Tao Lin

1.1k total citations
43 papers, 717 citations indexed

About

Tao Lin is a scholar working on Molecular Biology, Surgery and Computer Networks and Communications. According to data from OpenAlex, Tao Lin has authored 43 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Computer Networks and Communications. Recurrent topics in Tao Lin's work include IoT and Edge/Fog Computing (3 papers), Network Time Synchronization Technologies (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Tao Lin is often cited by papers focused on IoT and Edge/Fog Computing (3 papers), Network Time Synchronization Technologies (3 papers) and Context-Aware Activity Recognition Systems (3 papers). Tao Lin collaborates with scholars based in China, Hong Kong and United States. Tao Lin's co-authors include Peter Garraghan, Jie Xu, Zhenyu Wen, Michael Rovatsos, Renyu Yang, Pu Wang, Fei‐Yue Wang, Zhiren Huang, Fan Zhang and Wei Chen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Tao Lin

38 papers receiving 691 citations

Peers

Tao Lin
Comparison fields: 5 of 132
  • Computer Networks and Communications 229
  • Transportation 130
  • Information Systems 106
  • Molecular Biology 94
  • Computer Vision and Pattern Recognition 92
Replace Jiamin Huang with:
Jiamin Huang China
Junhua Fang China
Laura Belli Italy
Yajie Liu China
Jiefeng Xu China
Xiaoming You China
Lizong Zhang China
Zahra Shakeri Hossein Abad Canada
Meng Chen China
Binfeng Wang China
Jiamin Huang China View profile →
Citations per field, relative to Tao Lin
Tao Lin · 1×
Citations per year, relative to Tao Lin
Tao Lin · 1×

Countries citing papers authored by Tao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Lin. A scholar is included among the top collaborators of Tao Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Lin. Tao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 39
6 21
7 67
8 1
9 1
10
Caregiver Burden Among Informal Caregivers of Persons Living with HIV/AIDS in Liangshan Prefecture, China
3
11 2
12 0
13 8
14 7
15 3
16 18
17 4
18 111
19 1
20 1

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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