Jin Yan
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Management Science and Operations Research top 10%
- Discrete Mathematics and Combinatorics top 10%
- Co-authors
- Jin‐Kao HaoKun HeYi ZhouChu-Min LiMingyu XiaoJingwei XuZhenyu GuoYangming Zhou
- Topics
- Limits and Structures in Graph Theory (18 papers)Advanced Graph Theory Research (17 papers)graph theory and CDMA systems (15 papers)
- Cited by
- Discrete Mathematics and CombinatoricsIndustrial and Manufacturing EngineeringComputational Theory and Mathematics
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsInformation Sciences
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Jin Yan
41 papers receiving 336 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 118
- Artificial Intelligence 93
- Industrial and Manufacturing Engineering 86
- Management Science and Operations Research 66
- Discrete Mathematics and Combinatorics 49
Countries citing papers authored by Jin Yan
This map shows the geographic impact of Jin Yan'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 Jin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yan more than expected).
Fields of papers citing papers by Jin Yan
This network shows the impact of papers produced by Jin Yan. 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 Jin Yan. The network helps show where Jin Yan may publish in the future.
Co-authorship network of co-authors of Jin Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Yan. A scholar is included among the top collaborators of Jin Yan 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 Jin Yan. Jin Yan 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 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 37 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | Contents and influencing factors of heavy metals in commercial organic fertilizers in Shanghai. | 2 |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | On 2-Factors with Quadrilaterals Containing Specified Vertices in a Bipartite Graph. | 2 |
| 20 | 8 |
About Jin Yan
Jin Yan is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 48 papers that have together received 342 indexed citations. Recurring topics across this work include Limits and Structures in Graph Theory (18 papers), Advanced Graph Theory Research (17 papers) and graph theory and CDMA systems (15 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (49 citations), Industrial and Manufacturing Engineering (86 citations) and Computational Theory and Mathematics (118 citations). Jin Yan has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Jin‐Kao Hao, Kun He, Yi Zhou, Chu-Min Li, Mingyu Xiao, Jingwei Xu, Zhenyu Guo, Yangming Zhou, Mingyang Lv and Guizhen Liu. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Information Sciences.
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.