Yujun Zeng

492 total citations
30 papers, 290 citations indexed

About

Yujun Zeng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Yujun Zeng has authored 30 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Automotive Engineering. Recurrent topics in Yujun Zeng's work include Reinforcement Learning in Robotics (9 papers), Autonomous Vehicle Technology and Safety (8 papers) and Machine Learning and ELM (4 papers). Yujun Zeng is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Autonomous Vehicle Technology and Safety (8 papers) and Machine Learning and ELM (4 papers). Yujun Zeng collaborates with scholars based in China, South Korea and Australia. Yujun Zeng's co-authors include Xin Xu, Yuqiang Fang, Dayong Shen, Qiang Fang, Seul Jung, Bo Chen, Xiaolin Liu, Sihang Zhou, Daxue Liu and Xiaohui Li and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Sustainability and Remote Sensing.

In The Last Decade

Yujun Zeng

23 papers receiving 281 citations

Peers

Yujun Zeng
Comparison fields: 5 of 71
  • Artificial Intelligence 117
  • Computer Vision and Pattern Recognition 113
  • Automotive Engineering 74
  • Control and Systems Engineering 40
  • Media Technology 35
Replace Jahongir Azimjonov with:
Jahongir Azimjonov South Korea
Ying Lv China
Chalavadi Vishnu India
Chenxu Dai China
Honghong Yang China
Huilin Yin China
Qingming Yao China
Beihao Xia China
T. Huang United States
Christos Tzomakas Germany
Jahongir Azimjonov South Korea View profile →
Citations per field, relative to Yujun Zeng
Yujun Zeng · 1×
Citations per year, relative to Yujun Zeng
Yujun Zeng · 1×

Countries citing papers authored by Yujun Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Yujun Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujun Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Yujun Zeng. A scholar is included among the top collaborators of Yujun Zeng 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 Yujun Zeng. Yujun Zeng 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 3
5 2
6 6
7 0
8 13
9 10
10 8
11 3
12 0
13 0
14 1
15 18
16 2
17 5
18 13
19 91
20
ASPN-based Modeling and Simulation of Equipment Battlefield Repair
0

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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