Haiyan Chen
Impact in
- Geometry and Topology top 1%
- Graph theory and applications
Papers in
-
- Graph theory and applications 31
-
- Advanced Graph Theory Research 7
- Topological and Geometric Data Analysis 7
- Computational Drug Discovery Methods 5
- Graph Labeling and Dimension Problems 5
- Co-authors
- Fuji Zhang (7 shared papers)Qingying Deng (3 shared papers)Yanan Zhang (1 shared paper)Bojan Mohar (2 shared papers)Andrei Mikhailovich Raigorodskii (1 shared paper)Wen Li (1 shared paper)Yu Chen (1 shared paper)Guangzhou Chen (1 shared paper)
In The Last Decade
Haiyan Chen
35 papers receiving 544 citations
Peers
Comparison fields: 5 of 55
- Geometry and Topology 476
- Discrete Mathematics and Combinatorics 63
- Computational Theory and Mathematics 275
- Statistical and Nonlinear Physics 116
- 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 11 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 250 | |
| 2 | 2010 | 42 | |
| 3 | 2007 | 41 | |
| 4 | 2013 | 27 | |
| 5 | 2003 | 23 | |
| 6 | 2013 | 19 | |
| 7 | 2008 | 15 | |
| 8 | 2014 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2017 | 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, Discrete Mathematics and Combinatorics, Organic Chemistry and Statistical and Nonlinear Physics, having authored 40 papers that have together received 556 indexed citations. Recurring topics across this work include Graph theory and applications (31 papers), Synthesis and Properties of Aromatic Compounds (15 papers), Advanced Graph Theory Research (7 papers), Topological and Geometric Data Analysis (7 papers), Complex Network Analysis Techniques (6 papers), Graphene research and applications (5 papers), Computational Drug Discovery Methods (5 papers) and Graph Labeling and Dimension Problems (5 papers). The work is most often cited by research in Geometry and Topology (476 citations), Discrete Mathematics and Combinatorics (63 citations), Computational Theory and Mathematics (275 citations), Statistical and Nonlinear Physics (116 citations) and Organic Chemistry (214 citations). Haiyan Chen has collaborated with scholars based in China, Canada and Russia. Frequent co-authors include Fuji Zhang, Qingying Deng, Yanan Zhang, Bojan Mohar, Andrei Mikhailovich Raigorodskii, Wen Li, Yu Chen, Guangzhou Chen, Lu Liu and Kejun Chen. Their work appears in journals such as Discrete Applied Mathematics, Discrete Mathematics, Linear Algebra and its Applications, Applied Mathematics and Computation and Graphs and Combinatorics.
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.