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.
This map shows the geographic impact of Li Zhaoping'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 Li Zhaoping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Zhaoping more than expected).
This network shows the impact of papers produced by Li Zhaoping. 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 Li Zhaoping. The network helps show where Li Zhaoping may publish in the future.
Co-authorship network of co-authors of Li Zhaoping
This figure shows the co-authorship network connecting the top 25 collaborators of Li Zhaoping.
A scholar is included among the top collaborators of Li Zhaoping 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 Li Zhaoping. Li Zhaoping is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhaoping, Li. (2015). Dichoptic color gratings reveal a perceptual bias for binocular summation over binocular difference, which is stronger in central than peripheral vision. MPG.PuRe (Max Planck Society).1 indexed citations
Zhaoping, Li. (2013). Dichoptic orientation stimuli show that ocular summation bests ocular opponency in central but not peripheral vision. PsyCh Journal. 48.2 indexed citations
Zhaoping, Li. (2010). Ocularity as a basic visual feature dimension for bottom-up attentional attraction. MPG.PuRe (Max Planck Society).2 indexed citations
10.
Zhaoping, Li, et al.. (2005). A salience ripple in a homogeneous field: Evidence supporting the V1 salience model. UCL Discovery (University College London).1 indexed citations
11.
Zhaoping, Li & Keith A. May. (2004). Irrelevance of feature maps for bottom up visual saliency in segmentation and search tasks. UCL Discovery (University College London).3 indexed citations
Scarpetta, Silvia, Li Zhaoping, & John Hertz. (2000). Spike-Timing-Dependent Learning for Oscillatory Networks. UCL Discovery (University College London). 13. 152–158.5 indexed citations
14.
Zhaoping, Li. (1999). Can VI Mechanisms Account for Figure-Ground and Medial Axis Effects?. MPG.PuRe (Max Planck Society). 12. 136–142.8 indexed citations
15.
Zhaoping, Li. (1998). Visual segmentation without classification: a proposed function for primary visual cortex. UCL Discovery (University College London).2 indexed citations
16.
Zhaoping, Li. (1998). A V1 Model of Pop Out and Asymmetty in Visual Search. MPG.PuRe (Max Planck Society). 11. 796–802.4 indexed citations
17.
Atick, Joseph J., Li Zhaoping, & Amanda Redlich. (1990). Color coding and its interaction with spatiotemporal processing in the retina. UCL Discovery (University College London).11 indexed citations
18.
Herz, Andreas V. M., Li Zhaoping, & J. Leo van Hemmen. (1990). Statistical mechanics of temporal association in neural networks with delayed interactions. Neural Information Processing Systems. 176–182.2 indexed citations
19.
Herz, Andreas V. M., Li Zhaoping, & J. Leo van Hemmen. (1990). Statistical Mechanics of Temporal Association in Neural Networks. Neural Information Processing Systems. 3. 176–182.1 indexed citations
20.
Zhaoping, Li & J. J. Hopfield. (1988). Modeling the Olfactory Bulb - Coupled Nonlinear Oscillators. CaltechAUTHORS (California Institute of Technology). 1. 402–409.2 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.