Shangshang Yang
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Computer Science Applications top 10%
- Co-authors
- Xingyi ZhangYe TianYaochu JinLei ZhangKay Chen TanCheng HeHaiping MaJinliang Ding
- Topics
- Metaheuristic Optimization Algorithms Research (13 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Evolutionary Algorithms and Applications (10 papers)
- Journals
- ACM Computing SurveysIEEE Transactions on Fuzzy SystemsIEEE Transactions on Evolutionary Computation
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Shangshang Yang
32 papers receiving 394 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 269
- Computational Theory and Mathematics 149
- Computer Vision and Pattern Recognition 38
- Information Systems 36
- Computer Science Applications 30
Countries citing papers authored by Shangshang Yang
This map shows the geographic impact of Shangshang Yang'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 Shangshang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shangshang Yang more than expected).
Fields of papers citing papers by Shangshang Yang
This network shows the impact of papers produced by Shangshang Yang. 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 Shangshang Yang. The network helps show where Shangshang Yang may publish in the future.
Co-authorship network of co-authors of Shangshang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Shangshang Yang. A scholar is included among the top collaborators of Shangshang Yang 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 Shangshang Yang. Shangshang Yang 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 18 | |
| 17 | 8 | |
| 18 | 53 | |
| 19 | 52 | |
| 20 | 53 |
About Shangshang Yang
Shangshang Yang is a scholar working on Artificial Intelligence, Computer Science Applications and Health Informatics, having authored 37 papers that have together received 404 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Evolutionary Algorithms and Applications (10 papers). The work is most often cited by research in Computational Theory and Mathematics (149 citations), Artificial Intelligence (269 citations) and Computer Science Applications (30 citations). Shangshang Yang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Xingyi Zhang, Ye Tian, Yaochu Jin, Lei Zhang, Kay Chen Tan, Cheng He, Haiping Ma, Jinliang Ding, Yuanchao Liu and Limiao Zhang. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Evolutionary Computation.
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.