Yingqian Wang
- Computational Theory and Mathematics top 1%
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design top 2%
- Discrete Mathematics and Combinatorics top 5%
- Computer Networks and Communications top 10%
- Topics
- Advanced Graph Theory Research (47 papers)Graph Labeling and Dimension Problems (29 papers)Computational Geometry and Mesh Generation (24 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignDiscrete Mathematics and CombinatoricsComputational Theory and Mathematics
- Journals
- Applied Physics LettersJournal of Applied PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yingqian Wang
54 papers receiving 474 citations
Peers
Comparison fields: 5 of 35
- Computational Theory and Mathematics 368
- Electrical and Electronic Engineering 207
- Computer Graphics and Computer-Aided Design 130
- Discrete Mathematics and Combinatorics 113
- Computer Networks and Communications 68
Countries citing papers authored by Yingqian Wang
This map shows the geographic impact of Yingqian 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 Yingqian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingqian Wang more than expected).
Fields of papers citing papers by Yingqian Wang
This network shows the impact of papers produced by Yingqian 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 Yingqian Wang. The network helps show where Yingqian Wang may publish in the future.
Co-authorship network of co-authors of Yingqian Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yingqian Wang. A scholar is included among the top collaborators of Yingqian 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 Yingqian Wang. Yingqian 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 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | A note on totally coloring of plane graphs | 1 |
| 19 | 8 | |
| 20 | 2 |
About Yingqian Wang
Yingqian Wang is a scholar working on Computer Graphics and Computer-Aided Design, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 56 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (47 papers), Graph Labeling and Dimension Problems (29 papers) and Computational Geometry and Mesh Generation (24 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (130 citations), Discrete Mathematics and Combinatorics (113 citations) and Computational Theory and Mathematics (368 citations). Yingqian Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Won Jong Yoo, Yee‐Chia Yeo, Zhengke Miao, Ding‐Zhu Du, Ganesh Samudra, Qi‐Jun Zhang, An Du, Gang Zhang, Wan Sik Hwang and Peipei Liu. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine 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.