Haiyan Chen
Impact in
- Geometry and Topology top 1%
- Graph theory and applications
Papers in
-
- Graph theory and applications 30
-
- Advanced Graph Theory Research 7
- Topological and Geometric Data Analysis 6
- Graph Labeling and Dimension Problems 5
- Computational Drug Discovery Methods 5
- Co-authors
- Fuji Zhang (7 shared papers)Qingying Deng (3 shared papers)Bojan Mohar (2 shared papers)А. М. Райгородский (1 shared paper)Yanan Zhang (1 shared paper)Lu Liu (1 shared paper)Guangzhou Chen (1 shared paper)Yu Chen (1 shared paper)
In The Last Decade
Haiyan Chen
35 papers receiving 530 citations
Peers
Comparison fields: 5 of 54
- Geometry and Topology 471
- Discrete Mathematics and Combinatorics 63
- Computational Theory and Mathematics 271
- Statistical and Nonlinear Physics 111
- Organic Chemistry 214
Countries citing papers authored by Haiyan Chen
This map shows the geographic impact of Haiyan Chen'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 Haiyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Chen more than expected).
Fields of papers citing papers by Haiyan Chen
This network shows the impact of papers produced by Haiyan Chen. 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 Haiyan Chen. The network helps show where Haiyan Chen may publish in the future.
Co-authors
The 10 scholars most cited alongside Haiyan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 241 | |
| 2 | 2007 | 41 | |
| 3 | 2010 | 40 | |
| 4 | 2013 | 26 | |
| 5 | 2003 | 24 | |
| 6 | 2013 | 18 | |
| 7 | 2008 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2007 | 4 |
About Haiyan Chen
Haiyan Chen is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Organic Chemistry, Discrete Mathematics and Combinatorics and Statistical and Nonlinear Physics, having authored 39 papers that have together received 544 indexed citations. Recurring topics across this work include Graph theory and applications (30 papers), Synthesis and Properties of Aromatic Compounds (15 papers), Advanced Graph Theory Research (7 papers), Complex Network Analysis Techniques (6 papers), Topological and Geometric Data Analysis (6 papers), Graph Labeling and Dimension Problems (5 papers), Computational Drug Discovery Methods (5 papers) and Graphene research and applications (5 papers). The work is most often cited by research in Geometry and Topology (471 citations), Discrete Mathematics and Combinatorics (63 citations), Computational Theory and Mathematics (271 citations), Statistical and Nonlinear Physics (111 citations) and Organic Chemistry (214 citations). Haiyan Chen has collaborated with scholars based in China, Russia and Canada. Frequent co-authors include Fuji Zhang, Qingying Deng, Bojan Mohar, А. М. Райгородский, Yanan Zhang, Lu Liu, Guangzhou Chen, Yu Chen, Kejun Chen and Wen Li. Their work appears in journals such as Discrete Applied Mathematics, Discrete Mathematics, Linear Algebra and its Applications, Graphs and Combinatorics and Applied Mathematics and 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.