Tuo Chen

208 papers receiving 4.6k citations

Hit Papers

A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends 2024 · 138 citations
138202120262022202450100150200250

Peers

Tuo Chen
Comparison fields: 5 of 175
  • Atmospheric Science 1.3k
  • Global and Planetary Change 1.1k
  • Biological Psychiatry 99
  • Soil Science 366
  • Ecology 827
Replace Hong‐Yi Li with:
Hong‐Yi Li China
Jianlong Li China
Liang Chen China
Nicolai Panikov United States
Huiying Liu China
Jianjun Wang China
Hongqing Wang China
Fujiang Hou China
Deming Zhao China
Tim Urich Germany
Tuo Chen relative to Hong‐Yi Li China Hong‐Yi Li's profile →
Citations per field
00.5×4.5×
Hong‐Yi Li · 1×
Citations per year

Countries citing papers authored by Tuo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tuo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reduced microbial stability in the active layer is associated with carbon loss under alpine permafrost degradation
Hit paper breakdown →
2021288
2
A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends
Hit paper breakdown →
2024138
3 1993136
4 2021129
5 2005128
6 2019120
7 201396
8 201182
9 202376
10 200372
11 201870
12 200270
13 199470
14 202367
15 201566
16 200766
17 200364
18 202163
19 201662
20 200561

About Tuo Chen

Tuo Chen is a scholar working on Microbiology, Atmospheric Science, Ecology, Global and Planetary Change and Nature and Landscape Conservation, having authored 225 papers that have together received 4.7k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (48 papers), Plant Water Relations and Carbon Dynamics (40 papers), Tree-ring climate responses (36 papers), Genomics and Phylogenetic Studies (33 papers), Polar Research and Ecology (25 papers), Geology and Paleoclimatology Research (16 papers), Gut microbiota and health (15 papers) and Climate change and permafrost (13 papers). The work is most often cited by research in Atmospheric Science (1.3k citations), Global and Planetary Change (1.1k citations), Biological Psychiatry (99 citations), Soil Science (366 citations) and Ecology (827 citations). Tuo Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guangxiu Liu, Gaosen Zhang, Dahe Qin, Guobao Xu, Guoju Wu, Xiukun Wu, Binglin Zhang, Xiaohong Liu, Lizhe An and Jiawen Ren. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, The Science of The Total Environment, Geomicrobiology Journal, Forest Ecology and Management and Ecological Indicators.

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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