Mo Yi

41 papers receiving 1.3k citations

Mo Yi's Hit Papers

Randomized Trial of Verubecestat for Prodromal Alzheimer’s Disease 2019 · 401 citations
4010+2+5Years since publication100200300400500

Peers

Mo Yi
Comparison fields: 5 of 125
  • Biological Psychiatry 69
  • Physiology 631
  • Pharmacology 273
  • Neurology 116
  • Psychiatry and Mental health 179
Replace Yong Ji with:
Yong Ji China
Amir Abbas Tahami Monfared United States
Andri Signorell Switzerland
Haibin Dai China
Qinying Zhao United States
Steven J. Kiddle United Kingdom
Billy Dunn United States
Karina Braga Gomes Borges Brazil
Sankha Shubhra Chakrabarti India
Luan Carlos Vieira Alves Brazil
Mo Yi relative to Yong Ji China Yong Ji's profile →
Citations per field
00.5×3.5×
Yong Ji · 1×
Citations per year

Countries citing papers authored by Mo Yi

Since Specialization
Citations

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

Fields of papers citing papers by Mo Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mo Yi. 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 Mo Yi. The network helps show where Mo Yi may publish in the future.

Co-authors

The 25 scholars most cited alongside Mo Yi, 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 Mo Yi Line = papers co-authored together Mo Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Randomized Trial of Verubecestat for Mild-to-Moderate Alzheimer’s Disease
Hit paper breakdown →
2018503
2
Randomized Trial of Verubecestat for Prodromal Alzheimer’s Disease
Hit paper breakdown →
2019401
3 201149
4 201738
5 201731
6 202331
7 202127
8 202127
9 202123
10 202120
11 202119
12 202216
13 202111
14 201910
15
Hybrid System Monitoring and Diagnosing Based on Particle Filter Algorithm
20039
16 20209
17 20238
18 20218
19 20208
20 20237

About Mo Yi

Mo Yi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Physiology, Infectious Diseases and Surgery, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), Asthma and respiratory diseases (3 papers), Face and Expression Recognition (2 papers), Combustion and flame dynamics (2 papers), Advanced Combustion Engine Technologies (2 papers), Video Surveillance and Tracking Methods (2 papers), Chronic Disease Management Strategies (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biological Psychiatry (69 citations), Physiology (631 citations), Pharmacology (273 citations), Neurology (116 citations) and Psychiatry and Mental health (179 citations). Mo Yi has collaborated with scholars based in China, United States and France. Frequent co-authors include Jeffrey L. Cummings, Erin Mahoney, Yuki Mukai, Paul Aisen, Lyn Harper Mozley, Bruno Vellas, James Kost, Tiffini Voss, Pierre N. Tariot and Michael Egan. Their work appears in journals such as Pediatric Pulmonology, BMJ Open, New England Journal of Medicine, Vaccine and Alzheimer s & Dementia Translational Research & Clinical Interventions.

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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