Sheng Tan

1.7k total citations
46 papers, 1.3k citations indexed

About

Sheng Tan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Sheng Tan has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Sheng Tan's work include Indoor and Outdoor Localization Technologies (13 papers), Speech and Audio Processing (10 papers) and Plasma Diagnostics and Applications (9 papers). Sheng Tan is often cited by papers focused on Indoor and Outdoor Localization Technologies (13 papers), Speech and Audio Processing (10 papers) and Plasma Diagnostics and Applications (9 papers). Sheng Tan collaborates with scholars based in United States, China and Netherlands. Sheng Tan's co-authors include Jie Yang, Linghan Zhang, Yingying Chen, Yili Ren, Jian Wu, Zi Wang, Yang Ou, Yu Zhang, Zi Wang and Zi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics D Applied Physics and Physics of Fluids.

In The Last Decade

Sheng Tan

44 papers receiving 1.2k citations

Peers

Sheng Tan
Comparison fields: 5 of 88
  • Electrical and Electronic Engineering 573
  • Signal Processing 449
  • Computer Vision and Pattern Recognition 288
  • Artificial Intelligence 216
  • Computer Networks and Communications 215
Replace Nirupam Roy with:
Nirupam Roy United States
Yaxiong Xie United States
Anfu Zhou China
Fusang Zhang China
Wenguang Mao United States
Sarat Kumar Patra India
Omid Abari United States
Javier Macías-Guarasa Spain
Shan Cao China
Yunho Jung South Korea
Nirupam Roy United States View profile →
Citations per field, relative to Sheng Tan
Sheng Tan · 1×
Citations per year, relative to Sheng Tan
Sheng Tan · 1×

Countries citing papers authored by Sheng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Tan. A scholar is included among the top collaborators of Sheng Tan 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 Sheng Tan. Sheng Tan 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 1
2 87
3 3
4 9
5 0
6 60
7 5
8 43
9 15
10 36
11 9
12 5
13 1
14 20
15 133
16 208
17 41
18 4
19 11
20 8

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026