Yueheng Lan
- Molecular Biology
- Statistical and Nonlinear Physics top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Erik AurellMagnus EkebergMartin WeigtCecilia LövkvistGaregin A. PapoianWenjie NiePredrag CvitanovićIgor Mezić
- Topics
- Nonlinear Dynamics and Pattern Formation (21 papers)Mechanical and Optical Resonators (20 papers)Gene Regulatory Network Analysis (13 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yueheng Lan
91 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 541
- Statistical and Nonlinear Physics 507
- Atomic and Molecular Physics, and Optics 430
- Electrical and Electronic Engineering 194
- Artificial Intelligence 170
Countries citing papers authored by Yueheng Lan
This map shows the geographic impact of Yueheng Lan'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 Yueheng Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueheng Lan more than expected).
Fields of papers citing papers by Yueheng Lan
This network shows the impact of papers produced by Yueheng Lan. 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 Yueheng Lan. The network helps show where Yueheng Lan may publish in the future.
Co-authorship network of co-authors of Yueheng Lan
This figure shows the co-authorship network connecting the top 25 collaborators of Yueheng Lan. A scholar is included among the top collaborators of Yueheng Lan 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 Yueheng Lan. Yueheng Lan 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 19 | |
| 14 | 19 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 75 | |
| 20 | 74 |
About Yueheng Lan
Yueheng Lan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 103 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (21 papers), Mechanical and Optical Resonators (20 papers) and Gene Regulatory Network Analysis (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (507 citations), Atomic and Molecular Physics, and Optics (430 citations) and Molecular Biology (541 citations). Yueheng Lan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Erik Aurell, Magnus Ekeberg, Martin Weigt, Cecilia Lövkvist, Garegin A. Papoian, Wenjie Nie, Predrag Cvitanović, Igor Mezić, Aixi Chen and Shi‐Yao Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.