Yueheng Lan

2.5k total citations · 1 hit paper
103 papers, 1.6k citations indexed

About

Yueheng Lan is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Yueheng Lan has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistical and Nonlinear Physics, 28 papers in Atomic and Molecular Physics, and Optics and 21 papers in Computer Networks and Communications. Recurrent topics in Yueheng Lan's work include Nonlinear Dynamics and Pattern Formation (21 papers), Mechanical and Optical Resonators (20 papers) and Gene Regulatory Network Analysis (13 papers). Yueheng Lan is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (21 papers), Mechanical and Optical Resonators (20 papers) and Gene Regulatory Network Analysis (13 papers). Yueheng Lan collaborates with scholars based in China, United States and Sweden. Yueheng Lan's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Yueheng Lan

91 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models

2013 438 citations Yueheng Lan, Erik Aurell et al. Physical Review E profile →

Peers

Yueheng Lan

MB

SNP

AMPO

EEE

AI

Debashish Chowdhury India

Simona Cocco France

Benjamin B. Machta United States

Mark Paul United States

Yves Couder France

Rémi Monasson France

Anirvan M. Sengupta India

Stefan Weigert United Kingdom

Lendert Gelens Belgium

Martin Bier United States

Debashish Chowdhury India

Yueheng Lan

614 ×1.1

MB

456 ×0.9

SNP

303 ×0.7

AMPO

140 ×0.7

EEE

123 ×0.7

AI

Citations per year, relative to Yueheng Lan Yueheng Lan (= 1×) peers Debashish Chowdhury

Countries citing papers authored by Yueheng Lan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lan, Yueheng, et al.. (2026). Improved Two-Stage Theta* Algorithm for Path Planning with Uncertain Obstacles in Unstructured Rescuing Environments. Processes. 14(1). 167–167.

2.

Lei, Xiaokang, et al.. (2025). Symmetry enhanced prediction of spatio-temporal chaotic system with reservoir computing. Chaos Solitons & Fractals. 202. 117634–117634. 1 indexed citations

3.

Yin, Haicheng, et al.. (2025). Regulation of dentate gyrus pattern separation by hilus ectopic granule cells. Cognitive Neurodynamics. 19(1). 10–10. 1 indexed citations

4.

Lan, Yueheng, et al.. (2024). Chaos perturbation in terms of cycles. Results in Physics. 58. 107514–107514.

5.

Gao, Jian, et al.. (2024). Bridge synergy and simplicial interaction in complex contagions. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(3). 1 indexed citations

6.

Gui, Lili, Wei Yi, Zhongshan Zhang, et al.. (2024). Gold saturable metasurface for building a wavelength-tunable optical spiking neuron. Optics Express. 32(16). 28633–28633. 1 indexed citations

7.

Cheng, Liming, et al.. (2024). Enhanced ultrafine multimode fiber imaging based on mode modulation through singular value decomposition. Photonics Research. 12(10). 2214–2214. 1 indexed citations

8.

Gao, Jian, et al.. (2023). Investigation on the influence of heterogeneous synergy in contagion processes on complex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 3 indexed citations

9.

Wang, Liang, Huawei Fan, Yafeng Wang, et al.. (2023). Inferring synchronizability of networked heterogeneous oscillators with machine learning. Physical review. E. 107(2). 24314–24314. 4 indexed citations

10.

Gao, Jian, et al.. (2022). Optimizing synchrony with a minimal coupling strength of coupled phase oscillators on complex networks based on desynchronous clustering. Physical review. E. 105(4). 44302–44302. 5 indexed citations

11.

Lan, Yueheng, et al.. (2021). Chaotic renormalization flow in the Potts model induced by long-range competition. Physical review. E. 103(6). 62117–62117. 10 indexed citations

12.

Lan, Yueheng, et al.. (2020). Koopman analysis in oscillator synchronization. Physical review. E. 102(6). 62216–62216.

13.

Li, Bin, Weisi Guo, Yansha Deng, et al.. (2019). CSI-Independent Non-Linear Signal Detection in Molecular Communications. IEEE Transactions on Signal Processing. 68. 97–112. 19 indexed citations

14.

Shih, Changming, et al.. (2016). A Stochastic Model of the Germinal Center Integrating Local Antigen Competition, Individualistic T–B Interactions, and B Cell Receptor Signaling. The Journal of Immunology. 197(4). 1169–1182. 19 indexed citations

15.

Huang, Yandong, et al.. (2016). Channel based generating function approach to the stochastic Hodgkin-Huxley neuronal system. Scientific Reports. 6(1). 22662–22662. 4 indexed citations

16.

Lan, Yueheng & Erik Aurell. (2015). The stochastic thermodynamics of a rotating Brownian particle in a gradient flow. Scientific Reports. 5(1). 12266–12266. 6 indexed citations

17.

Zhuravlev, Pavel I., et al.. (2012). Theory of active transport in filopodia and stereocilia. Proceedings of the National Academy of Sciences. 109(27). 10849–10854. 26 indexed citations

18.

Lan, Yueheng & Garegin A. Papoian. (2008). The Stochastic Dynamics of Filopodial Growth. Carolina Digital Repository (University of North Carolina at Chapel Hill). 1 indexed citations

19.

Lan, Yueheng & Garegin A. Papoian. (2008). The Stochastic Dynamics of Filopodial Growth. Biophysical Journal. 94(10). 3839–3852. 75 indexed citations

20.

Lan, Yueheng & Predrag Cvitanović. (2004). Variational method for finding periodic orbits in a general flow. Physical Review E. 69(1). 16217–16217. 74 indexed citations

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.

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