Pin Wang
- Automotive Engineering top 1%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Building and Construction top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Ching‐Yao ChanArnaud de La FortelleXuxin ChengFei YeBiao YangJiucai ZhangMengyu GuoTianyu Shi
- Topics
- Autonomous Vehicle Technology and Safety (17 papers)Traffic control and management (9 papers)Reinforcement Learning in Robotics (8 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Pin Wang
39 papers receiving 885 citations
Peers
Comparison fields: 5 of 89
- Automotive Engineering 579
- Control and Systems Engineering 434
- Artificial Intelligence 212
- Building and Construction 163
- Computer Vision and Pattern Recognition 148
Countries citing papers authored by Pin Wang
This map shows the geographic impact of Pin 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 Pin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Wang more than expected).
Fields of papers citing papers by Pin Wang
This network shows the impact of papers produced by Pin 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 Pin Wang. The network helps show where Pin Wang may publish in the future.
Co-authorship network of co-authors of Pin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Pin Wang. A scholar is included among the top collaborators of Pin 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 Pin Wang. Pin 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 | 15 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 46 | |
| 5 | 45 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 14 | |
| 10 | 58 | |
| 11 | 103 | |
| 12 | 6 | |
| 13 | 32 | |
| 14 | Research on Cultivation of Teachers' Data-based Wisdom in Big Data Era | 1 |
| 15 | Research on the Teaching Method of Physical Education and Health from the Perspective of Innovation Education | 1 |
| 16 | 3 | |
| 17 | Fluid evolution of the Yaochong porphyry Mo deposit, Xinxian County, Henan Province, China | 3 |
| 18 | Effect of Oxygen-enriched Transportation on Combustibility of Pulverized Coal | 2 |
| 19 | Sentence Similarity Computation in Information Retrieval | 2 |
| 20 | 16 |
About Pin Wang
Pin Wang is a scholar working on Automotive Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 908 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Traffic control and management (9 papers) and Reinforcement Learning in Robotics (8 papers). The work is most often cited by research in Automotive Engineering (579 citations), Control and Systems Engineering (434 citations) and Safety, Risk, Reliability and Quality (135 citations). Pin Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Ching‐Yao Chan, Arnaud de La Fortelle, Xuxin Cheng, Fei Ye, Biao Yang, Jiucai Zhang, Mengyu Guo, Tianyu Shi, Ding‐Hsiang Huang and Shen Zhang. Their work appears in journals such as IEEE Transactions on Automatic Control, Optics Express and Frontiers in Psychology.
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.