Yu‐Ling Chang

1.9k citations
81 papers · 1.4k · h-index 18

Impact in

Papers in

Yu‐Ling Chang

75 papers receiving 1.4k citations

Peers

Yu‐Ling Chang
Comparison fields: 5 of 106
  • Psychiatry and Mental health 528
  • Cognitive Neuroscience 364
  • Neurology 80
  • Neurology 86
  • Signal Processing 52
Replace Martin Wegrzyn with:
Martin Wegrzyn Germany
Zhiying Long China
Walter G. Besio United States
Alberto Leal Portugal
Armando Malanda Spain
Raymundo Cassani Canada
Pierpaolo Croce Italy
Jan Rémi Germany
Jane Maryam Rondina United Kingdom
David Perpetuini Italy
Yu‐Ling Chang relative to Martin Wegrzyn Germany Martin Wegrzyn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yu‐Ling Chang

Since Specialization
Citations

This map shows the geographic impact of Yu‐Ling 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 Yu‐Ling Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Ling Chang more than expected).

Fields of papers citing papers by Yu‐Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Ling 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 Yu‐Ling Chang. The network helps show where Yu‐Ling Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu‐Ling Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐Ling Chang Line = papers co-authored together Yu‐Ling Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007182
2 2009115
3 200986
4 201181
5 200369
6 200969
7 200660
8 201946
9 201045
10 200937
11 201333
12 202332
13 201030
14 201129
15 201725
16 201024
17 201123
18 201520
19 200718
20 201118

About Yu‐Ling Chang

Yu‐Ling Chang is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Social Psychology, Neurology and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (37 papers), Social Robot Interaction and HRI (6 papers), Neurobiology of Language and Bilingualism (5 papers), Memory Processes and Influences (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Speech Recognition and Synthesis (3 papers), Memory and Neural Mechanisms (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Psychiatry and Mental health (528 citations), Cognitive Neuroscience (364 citations), Neurology (80 citations), Neurology (86 citations) and Signal Processing (52 citations). Yu‐Ling Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Christine Fennema‐Notestine, Anders Martin Dale, Linda K. McEvoy, Bruce Crosson, Mark William Bondi, Donald J. Hagler, Christina E. Wierenga, Keith McGregor, Michelle Benjamin and Keith D. White. Their work appears in journals such as Journal of Alzheimer s Disease, Neuropsychologia, Scientific Reports, PLoS ONE and International Journal of Social Robotics.

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.

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