Yan Tu

1.1k citations
124 papers · 813 · h-index 15

Impact in

Papers in

Yan Tu

107 papers receiving 757 citations

Peers

Yan Tu
Comparison fields: 5 of 63
  • Media Technology 131
  • Social Psychology 142
  • Endocrine and Autonomic Systems 35
  • Atomic and Molecular Physics, and Optics 153
  • Cognitive Neuroscience 94
Replace Marcel P. Lucassen with:
Marcel P. Lucassen Netherlands
Seung‐Woo Lee South Korea
Yuning Zhang China
Changjun Li China
Miyoshi Ayama Japan
Wendy Davis Australia
John Van Derlofske United States
Janos D. Schanda Hungary
Yandan Lin China
Sungchul Mun South Korea
Yan Tu relative to Marcel P. Lucassen Netherlands Marcel P. Lucassen's profile →
Citations per field
00.5×2×3×4.4×
Marcel P. Lucassen · 1×
Citations per year

Countries citing papers authored by Yan Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201784
2 201450
3 201648
4 201144
5 201630
6 200726
7 201626
8 202125
9 201721
10 200819
11 201719
12 201518
13 200216
14 201615
15 202015
16 201014
17 201113
18 202112
19 200811
20 202011

About Yan Tu

Yan Tu is a scholar working on Social Psychology, Media Technology, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging, having authored 124 papers that have together received 813 indexed citations. Recurring topics across this work include Ergonomics and Musculoskeletal Disorders (31 papers), Visual perception and processing mechanisms (25 papers), Plasma Applications and Diagnostics (22 papers), Plasma Diagnostics and Applications (22 papers), Advanced Optical Imaging Technologies (20 papers), Image and Video Quality Assessment (20 papers), Color Science and Applications (18 papers) and Circadian rhythm and melatonin (8 papers). The work is most often cited by research in Media Technology (131 citations), Social Psychology (142 citations), Endocrine and Autonomic Systems (35 citations), Atomic and Molecular Physics, and Optics (153 citations) and Cognitive Neuroscience (94 citations). Yan Tu has collaborated with scholars based in China, Netherlands and Bangladesh. Frequent co-authors include Ingrid E. J. Heynderickx, Lanlan Yang, Baoping Wang, Kees Teunissen, Yin Zhang, Lili Wang, Yuning Zhang, Dragan Sekulovski, Lili Wang and Li Chen. Their work appears in journals such as Journal of the Society for Information Display, Lighting Research & Technology, IEEE photonics journal, Plasma Sources Science and Technology and Thin Solid Films.

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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