Albert Tu

29 papers receiving 271 citations

Peers

Albert Tu
Comparison fields: 5 of 59
  • Public Health, Environmental and Occupational Health 94
  • Human-Computer Interaction 17
  • Neurology 28
  • Cellular and Molecular Neuroscience 35
  • Psychiatry and Mental health 25
Replace Saqib Kamran Bakhshi with:
Saqib Kamran Bakhshi Pakistan
Sarah Eichler Germany
Giselle Coelho Brazil
Muhammed Nur Öğün Türkiye
Mauricio Campos Chile
Claudia Covarrubias United States
Ibrahim Omerhodžić Bosnia and Herzegovina
Timur Urakov United States
Anirudha S. Chandrabhatla United States
Kasra Sarhadi United States
Albert Tu relative to Saqib Kamran Bakhshi Pakistan Saqib Kamran Bakhshi's profile →
Citations per field
00.5×4.9×
Saqib Kamran Bakhshi · 1×
Citations per year

Countries citing papers authored by Albert Tu

Since Specialization
Citations

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

Fields of papers citing papers by Albert Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201349
2 202141
3 201434
4 202016
5 201614
6 202312
7 201910
8 201910
9 202010
10 202110
11 20169
12 20199
13 20147
14 20217
15 20207
16 20215
17 20204
18 20194
19 20104
20 20232

About Albert Tu

Albert Tu is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Neurology, Genetics and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 279 indexed citations. Recurring topics across this work include Spinal Dysraphism and Malformations (6 papers), Glioma Diagnosis and Treatment (4 papers), Human Pose and Action Recognition (3 papers), Head and Neck Surgical Oncology (3 papers), Stroke Rehabilitation and Recovery (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Neuroblastoma Research and Treatments (2 papers) and Craniofacial Disorders and Treatments (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (94 citations), Human-Computer Interaction (17 citations), Neurology (28 citations), Cellular and Molecular Neuroscience (35 citations) and Psychiatry and Mental health (25 citations). Albert Tu has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Paul Steinbok, Gianpiero Tamburrini, Kevin Cheung, Natalie Baddour, Edward D. Lemaire, D. Douglas Cochrane, Aria Fallah, Alexander G. Weil, George M. Ibrahim and Lior M. Elkaim. Their work appears in journals such as Child s Nervous System, Pediatric Neurosurgery, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Journal of Neurosurgery Pediatrics and Sensors.

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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