APOPTOSIS.

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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