Tian Shen

85 papers receiving 2.3k citations

Peers

Tian Shen
Comparison fields: 5 of 126
  • Biophysics 133
  • Materials Chemistry 1.0k
  • Electrical and Electronic Engineering 1.1k
  • Atomic and Molecular Physics, and Optics 555
  • Biomaterials 219
Replace King Wai Chiu Lai with:
King Wai Chiu Lai Hong Kong
Wenhui Wang China
Jiafang Li China
Zhuangde Jiang China
Nicola Ferrier United States
Wei Wu United States
Noy Cohen Israel
Daping Chu United Kingdom
Masaru Kojima Japan
Hiroshi Toshiyoshi Japan
Tian Shen relative to King Wai Chiu Lai Hong Kong King Wai Chiu Lai's profile →
Citations per field
00.5×4.1×
King Wai Chiu Lai · 1×
Citations per year

Countries citing papers authored by Tian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Tian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20161
3
Emergent collective decision-making: Control, model and behavior
20151
4 20150
5 20153
6 201456
7 201414
8 201335
9 2012141
10 201117
11 201012
12 2010148
13 201040
14 201012
15
Analysis of rational scale of coal enterprise groups
20091
16 200940
17 20098
18 200946
19 20085
20 200729

About Tian Shen

Tian Shen is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Semiconductor materials and devices (39 papers), Advancements in Semiconductor Devices and Circuit Design (22 papers), Graphene research and applications (13 papers), Copper Interconnects and Reliability (11 papers), Medical Image Segmentation Techniques (11 papers), Integrated Circuits and Semiconductor Failure Analysis (9 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Silicon Carbide Semiconductor Technologies (6 papers). The work is most often cited by research in Biophysics (133 citations), Materials Chemistry (1.0k citations), Electrical and Electronic Engineering (1.1k citations), Atomic and Molecular Physics, and Optics (555 citations) and Biomaterials (219 citations). Tian Shen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Yanqing Wu, Yi Xuan, Wei Zhou, Naing Naing Aung, Xiaolei Huang, Peide D. Ye, M. A. Capano, Minghao Qi, Dimitrios Vavylonis and James A. Cooper. Their work appears in journals such as Applied Physics Letters, IEEE Electron Device Letters, Computational Intelligence and Neuroscience, IEEE Transactions on Electron Devices and Journal of Neurophysiology.

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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