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.
Data Sharing by Scientists: Practices and Perceptions
This map shows the geographic impact of Lei Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Wu more than expected).
This network shows the impact of papers produced by Lei Wu. 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 Wu. The network helps show where Lei Wu may publish in the future.
Co-authorship network of co-authors of Lei Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Wu.
A scholar is included among the top collaborators of Lei Wu 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 Wu. Lei Wu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pei, Yanxi, Yong Zhang, Yingjun Zhao, et al.. (2020). Hyperconnectivity and High Temporal Variability of the Primary Somatosensory Cortex in Low-Back-Related Leg Pain: An fMRI Study of Static and Dynamic Functional Connectivity. SHILAP Revista de lepidopterología.1 indexed citations
10.
Wang, Wenyu, et al.. (2020). Xenon1T anomaly: Inelastic Cosmic Ray Boosted Dark Matter. arXiv (Cornell University).7 indexed citations
Ma, Chi, Ke Xu, Lin Xu, et al.. (2018). Schisandrin B ameliorated chondrocytes inflammation and osteoarthritis via suppression of NF-κB and MAPK signal pathways. SHILAP Revista de lepidopterología.2 indexed citations
13.
Wu, Lei, et al.. (2018). Probing stop with graph neural network at the LHC. arXiv (Cornell University).3 indexed citations
14.
Wu, Lei, et al.. (2017). The mixed bino-higgsino dark matter in natural SUSY confronted with XENON1T/PandaX and LHC data. arXiv (Cornell University).1 indexed citations
15.
Ren, Jie, Lei Wu, Jin Min Yang, & Jun Zhao. (2017). Machine Learning Scan and Application in SUSY. arXiv (Cornell University).1 indexed citations
16.
Kobakhidze, Archil, Fei Wang, Lei Wu, Jin Min Yang, & Mengchao Zhang. (2015). LHC diphoton excess explained as a heavy scalar in top-seesaw model. arXiv (Cornell University).9 indexed citations
17.
Kobakhidze, Archil, Fei Wang, Lei Wu, Jin Min Yang, & Mengchao Zhang. (2015). 750 GeV diphoton resonance explained as a heavy scalar in top/bottom seesaw model. arXiv (Cornell University).6 indexed citations
18.
Hu, Song, Ning Liu, Jie Ren, & Lei Wu. (2014). Probing Higgs couplings to diphoton and Z-photon from Higgs$+$photon production at a Higgs factory. arXiv (Cornell University).1 indexed citations
Huang, Jian, et al.. (2010). [Roles of proto-oncogene c-erbB2 during the initiation growth of rat primordial follicles].. PubMed. 26(2). 165–70.1 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.