Hongjing Lu
About
In The Last Decade
Hongjing Lu
127 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cognitive Neuroscience 877
- Artificial Intelligence 667
- Developmental and Educational Psychology 468
- Social Psychology 422
- Computer Vision and Pattern Recognition 302
Countries citing papers authored by Hongjing Lu
This map shows the geographic impact of Hongjing Lu'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 Hongjing Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjing Lu more than expected).
Fields of papers citing papers by Hongjing Lu
This network shows the impact of papers produced by Hongjing Lu. 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 Hongjing Lu. The network helps show where Hongjing Lu may publish in the future.
Co-authorship network of co-authors of Hongjing Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Hongjing Lu. A scholar is included among the top collaborators of Hongjing Lu 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 Hongjing Lu. Hongjing Lu 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 | 85 | |
| 5 | Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. | 2 |
| 6 | Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. | 6 |
| 7 | Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. | 7 |
| 8 | Behavioral Oscillations in Verification of Relational Role Bindings. | 1 |
| 9 | Deep Convolutional Networks do not Perceive Illusory Contours. | 11 |
| 10 | Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. | 6 |
| 11 | Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. | 15 |
| 12 | Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning | 1 |
| 13 | Generic Priors Yield Competition Between Independently-Occurring Causes | 2 |
| 14 | The Noisy-Logical Distribution and its Application to Causal Inference | 2 |
| 15 | A unified model of short-range and long-range motion perception | 7 |
| 16 | Modeling the spacing effect in sequential category learning | 0 |
| 17 | The Noisy-Logical Distribution and its Application to Causal Inference | 16 |
| 18 | Bayesian Models of Judgments of Causal Strength: A Comparison | 7 |
| 19 | Modeling Causal Learning Using Bayesian Generic Priors on Generative and Preventive Powers | 1 |
| 20 | Ideal Observers for Detecting Motion: Correspondence Noise | 12 |
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.