Mingjie Wang
- Computer Vision and Pattern Recognition top 5%
- Safety, Risk, Reliability and Quality top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Global and Planetary Change
- Co-authors
- Minglun GongXian-Feng HanHao CaiJesse S. JinLiping XiaoWei JiangLei GaoXin Huang
- Topics
- Video Surveillance and Tracking Methods (8 papers)Advanced biosensing and bioanalysis techniques (5 papers)Graphene and Nanomaterials Applications (4 papers)
- Cited by
- Safety, Risk, Reliability and QualityComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
In The Last Decade
Mingjie Wang
26 papers receiving 324 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 209
- Safety, Risk, Reliability and Quality 104
- Artificial Intelligence 75
- Electrical and Electronic Engineering 33
- Global and Planetary Change 27
Countries citing papers authored by Mingjie Wang
This map shows the geographic impact of Mingjie Wang'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 Mingjie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjie Wang more than expected).
Fields of papers citing papers by Mingjie Wang
This network shows the impact of papers produced by Mingjie Wang. 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 Mingjie Wang. The network helps show where Mingjie Wang may publish in the future.
Co-authorship network of co-authors of Mingjie Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Mingjie Wang. A scholar is included among the top collaborators of Mingjie Wang 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 Mingjie Wang. Mingjie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 38 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | 28 |
About Mingjie Wang
Mingjie Wang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 28 papers that have together received 332 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (104 citations), Computer Vision and Pattern Recognition (209 citations) and Computer Graphics and Computer-Aided Design (13 citations). Mingjie Wang has collaborated with scholars based in China, Canada and Austria. Frequent co-authors include Minglun Gong, Xian-Feng Han, Hao Cai, Jesse S. Jin, Liping Xiao, Wei Jiang, Lei Gao, Xin Huang, Wei Deng and Yiping Fang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Pattern Recognition and International Journal of Biological Macromolecules.
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.