Min Chang
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Social Psychology
- Artificial Intelligence
- Co-authors
- Charles J. BrainerdJingxin WangKevin B. PatersonBrian OdegaardHakwan LauSing‐Hang CheungSainan ZhaoVictoria A. McGowan
- Topics
- Memory Processes and Influences (20 papers)Reading and Literacy Development (13 papers)Deception detection and forensic psychology (8 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- Psychological ReviewPhilosophical Transactions of the Royal Society B Biological SciencesJournal of Experimental Psychology General
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Min Chang
43 papers receiving 371 citations
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 237
- Developmental and Educational Psychology 130
- Experimental and Cognitive Psychology 89
- Social Psychology 66
- Artificial Intelligence 63
Countries citing papers authored by Min Chang
This map shows the geographic impact of Min Chang'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 Min Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Chang more than expected).
Fields of papers citing papers by Min Chang
This network shows the impact of papers produced by Min Chang. 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 Min Chang. The network helps show where Min Chang may publish in the future.
Co-authorship network of co-authors of Min Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Min Chang. A scholar is included among the top collaborators of Min Chang 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 Min Chang. Min Chang 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 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 19 | |
| 19 | 39 | |
| 20 | 49 |
About Min Chang
Min Chang is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and General Decision Sciences, having authored 48 papers that have together received 384 indexed citations. Recurring topics across this work include Memory Processes and Influences (20 papers), Reading and Literacy Development (13 papers) and Deception detection and forensic psychology (8 papers). The work is most often cited by research in Cognitive Neuroscience (237 citations), Developmental and Educational Psychology (130 citations) and Experimental and Cognitive Psychology (89 citations). Min Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Charles J. Brainerd, Jingxin Wang, Kevin B. Paterson, Brian Odegaard, Hakwan Lau, Sing‐Hang Cheung, Sainan Zhao, Victoria A. McGowan, Kuan‐Chia Lin and Michael P. Toglia. Their work appears in journals such as Psychological Review, Philosophical Transactions of the Royal Society B Biological Sciences and Journal of Experimental Psychology General.
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.