Tuo Shi

1.0k citations
51 papers · 688 · h-index 16

Impact in

Papers in

Tuo Shi

51 papers receiving 675 citations

Peers

Tuo Shi
Comparison fields: 5 of 83
  • Computer Networks and Communications 353
  • Electrical and Electronic Engineering 278
  • Information Systems 92
  • Computer Vision and Pattern Recognition 81
  • Aerospace Engineering 74
Replace Fan Dang with:
Fan Dang China
Chan‐Tong Lam Macao
Ye Li China
Ridha Bouallègue Tunisia
Parul Pandey United States
Bihua Tang China
Wei Nie China
Shenglin Mu Japan
Liangbo Xie China
Liseng Fan China
Tuo Shi relative to Fan Dang China Fan Dang's profile →
Citations per field
00.5×7.3×
Fan Dang · 1×
Citations per year

Countries citing papers authored by Tuo Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tuo Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 202072
3 202242
4 202037
5 201732
6 201631
7 202427
8 201827
9 202318
10 202318
11 201717
12 202216
13 202316
14 202015
15 202215
16 201915
17 202213
18 201913
19 200612
20 202111

About Tuo Shi

Tuo Shi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 51 papers that have together received 688 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), Energy Harvesting in Wireless Networks (11 papers), IoT and Edge/Fog Computing (8 papers), Age of Information Optimization (6 papers), IoT Networks and Protocols (6 papers), Advanced Memory and Neural Computing (5 papers), Mobile Ad Hoc Networks (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Computer Networks and Communications (353 citations), Electrical and Electronic Engineering (278 citations), Information Systems (92 citations), Computer Vision and Pattern Recognition (81 citations) and Aerospace Engineering (74 citations). Tuo Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhipeng Cai, Jianzhong Li, Hong Gao, Tongxin Zhu, Xun Zhou, Siyao Cheng, Yingshu Li, Zhongzhe Xiao, Min Huang and Junjun Jiang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Mobile Computing, ACM Transactions on Sensor Networks, IEEE/ACM Transactions on Networking and Measurement.

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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