Rui Su

11 papers receiving 301 citations

Hit Papers

Deep learning for depression recognition with audiovisual cues: A review 2021 · 145 citations
1450+1+3Years since publication4080120

Peers

Rui Su
Comparison fields: 5 of 82
  • Experimental and Cognitive Psychology 129
  • Applied Psychology 43
  • Health Informatics 6
  • Cognitive Neuroscience 67
  • Computational Mathematics 2
Replace Minqiang Yang with:
Minqiang Yang China
Wheidima Carneiro de Melo Finland
Asim Jan United Kingdom
Gabriela Moise Romania
Shruti Gedam India
Juliana Carneiro Gomes Brazil
Jinyeong Yim South Korea
Ankita Singh India
Bochao Zou China
Zhaocheng Huang Australia
Rui Su relative to Minqiang Yang China Minqiang Yang's profile →
Citations per field
00.5×6.5×
Minqiang Yang · 1×
Citations per year

Countries citing papers authored by Rui Su

Since Specialization
Citations

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

Fields of papers citing papers by Rui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Deep learning for depression recognition with audiovisual cues: A review
Hit paper breakdown →
2021145
2 202070
3 202127
4 202121
5 201716
6 20217
7 20216
8 20215
9 20213
10 20233
11 20241
12 20250
13 20250
14 20130

About Rui Su

Rui Su is a scholar working on Social Psychology, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine, Applied Psychology and Molecular Biology, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Mental Health via Writing (3 papers), Emotion and Mood Recognition (3 papers), Digital Mental Health Interventions (2 papers), Machine Learning in Bioinformatics (1 paper), COVID-19 diagnosis using AI (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Multimodal Machine Learning Applications (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (129 citations), Applied Psychology (43 citations), Health Informatics (6 citations), Cognitive Neuroscience (67 citations) and Computational Mathematics (2 citations). Rui Su has collaborated with scholars based in China, Finland and Taiwan. Frequent co-authors include Lang He, Prayag Tiwari, Chenguang Guo, Wei Dang, Songtao Ding, Pekka Marttinen, Mingyue Niu, Jiewei Jiang, Xiaoying Pan and Hongyu Wang. Their work appears in journals such as Information Fusion, IEEE Internet of Things Journal, Telemedicine Journal and e-Health, Frontiers in Medicine and Chaos Solitons & Fractals.

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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