Lei Dai

1.2k total citations · 1 hit paper
17 papers, 774 citations indexed

About

Lei Dai is a scholar working on Global and Planetary Change, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Lei Dai has authored 17 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Environmental Engineering and 2 papers in Civil and Structural Engineering. Recurrent topics in Lei Dai's work include Ecosystem dynamics and resilience (6 papers), Sustainability and Ecological Systems Analysis (5 papers) and Ionosphere and magnetosphere dynamics (2 papers). Lei Dai is often cited by papers focused on Ecosystem dynamics and resilience (6 papers), Sustainability and Ecological Systems Analysis (5 papers) and Ionosphere and magnetosphere dynamics (2 papers). Lei Dai collaborates with scholars based in China, United States and Netherlands. Lei Dai's co-authors include Jeff Gore, Kirill S. Korolev, Daan Vorselen, Martina Dal Bello, Lisandro Benedetti‐Cecchi, Luca Rindi, Álvaro Sánchez, Andrew Chen, Yongli Li and Haikun Jiang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lei Dai

14 papers receiving 761 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.

Generic Indicators for Loss of Resilience Before a Tipping Point Leading to Population Collapse

2012 452 citations Lei Dai, Daan Vorselen et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lei Dai China	7	535	190	151	133	120	17	774
Laura E. Smith United States	3	535 1.0×	167 0.9×	322 2.1×	41 0.3×	42 0.3×	3	809
Luis J. Gilarranz Switzerland	14	227 0.4×	60 0.3×	282 1.9×	117 0.9×	110 0.9×	20	961
Stephen Tennenbaum United States	6	298 0.6×	316 1.7×	203 1.3×	22 0.2×	60 0.5×	10	661
Thomas P. Burns United States	14	159 0.3×	214 1.1×	181 1.2×	105 0.8×	54 0.5×	23	643
Yong-Ping Wu China	12	316 0.6×	42 0.2×	92 0.6×	108 0.8×	32 0.3×	37	596
Dixon D. Jones Canada	6	386 0.7×	81 0.4×	228 1.5×	169 1.3×	78 0.7×	9	853
Derin B. Wysham United Kingdom	7	222 0.4×	89 0.5×	69 0.5×	28 0.2×	34 0.3×	7	481
Virginia Domínguez‐García Spain	8	130 0.2×	35 0.2×	141 0.9×	62 0.5×	82 0.7×	13	546
A. El-Aich Morocco	4	644 1.2×	122 0.6×	245 1.6×	45 0.3×	54 0.5×	5	901
Yuval R. Zelnik Israel	14	578 1.1×	63 0.3×	310 2.1×	54 0.4×	57 0.5×	24	969

Countries citing papers authored by Lei Dai

Since Specialization

Citations

This map shows the geographic impact of Lei Dai'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 Lei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Dai more than expected).

Fields of papers citing papers by Lei Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lei Dai. 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 Lei Dai. The network helps show where Lei Dai may publish in the future.

Co-authorship network of co-authors of Lei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Dai. A scholar is included among the top collaborators of Lei Dai 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 Lei Dai. Lei Dai 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:

17 of 17 papers shown

Dai, Lei, Qun Liu, Xialing Wu, et al.. (2025). Water-resistant and antibacterial food packaging films prepared from bamboo shoot shell cellulose nanofibers and cinnamaldehyde/chitosan emulsion. Food Hydrocolloids. 168. 111512–111512. 8 indexed citations

Liu, Chao, et al.. (2025). The biomechanical study of different fixation techniques for combination fractures of atlas and axis: a finite element analysis. European journal of medical research. 30(1). 184–184.

Dai, Lei, et al.. (2025). CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP. 30438–30452.

Liang, Yue, et al.. (2024). Investigation on the cyclic shear properties of steel-crushed red mudstone particles interface. Soil Dynamics and Earthquake Engineering. 183. 108796–108796. 1 indexed citations

Han, Bingye, et al.. (2023). Modeling the dynamic performance of transportation infrastructure using panel data model in state-space specifications. Journal of Traffic and Transportation Engineering (English Edition). 10(3). 441–453. 1 indexed citations

Branduardi‐Raymont, G., Chi Wang, C. P. Escoubet, et al.. (2021). Imaging solar-terrestrial interactions on the global scale: The SMILE mission. 3 indexed citations

Branduardi‐Raymont, G., Chi Wang, C. P. Escoubet, et al.. (2020). The SMILE mission: A novel way to explore solar-terrestrial interactions. 1 indexed citations

Branduardi‐Raymont, G., Chi Wang, Lei Dai, et al.. (2017). SMILE: A new approach to exploring solar-terrestrial relationships. EGUGA. 8153.

Rindi, Luca, Martina Dal Bello, Lei Dai, Jeff Gore, & Lisandro Benedetti‐Cecchi. (2017). Direct observation of increasing recovery length before collapse of a marine benthic ecosystem. Nature Ecology & Evolution. 1(6). 153–153. 65 indexed citations

10.

Dai, Lei, Kirill S. Korolev, & Jeff Gore. (2015). Relation between stability and resilience determines the performance of early warning signals under different environmental drivers. Proceedings of the National Academy of Sciences. 112(32). 10056–10061. 55 indexed citations

11.

Chen, Andrew, Álvaro Sánchez, Lei Dai, & Jeff Gore. (2014). Dynamics of a producer-freeloader ecosystem on the brink of collapse. RePEc: Research Papers in Economics. 1 indexed citations

12.

Chen, Andrew, Álvaro Sánchez, Lei Dai, & Jeff Gore. (2014). Dynamics of a producer-freeloader ecosystem on the brink of collapse. Nature Communications. 5(1). 3713–3713. 38 indexed citations

13.

Dai, Lei, Kirill S. Korolev, & Jeff Gore. (2013). Slower recovery in space before collapse of connected populations. Nature. 496(7445). 355–358. 135 indexed citations

14.

Zhang, Jian & Lei Dai. (2013). Symmetric Distortion Correction in Asphere Manufacturing. Key engineering materials. 552. 158–161. 1 indexed citations

15.

Dai, Lei, Daan Vorselen, Kirill S. Korolev, & Jeff Gore. (2012). Generic Indicators for Loss of Resilience Before a Tipping Point Leading to Population Collapse. Science. 336(6085). 1175–1177. 452 indexed citations breakdown →

16.

Jiang, Haikun, et al.. (2007). Statistical features of aftershock distribution size for moderate and large earthquakes in Chinese mainland. Acta Seismologica Sinica. 20(2). 158–169. 7 indexed citations

17.

Jiang, Haikun, et al.. (2006). Spatial distribution features of sequence types of moderate and strong earthquake in Chinese mainland. Acta Seismologica Sinica. 19(4). 417–427. 6 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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