Ling-Po Shiu
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 5%
- Social Psychology
- Developmental and Educational Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Harold PashlerSylvan KornblumQishan ChenTin-Cheung ChanRumjahn HoosainChor-yiu SinYingyi LiuDan Lin
- Topics
- Neural and Behavioral Psychology Studies (5 papers)Visual perception and processing mechanisms (4 papers)Face Recognition and Perception (2 papers)
- Journals
- Journal of Educational PsychologyNeuropsychologiaJournal of Experimental Psychology Human Perception & Performance
- Partner nations
- Hong KongUnited States
In The Last Decade
Ling-Po Shiu
13 papers receiving 750 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 719
- Experimental and Cognitive Psychology 173
- Social Psychology 74
- Developmental and Educational Psychology 51
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Ling-Po Shiu
This map shows the geographic impact of Ling-Po Shiu'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 Ling-Po Shiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling-Po Shiu more than expected).
Fields of papers citing papers by Ling-Po Shiu
This network shows the impact of papers produced by Ling-Po Shiu. 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 Ling-Po Shiu. The network helps show where Ling-Po Shiu may publish in the future.
Co-authorship network of co-authors of Ling-Po Shiu
This figure shows the co-authorship network connecting the top 25 collaborators of Ling-Po Shiu. A scholar is included among the top collaborators of Ling-Po Shiu 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 Ling-Po Shiu. Ling-Po Shiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 6 | |
| 4 | Learning to Teach: Tracing and Understanding Changes in Pre-Service Teachers' Pedagogical Knowledge. | 1 |
| 5 | 14 | |
| 6 | 75 | |
| 7 | 25 | |
| 8 | 15 | |
| 9 | 71 | |
| 10 | 21 | |
| 11 | 201 | |
| 12 | 325 | |
| 13 | 6 |
About Ling-Po Shiu
Ling-Po Shiu is a scholar working on General Decision Sciences, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 13 papers that have together received 778 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Visual perception and processing mechanisms (4 papers) and Face Recognition and Perception (2 papers). The work is most often cited by research in Cognitive Neuroscience (719 citations), Experimental and Cognitive Psychology (173 citations) and General Decision Sciences (18 citations). Ling-Po Shiu has collaborated with scholars based in Hong Kong and United States. Frequent co-authors include Harold Pashler, Sylvan Kornblum, Qishan Chen, Tin-Cheung Chan, Rumjahn Hoosain, Chor-yiu Sin, Yingyi Liu, Dan Lin, Wan‐chi Wong and Yujing Ni. Their work appears in journals such as Journal of Educational Psychology, Neuropsychologia and Journal of Experimental Psychology Human Perception & Performance.
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.